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ORCIDInformatica (Slovenia), Volume 50
Volume 50, Number 1, 2026
- Shekhar Tyagi, Kunchanapalli Rama Krishna, Himanshu Sharma, Hridesh Gupta, Abhishek Tyagi, Hirdesh Sharma, Manoj Kumar Yadav:
Federated Learning-Enabled Collaborative Intelligence for Energy-Constrained Underwater Sensor Networks in Naval Surveillance Systems. - Yuanyuan Zhang:
E-Commerce Fraud Detection: An Integrated Approach with Mutual Learning-based Artificial Bee Colony and Proximal Policy Optimization Algorithms. - Zhen Zhang, Yunfei Xia:
A GNN-DRL-ResNet-Based Dynamic Routing Algorithm for Low Earth Orbit Satellite Networks. - Swati Chowdhuri, Trisha Paul, Sheli Sinha Chaudhuri:
Differential Sequence Analysis of EEG Brain Signals for Emotional and Cognitive Assessment. - Zhichao Xu, Zaiyi Pu:
IGWO-RF: An improved gray wolf optimization algorithm integrated with random forest for feature selection problems. - Deepa N. Reddy:
A Fuzzy Short-Time Fourier Transform and Support Vector Machine Framework for Reliable Spectrum Sensing in Noisy Wireless Channels. - Ramesh Vankudoth, Govardhan Reddy K:
VeriChain: A Formal Verification Framework for Detecting Vulnerabilities in Blockchain Smart Contracts. - Trupti Babasaheb Ghatage, Dattatraya Vishnu Kodavade:
MGC-SIFT: A Multimodal Graph-Based Color SIFT Descriptor for Content-Based Image Retrieval. - Sofiane Benabbes, Wael Aissaoui, Rabah Boucetti:
A Lightweight Edge-Deployable ANN Model for Real-Time Energy Anomaly Detection in IoT-Driven Smart Grids. - Oscar Karnalim:
Software Framework for Mitigating Programming Plagiarism and Collusion. - Slavko Zitnik, Matjaz Gams:
In memoriam: Prof. Dr. Anton Pavel Železnikar (1928-2026). - Jeena Joseph
, K. Kartheeban:
A Hybrid Deep Learning Framework for Cardiovascular Risk Prediction Using Temporal Embeddings, Ensemble Learning, and Bayesian Uncertainty Estimation. - Rajat Gupta, Charu Gupta, Nitasha Rathore, Gargi Mishra:
A Deployment-Oriented Hybrid CNN-LSTM-MIL System for Real-World Video Anomaly Detection. - Hongtao Zhang, Guang Jin, Na Zhang:
Online Detection of Railway Track Irregularities via JADE-Based Blind Source Separation and MEMS Accelerometry. - Yunyi Hong, Wei Xixiang:
Index Optimization and Construction of Football Player Evaluation Model Based on Faster R-CNN Algorithm.
Volume 50, Number 5, 2026
- Sheng Wang, Jing Wu:
Adaptive Multidimensional Fusion Network with Dynamic Decision Trees for Financial Market Trend Forecasting. - Mengzhu Yu:
Leveraging Local and Global Features: A CNN-Transformer Hybrid for fMRI-Based Autism Diagnosis. - Kun Xu:
AIRADL: A Deep Learning-Based Framework for Multimodal Physiological and Biomechanical Injury Risk Classification in Athletes. - Hongping Tang:
SEH-ConGAN: A Scalable GAN-based Framework for Robot-Assisted Automation in Animation Production. - Jeena Joseph:
TriFactNet: A Multi-Modal Neural Architecture for Fake News Detection Using Text, Source Credibility, and Stance. - Zaid Alaa, Ali Sabah:
Cardiovascular Disease Prediction via Hybrid SVM-SMOTE and Sparse Autoencoder Feature Reduction with Deep MLP Classification. - Xiaowen Guo:
DCNN-FLAME: A Dual-Supervised Style Transfer-Based Method for 3D Animated Character Expression Reconstruction. - Guiqiang Zhang, Huihui Han:
Adaptive Multi-Scale Image Stitching Using an Attention-Enhanced BiFPN With Contrast-Aware Optimization. - Ruihua Tong, Hao Xu, Peijiang Wang, Qingru Zhang, Chaoyang Hou:
EdgeRopeNet: Lightweight Neural Network for Real-Time Wire Rope Tension Monitoring Using FBG Sensors in Edge-Fog Mining Systems. - Veranda Syla, Algenti Lala:
Microsimulation-Based Evaluation of Fixed-Time and Vehicle-Actuated Traffic Signal Control Strategies Using PTV Vissim in an Urban Corridor. - Hua Jiang:
Dynamic Elderly Care Resource Allocation using SHBM-Tuned Deep Q-Networks (SHBM-RDQN) Hua. - Veera Reddy Dasari, Padmaja Madugula:
DualSecure Key Exchange (DSKE): A Hybrid ECDH-SIDH Protocol for Post-Quantum Cryptography. - Siping Huang:
A CNN-LSTM-Attention-Based Decision Support Model for Land Use and Agricultural Investment Optimization. - Bingcan Wang, Jin Zhang:
AI-SLMS: An AI-Integrated Framework for Predictive Maintenance, Intelligent Scheduling, and Access Control in University Laboratory Management Systems. - Dimara Kusuma Hakim, Rahmat Gernowo, Anang Widhi Nirwansyah:
Hybrid Panel Data Forecasting for Coastal Flood Hazard Assessment: A Spatial Data Mining Approach Using Exponential Smoothing and Neural Networks. - Yu Hao:
Multi-Teacher Knowledge Distillation for Lightweight Speech Interaction in Embedded Educational Robots. - Kexiong Wu, Yongyong Chen, Hongyan Pan:
GA-BPNN-Based Multi-objective Optimization Framework for Synchronous Grouting in Shield Tunneling. - Qiao Xue, Xudong Zhao, Yaqiong Wang, Xiangxiang Zhu, Bin Dong, Zuhong Zhang:
A Multi-layer Deep Learning Framework for Real-Time Fault Detection and RUL Prediction in Avionics Systems. - Shengguo Guo, Dandan Xing:
Kernel-PCA + RBM Feature Extraction with Optimised Naïve Bayes for Intrusion Detection in Impaired Wireless Sensor Networks. - Yuexing Li, Xiaojia Shen, Ye Yang:
AE-LSTM-Based Multimodal Sensing System for Real-Time Monitoring of Children's Play Behavior on Edge Devices. - Qian Song:
Dual-Channel Convolutional Neural Network with Mask Guidance for Digital Media Image Super-Resolution. - Yuanhang Lin:
GAN-Based Model for Multi-Instrument Collaborative Music Generation Using Deep Learning. - Chunjun Cheng, Shui Cao, Guangyan Tang, Fang Ma, Di Cui:
