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ORCIDEvolving Systems, Volume 17
Volume 17, Number 1, February 2026
- Nanwei Ding, Ming Li, Cong Zhou, Ruijun Tie:
Short-term load forecasting based on successive variational mode decomposition and multi-band feature extraction. 1 - Indu Rani
, Chandan Kumar Verma:
A hybrid PINNs approach to capture interest rate dynamics in short-rate model. 2 - Ghulam Rabani Romal Rasa, Sepehr Ebrahimi Mood, Elham Abbasi:
Increasing the accuracy of an extreme learning machine using a chaos particle swarm optimization algorithm. 3 - Ke Qin, Wenjie Zhang, Xiaoting Dai, Wei Hong, Linhai Wu:
A deep learning-based early warning model for food safety risks: evidence from the aquatic products sector in China. 4 - Deepika Khurana, Anupam Yadav:
A binary multi-objective optimization algorithm for large-scale feature selection problems. 5 - Yanwei Sui, Xinxin He, Weifeng Shan, Guoming Yuan, Huiling Chen, Yu Yang, Mengyu Wang, Guoxi Liang:
Hunger games search with crisscross selection and positive greedy selection mechanism and its application in feature selection in gene datasets. 6 - Sulochana I. Akkalkot, S. G. Srivani:
Protecting transmission line in STATCOM integrated DFIG system using adaptive distance relay blocking scheme. 7 - Ramanujam Elangovan, A. M. Abirami, K. Sakthiprakash, S. Sumitra:
Efficient extraction and evaluation of hand-crafted meta-data features for Dravidian spam SMS classification. 8 - Ravneet Kaur, Rajendra Kumar Roul, Shalini Batra:
Towards smarter mobility: a Grey Wolf Optimization-based incremental extreme learning machine framework for explainable bike-sharing demand forecasting. 9 - Ahmed M. Elshewey, Hazem M. El-Bakry, Ahmed M. Osman:
Enhancing water potability classification using a hybrid GRU with LSTM deep learning models based on relief algorithm and bayesian optimization. 10 - Aaditya Garg, Ashmit Calja, Priya Kansal, Sachin Kansal:
Act-Reco: Development of activity recognition framework based on deep learning in the real-time environment. 11 - J. Jeha, Kamalaselvan Arunachalam:
Advanced fault detection and classification in high voltage transmission lines using deep learning integration. 12 - Giovanni Panella, Pietro Ducange, Manuele Bettelli, Filippo Vurro, Michela Janni, Michela Fazzolari, Riccardo Pecori:
Towards continuous water stress classification in tomato plants via fuzzy Hoeffding trees and in-vivo biosensors. 13 - D. R. Denslin Brabin, A. Vishnu Priya, Agitha W, K. Kalai Kumar:
A robust intrusion detection framework: CapsuleLSTM-TransNet with OLPO for network traffic analysis. 14 - Anjali Choudhary, Ranjit Rajak:
EMMCA: enhancing modified Min-Min using cuckoo search algorithm in cloud computing. 15 - Akshika Jain, Ram Vikas Mishra, Gunjan, Ajay K. Sharma:
Gathers: genetic algorithm-based transmission through heterogeneous energy efficient cluster-based routing for mobile sink in wireless sensor networks. 16 - Soumia Benbakreti, Samir Benbakreti, Kadda Benyahia, Ahmed Roumane, Abdelkrim Ouhab, Mohamed Benouis:
Mathematical modeling and optimization of vision transformers for disease classification in agronomic imaging. 17 - Anurup Naskar, Shivam Singh, Ram Sarkar:
Colon disorder classification using altruistic genetic algorithm based fused deep feature selection method. 18 - Xin Li, Zhiqiang Wang, Jingbao Wang, Yubin Lan:
Application of electronic tongue combined with meta-learning and contrastive learning dual aggregation network for rapid detection of rice origins. 19 - Zhen Li, LuHong Wang:
Research on warship system modeling and recovery based on hybrid improved ant colony optimization and genetic algorithm. 20 - R. Manjula Devi:
Reformed histogram equalization with Tasmanian devil optimization and hybrid MDHNN-MLP for lung tumor detection. 21 - S. N. Manoharan:
Optimizing medical image protection: integrating blockchain and elliptic curve cryptography with running city game search algorithm. 22 - Hussein Alaa Al-Kabbi, Russul Hazim Abed, Fuqdan Al-Ibraheemi:
Correction: Dual attention-based hybrid deep learning framework for short text classification. 23 - Mehdi Taassori:
ALPS: adaptive low power encoding scheme for networks on chip. 24
Volume 17, Number 2, June 2026
- Dheeraj Kumar Dixit, Dharmendra Dangi, Jeetendra Kumar, Rashmi Gupta, Suvarna Sharma, Amit Bhagat:
Graph attention and multi-neural memory networks for fake news detection: FakeDetectNet framework. 25 - Yangyang Gu, Yaqian Mao, Yuqiu Shen, Haixin Wu, Yue Yu, Jianhong Wang:
Fractional Newton-derived optimizer: a novel metaheuristic for global optimization problems. 26 - V. Karthikeyan, S. Suja Priyadharsini:
Multidimensional acoustic feature fusion with attention-guided light weighted CNN for improved speaker recognition. 27 - Asan Nainar Mohamed Mustafa, Samydurai Arumugam, S. Venkatesh:
Segmentation and germination prediction with crossover-boosted sunflower optimization for precision agriculture. 28 - Kishore Dutta:
Simulating adaptive warfare: insights from the Russia-Ukraine conflict. 29 - Asif Nawaz:
Deep explainable multimodal framework for detecting war-related misinformation in conflict zones in crisis communication. 30 - Zia Ullah, Fazli Amin, Marouan Kouki, Hakim AL Garalleh, Afnan Al Agha:
A novel Schweizer Sklar aggregation framework for fuzzy bipolar soft numbers in multi-criteria decision-making: application to deep learning model evaluation. 31 - Gauri Kalnoor, Vijayalaxmi Kadrolli:
Chaotic dung beetle optimization-enhanced multi-agent deep reinforcement learning for joint task offloading and resource allocation in multi-unmanned aerial vehicle internet of medical things networks. 32 - Madhusmita Mishra, D. P. Acharjya:
An integrated cat swarm rough set optimization algorithm for the detection of cirrhosis disease. 33 - Potharla Ramadevi, Raja Das:
A hybrid framework integrating Fuzzy K-means segmentation and CNN feature extraction with SVM kernel for lung cancer classification. 34 - Shuqin Zhang, Dashuang Wang, Yuanqing Xia, Hui Zhao, Jizhao Liu:
Multi-level cross-view contrastive learning for enhanced item intention-aware recommender system. 35 - Ke Yuan, Chenmeng Zhao, Hanlin Sun, Yuwei Zhou, Gaojuan Fan, Chunfu Jia:
Lightweight block cipher algorithm identification scheme based on transformer. 36 - Manas Sarkar, Ardhendu Mandal:
Atrous convolution and fuzzy pooling-based multi-channel CNN model for accurate follicle segmentation. 37 - Abhineet Suman, Gunjan Rehani, Sandeep S. Udmale:
A novel optimized remaining useful life forecasting model for lithium-ion batteries. 38 - Nusrat Jahan, Samrat Kumar Dey, Mehrin Anannya, Shamim Al Mamun, Moshiur Rahman, Rashed Mazumder:
An enhanced convolutional ResNet architecture with hybrid loss function for multiclass arrhythmia detection. 39 - Yashaswini Gowda N, R. V. Manjunath:
Deep learning based skin lesion detection in dermoscopic images enhanced by ant colony optimization. 40 - V. Brindha Devi, Balika J. Chelliah, Y. Arockia Jesuraj, S. Dhanasekaran:
Hybrid Fed-QNet: a federated deep learning framework with quantum GANs for privacy-aware plant disease detection. 41 - Harini Vaikund, S. G. Srivani:
Smart energy management: LSTM-based strategies for cost-effective PV-wind microgrid in hospitals application. 42 - Jinbao Wang, Shiliang Zhang, Jun Liu, Xuehui Ma, Haolin Liu:
Fine-tuning for data-enabled predictive control of noisy systems by reinforcement learning. 43 - Muhammad Yunus Iqbal Basheer, Azliza Mohd Ali, Nurzeatul Hamimah Abdul Hamid, Sharifalillah Nordin, Rozianawaty Osman, Nooraini Yusoff, Xiaowei Gu:
Adaptive local outlier factor. 44 - Santosh Kumar Ray, Seba Susan:
Error-weighted drift-adaptive ensemble framework for classification of streaming data. 45 - Muhammad Umar, Soheil Salahshour, Ambreen Bano, Muhammad Rehan Banaras, Sanaullah Dehraj, Mohamed R. Ali:
A neuro Levenberg-Marquardt backpropagation approach for the human liver model. 46 - José Ramón Trillo, Juan Carlos González-Quesada, Francisco Javier Cabrerizo, Ignacio Javier Pérez:
Mitigating Linguistic Aggression in Group Decision-Making: A Comparative Analysis of AI-Driven Hostility Detection. 47 - Abubakar Tanveer, Rizwan Gul, Muhammad Shabir:
A novel scheme for the roughness of neutrosophic fuzzy sets by soft relations over dual universes with application in decision analysis. 48 - Dhairiya Agarwal, Anju Sharma, Prabha Garg:
Explainable AI-driven Alzheimer's disease stage diagnosis leveraging CNN. 49 - D. Prabakar, S. Prabu, Mukesh Madanan, Shrikant Tiwari:
Relocating redundant node based on similarity Graph Neural Network and Deep Neural Network with Remora Optimization in IWSN. 50 - Blessa Binolin Pepsi M, Senthil Kumar N:
Block based ensemble learning on imbalance data stream with concept drift using enhanced particle swarm optimization. 51 - Zhaoyu Shou, Jingquan Chen, Xiaohu Yuan, Ziyong Wu:
ECTL: deep prediction of learning emotion propagation in smart teaching. 52 - Antonio Carta, Alberto Roberto Marinelli, Lucia C. Passaro:
Adapting language models with continual learning for temporal drifts. 53 - Sabah Lecheheb, Soufiane Boulehouache, Said Brahimi:
An automated MAPE-K analyzer based on a GAN-AutoML approach. 54 - Zhiwu Chen, Hui Chang, Mengyao Chen, Shengwei Zhang, Kaihang Zhang, Dongliang Han, Xingying Kong, Jiahui Liang, Hao Cui, Gen Guo:
Adaptive covariance-guided whale optimization with dynamic subspace partitioning for multimodal engineering problems. 55 - Thommas K. S. Flores, Daniel G. Costa, Ivanovitch Silva:
Evolving vector quantization-aware training: an adaptive method for compressing machine learning models. 56 - Xinhui Cui, Rongrong Yuan, Wenxuan Li, Rui Hu:
Enhanced elite opposition-based manta ray foraging optimization for data clustering. 57 - Satyanarayana Reddy Beram, R. Lalchhanhima, Ksh. Robert Singh:
MsFuNet: a novel deep learning framework for robust mammogram analysis using context-aware feature pyramid networks and cross-attention feature fusion. 58 - Arian Lotfi, Siavash Damari:
ITSMixer: iterative time-mixing MLPs for efficient long-term forecasting. 59 - Rafael Batres, Azul Rosales:
MOMEVO: a modular surrogate-assisted evolutionary framework for efficient multi-objective optimization. 60 - Jan Corfixen Sørensen, Eva Reybroeck, Katrine Heinsvig Kjaer, Bo Nørregaard Jørgensen, Carl-Otto Ottosen:
A multi-objective evolutionary algorithm for optimization of dynamic supplemental light based on fluctuating electricity prices. 61 - Monika Singh, S. Indu, Natarajan Jayanthi:
YogCNN: an ensemble neural network architecture for yoga asana prediction. 62 - Lijing Zhang, Jiamin Yu, Yulan Lu, Xin Sun, Xinhui Si, Hu Zhang:
Multi-objective optimization for multi-UAV rendezvous planning in urban environments. 63 - Praveen Kumar Kazipeta, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli:
POETIC-NET: an augmented contextual feature representation via graph centrality relation for emotion recognition of English poetry. 64 - S. Dinesh Kumar, R. M. S. Parvathi:
Computation offloading and scheduling in mobile edge networks and SDN. 65 - Madhava Rao Alla, Chandan Nayak:
Enhancing EMG signals: an approach with optimized adaptive filtering. 66 - Lingzhi Wang, Jiarui Zhao, Chenyang Li, Wanjun Li, Cheng Li, Jie Li, Ling Zhao:
A modified sand cat swarm optimization algorithm incorporating gold exploration strategy and sparrow alert mechanism. 67
Volume 17, Number 3, September 2026
- Samiyeh Khosravi, Mehrdad Kargari, Babak Teimourpour, Mohammad Talebi:
Enhanced fraud detection in transaction graph using hidden Markov model and improved honey badger metaheuristic-based SVM. 68 - Davar Giveki:
Joint optimization of radial basis function neural networks using an enhanced bat algorithm and adaptive weight tuning for robust image recognition. 69 - Himanshu Kumar, Martin A:
FG-T-FBP: fine-grained temporal factorized bilinear pooling fusion using graph attention mechanism for cross-modal emotion recognition. 70 - Abdelhadi Eloudrhiri Hassani, Ilham El Mourabit, Adil Salbi, Aicha Sahel, Abdelmajid Badri:
Actions oriented scheduling based on reinforcement Q-learning: an optimized allocation of time-frequency communications for TSCH in IoT networks. 71 - Virendra Kumar Yadav, Ankit Kandpal, Rakesh Kumar Gupta, Sumeet Agarwal, Anup Singh:
Segmentation and classification of brain tumors using artificial intelligence and multiparametric MRI. 72 - Gülnur Yildizdan:
Chaotic aquila optimizer enhanced with elite opposite-based learning and variable search strategies. 73 - Akash Verma, Arun Kumar Yadav:
ABRB-Net: enhancing medical image segmentation with attention based boundary refinement. 74 - Bibhuti Bhusana Meher, S. Jeevaraj:
An interval-valued Fermatean fuzzy PROMETHEE method based on the Heronian aggregation operator and its applications to sustainable supplier selection for a construction project. 75 - Abdelhameed A. A. Zayed, Edric John Cruz Nacpil, Ahmed Fouly, Ali I. Siam:
A singular value decomposition and deep learning-based approach for gearbox fault detection with noisy data. 76 - Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro:
Fast and interpretable time series forecasting using long short-term cognitive networks. 77 - Ioannis E. Livieris, Niki Kiriakidou, Christos Diou:
Causal-siamese: similarity-based treatment effect estimation with limited data. 78 - Paluck Arora, Rajesh Mehta:
DSAF-Net: a dual-stage attention-based framework for chest X-ray lung segmentation. 79 - N. R. Nagarajan, M. Maheswari:
Intensified UFMC transmitter networks: reconfigurable multiplexing system and deep CNN-BiLSTM with attention mechanism based classification. 80 - Stanley Ziweritin, Abirami Gunasekaran, Shamaila Iram, Minsi Chen:
Dissecting deep models: removal and zeroing-based explanation (RZE) techniques. 81 - Wentao Yu, Sanmin Liu, Subin Huang, Ping Zhang, Jian Zhu, Liwei Ye, Huixian Li:
An online learning framework for feature-evolvable data streams with label scarcity. 82 - Parul Chauhan, Anjana Gupta:
The unbalanced bf2-tuple intuitionistic fuzzy linguistic numbers and aggregation operators. 83 - Bin Sun:
An evolving fire prediction framework for urban building clusters with self-adaptive optimization and GIS integration. 84 - Jiyong Zhang, Bo Wang, Si Si:
LRNet: a lightweight and robust network for instance lane detection. 85 - Amlan Raychaudhuri, Satyabrata Maity, Amlan Chakrabarti, Debotosh Bhattacharjee:
3D-LiteNet: A Lightweight Vision-based Deep Learning Approach for Fall Detection in Smart Healthcare. 86 - G. Pooja, P. Hariharan, N. Sasikaladevi, Geetha Krishnan, Rengarajan Amirtharajan:
Next-gen colorectal cancer diagnosis using depthwise separable convolution in histopathology image analysis. 87 - Atia Akram, Asma Ahmad Farhan, Amna Basharat:
Federated Active User Participation (FAUP). 88 - Thanh-Phuong Nguyen:
A deterioration classification framework for insulators using metaheuristic optimization and hybrid machine learning. 89 - Peyman Arebi, Caihong Wu, Guifen Wu, Jihua Liu:
Population-based metaheuristic approach to increase the efficiency of controllability processes on temporal networks using Parallel Temporal Max-Min Ant System. 90 - Huangshui Hu, Yu Cao, Fu Jun Wang, Xing Shuo Qi:
MPA-Net: a multiscale and permute attention network for occlusion and pose robust facial expression recognition in the wild. 91 - Vijay Kumar Kambhampati, K. B. V. Brahma Rao:
Scalable, interpretable, and privacy-preserving feature engineering for federated learning. 92 - Dunhuang Shi, Tao Zhang, Yuntao Duan, Lei Sun:
Time-frequency hybrid decomposition for multivariate time series anomaly detection. 93 - Dikshit Chauhan, Nitin Gupta, Anupam Yadav:
An explainable reconfiguration-based artificial electric field algorithm for industrial and reliability-redundancy allocation problems. 94 - Mohammad Shameem, Mohammad Nadeem, Mahmood Niazi, Sajjad Mahmood:
Unveiling Harris Hawk Optimization based cost-effective prediction model for scaling agile project success based on client-vendor perspectives. 95 - Sourav Das, Debjani Chakraborty, Pabitra Mitra:
MTRBO: multiple trust-region based Bayesian optimization. 96 - A. Baranidharan, P. Velmurugadass:
A secure IoT-based healthcare monitoring system using sand cat optimized ECC with blockchain and optimized Bi-GRU for disease prediction. 97
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last updated on 2026-08-29 00:18 CEST by the dblp team
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