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ORCIDICACDS 2024: Vélizy, France
- Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser, Tuncer I. Ören, Amar Ramdane-Cherif, Ravi Tomar:
Advances in Computing and Data Sciences - 8th International Conference, ICACDS 2024, Vélizy, France, May 9-10, 2024, Revised Selected Papers. Communications in Computer and Information Science 2194, Springer 2025, ISBN 978-3-031-70905-0
Advanced Computing
- Sonu Kumar Jha
, Somaraju Suvvari, Mukesh Kumar:
Exploring the Impact of KNN and MLP Classifiers on Valence-Arousal Emotion Recognition Using EEG: An Analysis of DEAP Dataset and EEG Band Representations. 3-13 - Jitendra Kumar Seth, Ruchin Gupta, Chinmoy Chakraborty, Tushar Rastogi, Arpit Chaurasia:
A Novel Container Based Computing Environment. 14-23 - Abha Kiran Rajpoot, Hunar Sajjan Agrawal, Gaurav Agrawal, Jagendra Singh, Vipin Tyagi:
An Ensemble Deep Learning Framework for Enhancing Sentiment Analysis. 24-34 - Sabbi Vamshi Krishna, Om Jadhav, Parikshit Ardhapurkar, Manjunatha Valmiki, Sandeep Agrawal, Ramesh Bulusu, Prashant Dinde, Sanjay Wandhekar:
Performance Comparison of Julia with C and Python for Solving Computational Problems. 35-45 - Mandhar Goel, Subodh Thakur, Nishant Kumar, Nishant Gupta, Mayank Singh:
An Optimized Approach Towards Malware Detection Using Java Microservices. 46-57 - Sri Harsha Kurra, Rama Krushna Rath, S. R. Sreeja:
2DP-FHS: 2D Pareto Optimized Fog Head Selection for Multiple EEG Healthcare Data Analysis and Computations. 58-68 - Rakesh Dubey, Shruti Bharadwaj, Kumari Deepika, Akansha Singh, Anas Siddiqui, Hasir Ali, Adnan Farooqui:
Geospatial Analysis and Machine Learning for Vehicular Mobility Patterns on Indian Two-Way Roads: Leveraging Geotagged Microphone Data and Modified CNN Classifier. 69-81 - Sarika Sharma, Vipin Tyagi, Anagha Vaidya:
Security and Privacy Challenges of Metaverse in Education. 82-92 - Naim Rochmawati, Chastine Fatichah, Bilqis Amaliah, Agus Budi Raharjo, Frédéric Dumont, Emilie Thibaudeau, Cédric Dumas:
Comparative Analysis of YOLO-Based Object Detection Models for Peritoneal Carcinomatosis. 93-104
Data Sciences
- Ashish Sharma, Prashant Shuman, Mahendra Kumar Gourisaria:
Integrated Model for the Prediction of Disease and Treatment Recommendation. 107-116 - Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh:
Assessing Customer Retail Data Through the Application of Various Clustering Algorithms. 117-126 - Ankit Maithani, Garima Verma:
Unveiling a Cutting-Edge Living Style-Based Neural Network Boost Model for Early Heart Disease Prediction. 127-137 - Aviral Srivastava, Priyansh Sanghavi, Viral Parmar, Seema Rani:
Zero-Shot Learning in Cybersecurity: A Paradigm Shift in Attack and Defense Strategies. 138-149 - Marta Lilia Eraña-Díaz, Alejandra Rosales-Lagarde, Adriana Reyes-Soto, Iván Arango-de-Montis, Andrés Rodríguez-Delgado, Jairo Muñoz-Delgado:
Data Engineering for Nonverbal Expression Analysis - Case Studies of Borderline Personality Disorder. 150-169 - Bui Dang Thanh, Mac Tuan Anh, Giap Dang Khanh, Trinh Cong Dong, Nguyen Thanh Huong:
SGDR-YOLOv8: Training Method for Rice Diseases Detection Using YOLOv8. 170-180 - Plaksha, Priyanka, Anushka Ambekar, Ayushi Ukey, Arun Sharma, Karuna Kadian:
Comparative Analysis of Speech Emotion Recognition Models. 181-194 - Anagha Vaidya, Pranjal Vaidya, Sarika Sharma:
Estimating the Concrete Compressive Strength of Regression Model for Machine Learning. 195-210 - Faeze Zakaryapour Sayyad, Irida Shallari, Seyed Jalaleddin Mousavirad, Mattias O'Nils:
Model Evaluation and Selection for Robust and Efficient Advertisement Detection in Print Media. 211-224 - Shreyas Battula, Shyam Krishna Kirithivasan, Aditi Soori, Richa Ramesh, Ramamoorthy Srinath:
LatentNeuroNet: A Text-Conditioned Stable Diffusion Framework for Reconstructing Visual Stimuli from fMRI. 225-235 - Nelson Salgado Reyes:
Proposal of Indicators for the Design of an App for Teaching Learning in Children with Autism. 236-246 - Samira Bourib, Aimen Touazi:
Automatic Speaker Recognition Using Hybrid Parameters Based on Machine Learning Applied on Two Dataset. 247-258 - Ton Nguyen Trong Hien, Adisak Sangsongfa, Noppadol Amm-Dee:
Discovering Personal Data Security Issues: Insights from "Have I Been Pwned". 259-269 - Nguyen Thanh Huong, Nguyen Dang Lan, Trinh Cong Dong, Bui Dang Thanh:
An Advanced Deep Learning Detection of Rice Plant Diseases Based on Residual Neural Networks. 270-284 - Myunghee Kim, Nakhoon Baek:
An Analysis for Pre-consultations on the Korean Government-Managed Information System Projects. 285-296 - Imen Gharbi, Mohammad Hani Al-Kilani, Ajayeb Salama AbuDaabes, Walaa Saber Ismail:
Social Media Communication of Abu Dhabi HEIs Across Facebook and Twitter: A Comparative Analysis. 297-307 - Vrushali Khaladkar, Manish Kumar:
Lightweight Encryption Scheme for Bio-metric 3-Plane Image Encryption Based on $\mathscr {L}$-System Fractal and 2-D Chaotic ACM. 308-320 - Abdelhakim Dorbane, Fouzi Harrou, Ying Sun:
Detecting Faulty Steel Plates Using Machine Learning. 321-333 - Dinesh Kumar Verma, Shweta Singh, Shivendra Dubey, Kapil Raghuwanshi:
Revolutionize Infectious Prevention Using Artificial Intelligence and Deep Learning. 334-345
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