Dynamic BERT-Reinforcement Learning Model for Intent Recognition in Medical Dialogue Systems. - Jing Shen, Chi Wu, Yizong Dai:
Spatial-Temporal Graph Convolutional Network for Fault Diagnosis in Weak Electrical Systems. - Zhiyuan Tan, Jianneng Chen, Chuanyu Wu, Leiying He, Kun Yao:
Improved YOLOv8s with Swin Transformer and Depthwise Convolutions for Small-Target Pepper Detection and Localization in Agricultural Robotics. - Xiaochen Yang:
A Transformer-CNN-SVM Based Architecture for Legal Risk Assessment in Data Privacy Infringements. - Xin Zheng:
A Hybrid LSTM-Prophet Model for Sales Forecasting and Inventory Optimization in E-Commerce Time Series. - Jianfeng Wang, Lin Ma, Xinyan Pei, Ruonan Shi, Qi Jing, Chen Yang:
Dynamic Sub-Model Aggregation and Clustering for Intelligence Data via Hierarchical Federated Learning with Pre-Training. - Nives Grcic, Marija Habijan, Kresimir Matic, Irena Galic:
Physics-Informed Cold Diffusion Framework with Time-Conditioned U-Net for Multi-Coil Brain MRI Reconstruction. - Andi Dai:
Frog-Leaping Search-Optimized BiLSTM-Attention Network with GNN for News Hotspot Prediction and Dissemination Path Optimization.
Volume 50, Number 6, 2026
- Junju Sun, Longlong Zhang:
Recommendation Algorithm and Simulation Experiment Based on Graph Representation Learning. - Tianyu An, Changlin Lv, Manpo Li, Shugui Zhang:
Hybrid Anomaly Detection in OS Kernel Interfaces for Power Monitoring Systems Using Fuzzy Logic and Deep Belief Networks. - Zhijuan Wang:
A Generative AI-Driven Framework for Human-AI Collaborative Teaching: Design, Implementation, and Empirical Evaluation. - Juncai Li, Shiqi Li:
D-QLSA: A Deep Q-Learning and Simulated Annealing Fusion Algorithm for IoT-based Laboratory Equipment Scheduling. - G. Sowmya, R. Sridevi:
SmartScan: A Finite State Machine and CTL-Based Formal Verification Framework for Enhanced Security in Smart Contracts. - B. Madhurika, D. Naga Malleswari:
Optimized Deep Learning Framework for Opinion Mining of Customer Feedback Using Enhanced CNN Model. - Dongsheng Bei, Pengwei Zhu:
Forecasting Financial Crises with Public Macro-Demographic Indicators: A Comparison of Logistic, Tree-Based and LSTM Models. - Juanjuan Wang, Yetao Cong, Xine Yan, Zhanhao Zhang:
Prediction of Effective Stiffness in Rectangular RC Columns Using Ensemble and Boosted Machine Learning Models. - Zhao Yang:
Image Edge Detection Using FHN-CNN Model Based on Reaction-Diffusion Equations within a Dynamical Systems Framework. - Deepika Varshney:
Real-time Anomaly Detection and Multi-class Classification in Surveillance Videos Using Deep Learning. - Li Lan, Jiayu Wang, Lili Song:
DEEPMIND: A Deep Learning Model with RNN and Attention for Personalized Mental Health Education Effectiveness Assessment and Content Optimization. - Hongkun Zhang, Lei Guo, Shuanghua Liu, Cong Yu:
Design of a High-Precision ADC Test Platform Integrating STC12C5A60S2 Microcontroller and XGBoost-Based Dynamic Performance Estimation. - Kim Son Lim, Shih Yin Ooi, Yee Jian Chew, Md Shohel Sayeed:
Application of Machine Learning Algorithms for Anomaly Detection in Cybersecurity Threat Mitigation. - K. Revathi, S. Kaja Mohideen:
Audio Steganography for Healthcare Data Using 24x8 Compression and Bit Comparison Substitution Algorithm. - Yan Yan, Hanjun Li:
Facial Expression Localization and Recognition Using MDMO and Transformer for Mental Health Diagnosis Support. - Xu Qin:
A Hybrid RF-CART-SMOTE-GA Model for Early Warning in University Budget Management. - Alaeddine Moussa, Noursene Drine:
Fine-Tuning OpenAI Whisper-Small for Domain-Specific Medical Speech Recognition within a Microservice Architecture. - Jie Chen, Daisy H. Estrada, Haiyang Guan:
Bank Credit Default Risk Assessment Model Based on Federated Learning. - P. C. Chaitra, R. Saravana Kumar:
Enhanced Leukemia Subtype Classification Using SMOTE and Hybrid Feature Selection in Microarray Data. - Xiaohe Li, Linwei Wan:
CB-DBSCAN: A Core Ball-Enhanced Grid-Based Density Clustering Method for High-Dimensional Financial Data. - Haiqin Liu:
MSCNN-BiLSTM: A Network Intrusion Detection Model Optimized by Genetic Algorithm with Deep Spatio-Temporal Feature Learning. - Haibo Peng, Xinwei Xie, Tao Zou:
Neural Network-Based wind speed Prediction and Evaluation Using the NREL Wind Integration National Dataset. - Farid Boumaza, Atmane Hadji, Abdelkader Aroui:
Efficient Allocation of Computationally Intensive Application Tasks in NoC-based Heterogeneous MPSoCs. - Yuanhui Gong:
Multimodal Sentiment and Evaluation Prediction for Cultural Tourism Using an AGT-Optimized Convolutional Deep Belief Network (AGT-ICDBN). - Rajkumar Palaniappan:
A Systematic Review of Remaining Useful Life Prediction in Roller Bearings Using Artificial Intelligence Techniques. - Yaqiong Dong, Wei Guo:
AI-Driven Building Energy Prediction and Multi-Objective Scheduling Using LSTM-GRU-MPC Integration. - Yongming Mao, Xiaoxiao Ding:
Data Collection and Analysis of Psychological Health Signs of College Students Based on Artificial Intelligence Technology. - Cuili Hao, Huan Ding:
GCN-PSO: A Hybrid Graph Convolutional and Particle Swarm Optimization Framework for Urban Traffic Flow Forecasting. - Yu Liu, Lina Zhangi, Yanhong Fu:
Optimizing Charging Infrastructure for Electric Autonomous Vehicles in Smart Manufacturing using Hyperparameter-Tuned Artificial Neural Networks. - Maojie Tian, Huamin Sun, Weidong Liu, Shirui Sun, Chao Gao:
Prediction of Ice-covering on Transmission Lines in High-altitude Regions Based on LSTM and Deep Learning Methods.
Volume 50, Number 7, 2026
- Tengfei Wang:
Improved Mask R-CNN with Attention-Guided Feature Fusion for Fault Diagnosis of Electrical Equipment. - Ning Li, Lihan Gu:
IFP-DeepFM: Integrating Improved FP-Growth and Attention-Based Deep Factorization Machines for User Purchase Behavior Modeling and E-commerce Recommendation. - Zhibin Gu, Rentao Liu, Xiaqin Shan:
Hierarchical Adaptive Control of IoT-Integrated Mechatronic Systems Using Nonlinear Optimization and Edge-Cloud Collaboration. - Wenwei Su, Zhengxiong Mao, Fengbo Kong, Yan Shi, Pan Xiao:
ESBO-FDDPG: A Federated Reinforcement Learning-Based Continuous Resource Scheduler for Cross-Domain Multi-Cloud Systems. - Yu Zhang, Jinyue Shi, Haitao Ge, Liang Geng, Lulu Jia:
RuralGrid-PVO: A Reliability-Conscious Multi-Objective Optimization Framework for Distributed PV Siting in Rural Grids. - Xiaokui Liu:
A Hybrid BERT-ALBERT Model for Text Classification: Improving Accuracy in Document Analysis. - Meenu Meenu:
Comparative Performance Analysis of Nested and Non-Nested Transactional Variables in Software Transactional Memory. - Djawhara Benchaira, Cherif Foudil:
SA-FGSM: A Simulated Annealing-Enhanced Hybrid White-Box Adversarial Attack Framework. - Dhuha Kh. Altmemi, Ali Sameer Al-Abeej, Tariq Omran Al-Tuwaynee, Jawad Alkenani:
Enhancing Energy Efficient Routing Protocol for Wireless Sensor Network using Swarm Intelligence. - Pratiyush Guleria:
Parkinson's Disease Classification Using SHAP, LIME, and Fisher Score with XGBoost and White-Box Machine Learning Models: An Explainable AI Perspective. - Jinzi Piao, Yuxuan Jiang, Xintian Zhang:
Enhanced Risk Detection in Digital Finance via Improved Fish Swarm Optimization Enhanced Back Propagation Neural Network (IFSO-BPNN). - Jing Ling:
Federated EGSV-AACO for Decentralized Spectrum Sensing and Sharing in IoT Networks. - Baoyuan Liu, Bin Guo:
Underwater Image Enhancement Using a U-Net Enhanced GAN with Multi-Scale Feature Fusion and Channel-Spatial Attention. - Xuejuan Zhao:
Optimization of Collaborative Model of Cold Chain Logistics Transportation and Inventory Based on ACO-KELM. - Xiang Xu, Yu Zhang:
Passenger Face Recognition Algorithm for Railway Stations Based on Gabor Wavelet and Manifold Learning. - Ming Ma, Shujie Xu, Yingfang Miao, Shilong Chen, Xu Liu:
Fault Localization in Power Distribution Networks Using FLSO-SVR: A Data-Driven Machine Learning Approach. - Li Wang, Tao Wang:
Optimization of MZI-Based Photonic Neural Networks via Pseudo-Real Number Theory and GridNet Architecture. - Chaoran Li:
Edge-Optimized Real-Time Object Detection in AIoT Systems Using Quantized YOLOv8 and Deep SORT. - Zili Chen, Aihong Liu:
VMAPN: A Vision Mamba-Based Real-Time Behavior Recognition and Feedback System for Smart Education. - Goran Saman Nariman, Hozan K. Hamarashid:
Exploiting the Exponent of Floating-Point: A Novel Pathway to Efficient Federated Learning. - Panpan You, Shan Li:
Interval Valued Intuitionistic Fuzzy Logic for Anomaly Detection in Public Health Monitoring Signals. - Xiaoyan Tang, Pengfei Yue:
Enhancing Short-Term Load Forecasting in the Electric Power Industry: A Hybrid Approach Integrating Machine Learning and Advanced Optimization Techniques. - Guiping Xuan, Tianping Li:
Chain Mediation Path Optimization for Smartphone Dependence Prediction Using Graph Neural Networks and Reinforcement Learning. - Xufei Liu, Xiying Wang, Shuling Wang, Wenchao Qin, Yiran Tao:
Joint Symbol-Text Parsing in Power Grid Blueprints via Multimodal Fusion Using YOLOv7, PP-OCRv3, and GCN. - Yifan Zhang:
Enhancing Sentiment Analysis in the Airline Sector: A Deep Learning Approach Using Twitter Data. - Lina Gong:
Mutual Information-Based Feature Facet Clustering with Ensemble SVM for fMRI Visual Object Decoding. - Wenyong Guo, Ge Song:
Dynamic PDCA-ACO Model for Adaptive Course Scheduling in Educational Institutions. - Chunling Zhang:
Stable Diffusion Image Generation System Optimized with Variational Autoencoders and Low-Rank Adaptation. - Ankita Nagmote, Anushree Devarashetty, Shubha Puthran:
ThermalTrack: Efficient Thermal Face Detection with Haar Cascades and Tracking for Search and Rescue. - Na Liu, Yeting Yuan:
Intelligent Warning of Oil Depot Fire Based on Optimized Quantum Particle Swarm Optimization Algorithm in the Oil Depot Fire Information System.
Volume 50, Number 8, 2026
- Nawel Ghrieb, Tahar Guerram, Othaila Chergui:
Optimizing Deep Learning Model Ensembles for Plant Disease Detection through Ablation and Correlation Analysis. - Aijun Wang:
LegalHANOpt: A Hierarchical Attention Network with BOHB Optimization for Predicting and Explaining Legal Case Decisions. - Abdulkader Hajjouz, Elena Avksentieva:
Information-Theoretic and Algorithmic Thresholds for Network Attack Detection via Spectral and CUSUM Methods. - Uce Indahyanti, Arif Djunaidy, Daniel Siahaan:
FB2BPMN: An End-to-End Pipeline for Translating Unstructured User Feedback into BPMN Using LLM and Fuzzy Matching. - Zhisong Wu:
Emergency Rescue Path Planning for Urban Emergencies Based on Improved GA and PSO. - Xuanwei Zhang:
Grey Wolf Optimization-Based Decision-Control for Multi-Robot Signal Source Localization in Communication-Constrained Environments. - Jine Wang:
RL-AMHA: A Reinforcement Learning-Based Adaptive System for Personalized Mental Health Education and Intervention. - Cui Huang, Runguo Chai:
Multi-Modal Elderly Monitoring via Wearable Devices and WiFi-Enabled Edge-Cloud Architecture with HRV-Based Fall Detection. - Jiping Gong, Lili Wang:
Hybrid GA-PSO Model for Multi-objective Dynamic Optimization of Cruise Cabin Layouts under Marine Operational Constraints. - Chuanzhong Wu, Danqing Liang, Bo Yang, Li Xu, Yunlong Li:
A Proximal Policy Optimization-Based Reinforcement Learning Framework for Real-Time Personalized Endurance Training. - Xiaobing Huo:
Multimodal Diamond Inclusion Detection and Clarity Grading via Enhanced YOLOv7 with ECA and ASFF Modules. - Lei Zhao, Yang Yu, Quan Sun, Chonghui Ge:
Real-Time Network Threat Detection in Intelligent Power Monitoring Systems Using Multiobjective Horse Herd Optimization and Online Streaming Random Forest. - Yuchao Zeng:
Real-Time Detection of Public Relations Crisis Signals Using Hybrid LSTM and Isolation Forest Model. - Muhua Hu:
GCN-GRU: Multi step prediction model for urban water consumption by integrating spatiotemporal graph convolution and multi head attention mechanism. - Qianqian Yuan, Yuping Quan, Hui Li:
A Dual-Engine Embedded Face Detection and Recognition Framework Using YOLO5Face and Attention-Enhanced Faster-RCNN for Surveillance Video. - Haojie Ren:
H-CMAF: A Deep Learning-Based Cross-Modal Attention Fusion Framework for Dangerous Goods Detection from X-Ray and Visible Light Imagery. - Bingyan Yin:
A Dual-Channel Transformer-SHAP Framework for Early Detection and Interpretable Analysis of Youth Social Burnout from Multimodal Behavioral Data. - Li-xia Xu:
Graph-Temporal Deep Learning for Urban Image Modeling From Multimodal Discourse Interaction: A Case Study of Hefei. - Lubing Shang:
English Composition Topic and Emotion Classification Based on LDA-BERT Fusion and Dual GRU model. - Chao Liu:
Fault Diagnosis in Mechanical Power Transmission System via Improved Particle Swarm Optimisation of Multilayer perceptron classifiers. - Qinglin Shi:
A Genetic Algorithm-Based Scheduling Framework for Hospital Resource Allocation in Edge-Terminal Collaborative Networks Qinglin Shi. - Yuchun Liu, Haiwei Wu, Xuexin Li, Jintong Tu:
Adaptive Multiple-Kernel SVM with Joint Kernel-Weight and Hyperparameter Optimization for IR Spectroscopy. - Lanbao Hou, Zhiqiong Zou:
Enhanced Prediction of Manufacturing Quality Ratings Using Optimized Stacking Ensemble Modeling. - Chunxiao Zhao:
T-WGAN: A Transformer-Wasserstein GAN Approach for Melody Generation with Structural and Rhythmic Fidelity. - Yuan Li, Shuai Yuan:
A Multi-Dimensional Empirical Evaluation of k-Anonymity, Centralized and Local Differential Privacy, and Federated Learning for Personal Data Protection in Big Data Scenarios. - Zhixia Fu, Qiang Su, Zhiwei Mu:
A GAN-LSTM Based Framework for Dynamic Project Scheduling and Risk Prediction in Engineering Management. - Jie Chen, Dan Li:
NBO-SAGAN: Namib Beetle Optimized Self-Attention GAN for Cross-Modal Short Video Generation with Semantic Decoupling. - Shreenidhi Bs, R. Saravana Kumar:
MS-NADNet: A Multi-Stream Noise-Aware Deep Learning Framework for Microarray Image Denoising. - Meenu Meenu:
Tree-HP2PL: A Hierarchical Priority-Based Two-Phase Locking Protocol for Nested Transactions in Distributed Real-Time Database Systems. - Huihui Tian:
Genetic Algorithm-Based Calibration of PV System Parameters Utilizing Deep Learning Architectures.
Volume 50, Number 9, 2026
- Cynara Justine, Sathyanarayanan Manamohan, Linu Shine, Jiji Charangatt Victor:
SwarmShield: A Fully Decentralized Trust-Based Defense Against Adversarial Poisoning in Federated Learning. - Jing Gao:
PsyCrisCare: A Multimodal BERT-DNN Fusion with Hierarchical Classification for Student Psychological crisis risk Risk Prediction. - Shaoying Li:
Hybrid Optimization and Machine Learning Models for IoT Intrusion Detection in Smart Homes. - Assia Nouna, Soumaya Nouna, Ilyas Tammouch, Amal Badoui:
Spectral-Spatial Land Cover Mapping Using a Deep 3D Convolutional Neural Network on Hyperspectral Data. - Zehui Zhang, Qiang Yao, Jingman He, Bing Wen, Yuying Gong, Lin Zhou, Jian Wei:
A Multi-Task Framework for Intelligent Review and Semantic Consistency Detection in Scientific Project Documentation Using Large Language Models. - Man Hua:
DL-PRWarnNeuro: A Transformer-Based Deep Learning Framework for Multimodal Patient Deterioration Prediction in Neurological Intensive Care. - Peng Yan:
Deep Learning-Driven Framework for Automated Electromagnetic Modulation Identification and Optimization in IoT Networks. - Bing Yan:
Semantic Completeness-Enhanced Transformer Architecture for Named Entity and Relation Extraction in Noun Predicate Sentences. - Shipi Huang:
Hybrid Deep Q-Learning and Genetic Algorithm-Based Intelligent Agent Simulation Framework for Dynamic Distribution Network Optimization. - Taras Panchenko, Artem Bozhok, Volodymyr Kubytskyi:
Multi-Level CNN Feature Fusion from ResNet50 for Near-Duplicate Image Detection in Real Estate Imagery. - Xizi Li, Laiyan Yun, Bozhou Chen:
Deep Route Recommendation (DRR): A Context-Aware Attention-Based Deep Learning Framework for Personalized Travel Route Planning. - Xueli Chen, Ziru Zhang:
Hybrid Machine Learning Models for Predicting Energy Consumption in Residential Building Types Using Architectural Features. - Yuzhuo Xu, Qin Wang:
A Big Data-Driven Psychological Early Warning System for College Students Using Multi-Channel Active Noise Reduction and Adaptive FxLMS Algorithms. - Xuemei Guan, Guixian Tian:
A Closed-Loop Financial Risk Prediction and Dynamic Control Framework Using Optimized Random Forests. - Zhongyi Ni:
DBAS-SLSTM: A Multi-Sensor Fusion Approach for Real-Time Motion Attitude Error Detection and Correction. - Jingman He, Zehui Zhang, Jie Peng, Lin Zhou, Liwei Wang:
A Data-Correlation and Load-Balancing-Based Optimization Framework for Metadata Migration in Distributed Storage Systems. - Yin Zheng:
Performance Assessment of LSTM Networks for Short-Term Load Forecasting Based on Temporal Feature Engineering. - Sathees Kumar Nataraj:
Multiclass Classification of Retinal and Optic Nerve Disorders Using Time-Domain Features from Band-Separated PERG Signals. - Siham Amrouch, Ryma Guefrouchi, Islam Chabbi:
Deep Learning-Based Multi-Classification of Alzheimer's Disease Stages Using Fine-Tuned VGG19 and MLP on MRI Scans. - Jing Yi, Xiao Zeng:
Multi-Class Classification of Customer Complaints Using Convolutional LSTM and Neural Network Models. - Xinzhu Pu, Yaqi Ren, Jing Liang:
ACMBP: An Adaptive Graph-Based Meta-Learning Framework for Cross-Modal Behavior Prediction from IoT and Social Media Streams. - Wanying Liang, Boyue Wang:
Exp-Bagging: A Validation-Based Exponential Weighting Strategy for Decision Tree Ensembles. - Congyue Qi, Qinghua Tan, Ji Liao, Lijun Yuan:
Two-Stage Anomaly Detection in Super High-Rise Fire Sensor Networks Using Low-Rank Completion and RV-GAN. - Rina Refianti, Alifurrohman Alifurrohman, Eri Prasetyo Wibowo, Ina Siti Hasanah, Achmad Benny Mutiara:
Double Deep Q-Network with Experience Replay for Time Dependent Vehicle Routing Problem with Time Windows Under Historical Congestion Constraints Rina. - Yan Wu:
Research on Academic Risk Identification and Early Warning System of College Students Based on Adversarial Transformer Model. - Na Li, Changfeng Liu:
DDPG-Based Continuous Action Control for Hybrid Renewable Energy System Optimization in Multi-Energy Integrated Networks. - Zhongli Lv:
DCAGAT: A Graph Attention-Based Model with Reconstruction Regularization for Dollar-Cost Averaging Investment Prediction. - Yujuan Tao, Minqi Li:
Efficient Sparse Input Scene Reconstruction and Real-Time Rendering for VR Advertising Using Optimized NeRF Framework. - Jie Zhang:
Enterprise Financial Fraud Detection using GA-BPNN, Random Forest, and SVM with Multi-Modal Features.
Volume 50, Number 10, 2026
- Chengjun Zhou:
DBERA: A Dynamic Bayesian Network Framework for Real-Time Entrepreneurial Risk Assessment. - Shaonan Lin:
Joint Cultural and Grammatical Correction of Japanese Translations via a GAN-BiLSTM Framework with Policy Gradient Optimization. - Lei Li:
The Application of Adaptive Reinforcement Learning in Dynamic Pricing Strategies. - Xiaobo Wu:
A Hybrid Approach of Metaheuristic Algorithms and Group Method of Data Handling to Predict Source Code Testability. - Yong Du:
Energy-Aware Task Scheduling in Cloud Environments Using Digital Twin Architecture with CNN-LSTM and Multi-Agent Deep Reinforcement Learning. - Jia Chen:
A YOLO-GAN Integrated Framework for Real-Time Opera Stage Performance Assistance and Motion Capture Feedback. - Ligie Su:
T-BiLSTM-CCO: A Transformer-BiLSTM framework with Cuckoo Catfish Optimization for multilingual image description localization. - Dangli Wang:
PCA-Optimized SVM Framework for Detecting False Data Injection Attacks in Battery Energy Storage Systems. - Mohamed Maoui, Rohallah Benaboud:
S³OvA: A Reformable TinyML Solution for Self-Adaptive IoT-based Systems. - Huabing Yan:
Defense Against False Data Injection and Fault Tolerance Optimization for Resource Scheduling in Software-Defined Satellite-Terrestrial Networks Using SFT-LoRA. - Yongning Yuan:
Spatiotemporal Electric Energy Efficiency Evaluation via Hybrid Graph Neural Network and Transformer Architecture. - Xiaoxia Wang:
A Hybrid Deep Learning Architecture for Network Security Situation Awareness and Pre-Alarm in Large-Scale Data Environments Using LSTM, Autoencoder, and GNN. - Huiying Shao:
Hybrid AdaBoost and CatBoost Models Enhanced with HGS and CGO for Non-Stationary Runoff Forecasting. - Xia Zhang:
Intelligent Walrus Optimizer Fused Feedforward Neural Network (IntWO-FFNet) for Embedded Perception and Decision-Making in Industrial Robots. - Gang Ji:
Underwater Target Recognition and Path Planning Using Otsu-KMeans Segmentation and EM-PF-SLAM with Enhanced A-JPS Algorithm. - Yongfei Shen, Jun Xu, Yan Dang, Yafei Liu, Xiaoning Wang:
Bridge Defect Detection via CNNs, Multimodal Data Fusion, and Predictive Maintenance Models. - Mehmet Göl, Savas Öztürk, Ugur Dursun:
KorvexChecker: A BERT-Based Verification Framework for LLM Outputs in Turkish. - Xinguo Ding:
BEACON-AI: A CNN- BiLSTM -Attention Framework for Real-Time Multimodal Student Behavior Analysis and Academic Early Warning. - Wenjing Ding, Longhua Chen:
SSO-FFNN: A Scalable Seeker Optimization-Enhanced Feedforward Neural Network for Predicting Anxiety Levels in College Students. - Raouf Belmahdi, Djamila Mechta, Saad Harous:
SGWO: A Modified Grey Wolf Optimizer for Fog-Cloud Workflow Scheduling with Emphasis on Makespan and Cost Efficiency. - Keke Pan:
BIAW-DL-SA: Blockchain-Integrated Audio Watermarking and Deep Learning for Ownership Verification and Forgery Detection in AI-Generated Music. - Peishu Song:
KG-GAN: Knowledge Graph-Constrained GAN for Culturally Faithful Virtual Scene Synthesis. - Amrendra Kumar, Meenu Meenu, Tushant Kumar, Adarsh Kumar:
Automated Pneumonia Detection Using Dual-Architecture Deep Learning with GhostNet and Mo-bileNetV2. - Jie Feng:
Application of BiLSTM CRF Model Based on Hierarchical Attention for Implicit Emotion Recognition in Literary Texts. - Boling Chen, Jiacheng Fu, Dengbin Liao, Junbing Pan, Xiaoying Mo, Yiting Huang:
Using multi-channel priority scheduling mechanism to improve the transmission efficiency of Store-Forward processing structure under RISC-V architecture. - Runkun Guo:
Accurate Alignment Control and Energy Transmission Optimization of Dynamic Wireless Charging Mechanical Platform. - Dandan Ma, Feng Wan:
DeepFM-MOTSO: A Deep Factorization Machine Framework Optimized by Multi-Objective Tuna Swarm for Online Advertising Fraud Detection. - Shujie Yu:
Att-BiLSTM-GAN: A Temporal Coherence-Preserving GAN Framework for Dynamic Art Video Stylization. - Hui Du:
ELCNN-BiLSTM: A Hybrid Deep Learning Model for Timeliness Prediction in Cross-Border E-Commerce Logistics. - Wei Huang:
A New Energy Vehicle Autonomous Driving Decision Control Method Integrating Neural Networks and Reinforcement Learning.
Volume 50, Number 11, 2026
- Yue Li, Hao Yang, Yaorong Hu, Anjiang Liu, Chen Dou:
PUGWO-TEABC-MNet: A Hybrid Metaheuristic Framework for Optimal Ice-Melting Device Placement in Power Distribution Networks. - Jing Fu:
Blockchain-Enhanced Anomaly Detection Algorithm for Financial Data Sharing Platforms Using u-BlockMixup: A Smart Contract-Driven Machine Learning Framework for Secure and Reliable Financial Data Sharing. - Zexin An, Jing Du:
FedPPH: A Federated Personalized and Privacy-Preserving Health Model for Multi-Campus Medical Diagnosis. - Xiaolin Zhao:
Optimizing Animation Style Transfer with LS-GAN and GCN-ECANet for Increased Accuracy and Efficiency. - Junxiong Zhang, Jiao Wang, Qihang Wang, Qi Zhou:
Hierarchical Multi-Agent Deep Reinforcement Learning for Coordinated Optimization of Aggregated Virtual Power Plants in Smart Microgrids. - Danni Liu, Shengda Wang, Chunhui Shi, Jia Li, Xiuhong Jiang:
Lightweight Multi-Channel BiLSTM-Attention with Coordinated Defense for Intrusion Detection in Distributed Photovoltaic Communication Networks. - Yi Liu, Md Gapar Md Johar, Jacquline Tham:
MLSTM: A GraphSAGE-based Android Malware Detection Method Integrating Mean Aggregation and LSTM. - Wanhao Gao, Yaxin Wang:
Attention-Guided Multimodal Signal Fusion with Transformer-Based Deep Transfer Learning for Real-Time Emotional Crisis Prediction in Students. - Manpo Li, Xuerui Yang, Xiaochen Yang, Shugui Zhang:
Evaluating and Securing Power Systems against Vulnerabilities Introduced by Large Language Models. - Yuanyuan Xing, Xu Shuang, Jiaxian Chen, Zhipeng Hu, Jiang Wei:
Intelligent Detection of Transmission Line Hazards Using Video Image Analysis Techniques. - Yuqi Tang:
BE-RAGAN: A Bayesian Ensemble GAN Framework with Black- Scholes Risk Feature Integration for Scalable Financial Fraud Detection. - Eerdun Eerdun, Jianzhong Yang, Dongxing Liu, Ke Shi, Jing Li:
A Hybrid SNMP-STP-Based Framework for Topology Discovery and Energy Optimization in Heterogeneous Power Information Networks. - Lihong Zhang, Kai Yan, Xia Yang:
Secure IoT Data Sharing via Semi-Supervised Clustering Federated Learning with Fuzzy Multi-Objective Decision-Making and SecureBoost Integration. - Maozheng Fu, Zhang Jiani, Zhang Yi:
Personalized Route Recommendation via STGAT-DDPG Using Biosignal and Environmental Data Fusion in Smart Tourism. - Rui Liu, Yiwei Lu:
Adaptive Weighted Federated Learning for Enhanced Data Privacy in Cross-Platform E-commerce. - Jianeng Sun, Kai Zou:
Hybrid LSTM-Transformer Model for Sequential and Context- Aware Tourism Destination Recommendation. - Zhe Chen:
Automobile Fault Diagnosis Using Lightweight Cetacean Optimization and Multi-Scale Residual Neural Networks. - Jin Li, Chunyu Yang:
Hybrid MIRL and ACO-based Approach for Real-Time Path Planning in Visual SLAM. - Xin Zhou:
A Hybrid CNN-GrabCut and GAN Architecture for Semantic Segmentation and Artistic Style Transfer in Image Generation. - Shaofeng Yu, Jianxu Zhong, Xin Yan, Jinpeng You, Zehan Cai:
Scalable Data Lake Architecture with Apache Spark for Predictive Maintenance and Optimization in Energy Storage Systems. - Xin Ge:
K-Nearest Neighbor-Based Detection and Mitigation of False Data Injection Attacks in Nonlinear Automatic Generation Control Systems. - Youfang Xu:
LC-ATSR: A Transformer-Based Approach for Semantic Retrieval in Lakehouse Data Platforms. - Li Deng, Lin Geng, Yu Liu, Peng Zhang, Guocheng Wang, Feng Liu:
A Deep Reinforcement Learning and Evolutionary Optimization- Based Collaborative Control Network for Power Systems with Multi- Terminal Information Fusion. - Gao Liu, Changyu Li, Ruchao Liao, Linkun Yu, Jianguo Zhan, Ning Ding:
A Tactile-Driven Hierarchical Reinforcement Learning Framework for Dexterous Robotic Manipulation. - Yinghan Xiang, Congrui Zhang, Shibo Hou, Yifu Wu, Xu Guo:
CAFWE: A Feature-Weighted Ensemble Classifier for Predicting Performance of Copper-Aluminum Composite Conductors. - Shuai Gao, Hu Yue, Yujun Wang, Hao Hu, Meiying Zhu:
Optimizing LSTM Hyperparameters with Fish Swarm Optimization for Enhanced Power Load Prediction in Wireless Networks. - Hui Ek:
NEAT-ID: A Novel Method for Enhancing Threat Detection Process DDoS in Cybersecurity. - Liu Yan:
Enhancing Library Recommendation Systems with Integrated PSO for Parameter Tuning in BERT-Derived Multimodal Contexts. - Yuzhang Huang:
A Hierarchical Attention-Based Heterogeneous Multi-Agent PPO Framework for Distributed Warehouse Scheduling.
Volume 50, Number 12, 2026
- Jianguo Zhang, Ziran Jia, Wenxing Sun, Duanjiao Li, Yun Chen, Junwen Yao, Jianming Liu, Yongchao Liang, Ning Ding:
Adaptive Navigation for Robots Based on Object Relationship Reasoning and Reinforcement Learning. - Weiyan Feng, Li Zhang, Xin Zhao:
IoT Privacy Protection Scheme Based on Hyperledger Fabric. - Saba Sheiba, Neelakantappa M:
TAU-PSO: A Transferable Attention U-Net with Particle Swarm Optimization for Optic Cup-Disc Segmentation in Fundus Images. - Dinghui Lyu:
Abnormal Traffic Detection in Industrial Control Networks Using a CNN-LSTM Fusion Model. - Amadou Diabagate, Yazid Hambally Yacouba, Awa Fofana, Abdellah Azmani, Adama Coulibaly:
An Agent-Based Simulation Framework for Clinical Management Integrating Fuzzy Logic-Based Patient Satisfaction Evaluation. - Xiaosa Zhou:
STC-RL: A Spatiotemporal Control Framework for Intelligent Environmental Regulation in Automated Warehousing Using IoT and Deep Learning. - Yingying Dai:
Gold Price Forecasting with a Hybrid Queuing Search Algorithm and Extreme Gradient Boosting Regressor Model. - Mingjie Liang, Cuimei Li:
ATT-LCNN: An Attention-Enhanced Lightweight CNN for Acoustic Signal-Based Municipal Pipeline Leak Detection. - Zeliang Chen:
Predicting Loess Collapsibility Using Grey Relational Analysis and Transformer Networks Zeliang Chen Lanzhou New Area Urban Construction Engineering Co., Ltd., Lanzhou 73000, China. - Ming Lu, Heng Wu, Rongzhou Luo:
API Interception-Based GPU Virtualization for Containerized HPC Workloads in Cloud Environments. - Zhe Li, Jinhao Liang, Yu Zhang:
Digital Twin-Based Multimodal Data Fusion for Health Monitoring in Smart Elderly Care Platforms. - Deepa A B, Varghese Paul:
Ensemble Feature Fusion of VGG16, ResNet50, and Vision Transformer for Pneumonia Detection in Chest X-ray Images. - Cong Zhang, Jin Wang, Lu Lin, Xiaoyi Wang, Yuxuan Li, Yue Ban:
ADRL-VPP: An Adaptive Deep Reinforcement Learning Framework for Load Regulation in Virtual Power Plants. - Huijuan Hao, Dezhi Kong, Kunfeng Liu:
Adaptive Warehouse Task Allocation Using Stacked Surrogate Models and Active Learning with Simulation-Based Validation. - Wafa Kareem Abdullah, Idress Mohammed Husien:
Swarm-Optimized Ensemble Learning for Intrusion Detection using CICIDS2018 and UNSW-NB15. - Fengyi Liu, Jie Ren, Siru Liu:
Topology and Detailing in Personalized 3D Garment Modeling Through Neural Implicit Representations and Constraining GANs. - Wei Yao:
Elevator Fault Prediction and Adaptive Maintenance Using Nonlinear IoT with CNN-LSTM and BP Neural Networks. - Tingting Yang, Xin Wang:
Adaptive UAV Inspection and Path Planning for Distribution Networks Using Multi-Agent Deep Reinforcement Learning. - Jiping Liu, Chenxiao Liu:
IoT and Multi-Source Data-Driven Intelligent Warehouse Optimization Using KMA-RDTC. - Md Jiabul Hoque, Nor Hidayati Binti Abdul Aziz, Sumayea Benta Hasan, Md. Khaliluzzaman:
Interpretable Machine Learning Framework for Early-Stage Potato Yield Forecasting Using Climatic Features in Bangladesh. - Li Jianmin, Jinmei Yang:
Development of a Federated Learning and Knowledge Graph-Based Personalized E-Commerce Recommendation System Using PTB-MFA. - Zhenxiong Yan:
Research on System Software Fault Data Analysis and Diagnosis Improvement Based on ISOA-SVM. - Xulei Gao:
AI-Blockchain Integrated Trusted Interaction Mechanism... Informatica 50 (2026) 411-426 411 AI-Blockchain Integrated Trusted Interaction Mechanism for Enhanced Network Security. - Dan Cui:
Credit Evaluation of Supply Chain Partners Using Ensemble Learning and Conditional GANs. - Yonghong Li:
Fusion of Improved LSTM with Graph Attention Networks for Malicious IoT Traffic Detection. - Hui Li, Chao Xv, Ruijuan Liu:
A Hybrid AI Framework Combining Causal Nonmonotonic Reasoning with VMD-GNN and IGWO-DBN for Decision-Making under Big Data. - Bin Zhang, Xi Yang, Chen Zhang, Tangsen Huang:
Comparative Analysis of Transformer-Based and Neural Network Models for Emotion Detection in Tweets.
Volume 50, Number 13, 2026
- Huijuan Zhang:
Bayesian Optimization with SAT Solver for Enhanced Database Security Identification. - Tianfu Huang, Chunguang Wang, Tongyao Lin, Xiaoxu Hu:
Research on Error Correction Algorithm for Intelligent Energy Metering System Based on Deep Learning. - Sicong Li:
Dynamic Tangent Search-Driven Graph Neural Networks for Cross- Border E-Commerce Sales Forecasting. - Juan Di:
Optimizing Long-Term User Engagement in Short-Video Recommendation via Reinforcement Learning: A Markov Decision Process Framework with Composite Rewards. - Tianming Zhan:
Software-Defined Networking for IoT-Based Motor Bearing Fault Diagnosis. - Yuhao Yan, Linlu Chen, Houyan Zhang, Chong Chen, Leran Liang, Meng Yang:
SAGE: A Unified Evaluation Framework for Data Augmentation and Few-Shot Learning on Small and Imbalanced Tabular Datasets. - Haixiang He:
Analyzing Public Opinion Bias through Social Media Using a Hybrid RoBERTa-BiGRU-DPCNN Sentiment Analysis Framework. - Hu Yang:
Integration of Deep Reinforcement Learning and Cloud Computing for Enhanced Sports Performance Prediction and Training Guidance. - Yanyan Wu, Yang Yang, Zhanlong Li:
Hybrid GRA-GRM Model for Spatiotemporal Forecasting in Port Logistics Using Grey System Theory and Nonlinear Feature Selection. - Wenbo Wu:
A Grid-Coupled Clustering Algorithm with Soft Constraints for Mixed-Attribute Data Streams. - Xi Fang, Ying Liu, Jialong Wu, Jing Lv, Galvin:
Design and Edge-Enabled Implementation of Smart Acousto-Optic Safety Wearables for Power IoT Environments. - Sujing Yu:
Predicting Critical Submergence in Horizontal Circular Intakes Using Meta-Heuristic Optimized Gradient Boosting Ensembles. - Yong Wang, Fan Jia, Yi Ren, Ming Wang, Jun Li:
Feature Adaptive Distillation and Attention-Enhanced Siamese Network for Intelligent Network Intrusion Detection and Proactive Response. - Febry Mandasari, Eri Prasetyo Wibowo, Tubagus Maulana Kusuma, Sri Wulandari:
Quantitative Analysis of Soil Bearing Capacity Using Image-Based Morphology and Capacitive Moisture Sensing. - Tianhui Li:
Perception-Edge-Cloud Architecture for Post-Stroke Rehabilitation: A Biosensor-Based Intelligent System for Movement Recognition and Compliance Assessment. - Li Zhang:
Knowledge-Augmented Deep Learning Framework for Chinese Literary Text Analysis Using ARO-HA-BiLSTM. - Ni Li, Youyu Xiao:
A Dual Modeling Framework for Music Recommendation Via GraphSAGE and Deep Interest Networks (DIN). - Linmeng Liu:
Financial Forecasting and Budget Management Based on Machine Learning. - Qingjun Ni:
End-to-End Network Security Prediction via Dual Attention- Enhanced Situation Assessment and IHHO-GResNeSt Integration. - Xiaohong Huang, Xiao Tao:
Research on Fine-Tuned BERT-CRF Joint Labeling Model for Contractual Syntactic and Lexical Ambiguity Resolution in Business. - Mert Büyükdede:
A Virtualized BB84 QKD Simulator in Python Using Qiskit Aer for Education and Prototyping. - Jiajie Liu, Dianwei Zhang:
Predicting Tourist Flow and Economic Impact Using a Transformers- Based Deep Learning Model with Multi-Modal Data Integration. - Qianfei Liu, Nan Lv:
Multi-Objective Logistics Route Optimization Using a Physics- Informed Neural Network-Assisted Genetic Algorithm. - Fang Gao:
Nonlinear Function Fitting and Prediction Using Newton-CG Optimization and Transformer Architecture: Enhancing Accuracy and Efficiency in High-Dimensional Nonlinear Predictions. - Vijaya Kittu Manda:
A Unified Taxonomy and Empirical Review of Recent Proximal Policy Optimization Variants and Their Real-World Applications. - Manisha Tiwari, Shagun Srivastava, Padmaja Joshi:
Comparative Analysis for Requirement Classification Using Transformer based Pre-trained Models for Digital Governance RFPs. - Dawei Lv:
Genetic Algorithm-Based Intelligent Optimization for Enhancing Security in High-Performance Concrete Supply Chains. - Mohamed Hassan Oukhouya, Noureddine Aboutabit, Imad Hafidi:
Risk-Constrained Trade Sizing via Calibrated ML Probabilities and Linear Programming on SMC/ICT-Driven Structural Signals. - Huaipeng Li, Jing Li:
Hybrid Early Warning System for Financial Crises in Listed Companies Using Attention Mechanism and LightGBM.
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