Proceedings of International Conference on Generative AI, Cryptography and Predictive Analytics ICGCPA 2024

The book presents the proceedings of the International Conference on Generative AI, Cryptography and Predictive Analytics (ICGCPA 2024), held at VIPS-TC, School of Engineering and Technology, Pitampura, Delhi, India, during June 28 – 29, 2024. It covers Generative AI's role in problem-solving, examining applications in image synthesis, content creation, healthcare, and optimization challenges. This book is a valuable resource for postgraduate students in various engineering disciplines.

T5 Generator: An Aspect Based Analysis of Sentiments.- A Comprehensive Study to Predicting Unethical Activity in Videos through Deep Learning Techniques.- An IoT based Prototype for Water Quality Monitoring and Leak Detection (WQM-LD) Using Ensemble Voting Feature Selection Approach.- An Efficient approach towards heart disease using Machine Learning.- Vision based classification of human activities using 2D CNN and bidirectional LSTM.- Virtual Personal Assistant System Based on Speech Recognition Technology.- Enhanced Techniques for Feature Extraction to Improve Facial Expression Recognition.- Interpretable Drug Interaction Forecasting: Leveraging Graph Neural Networks with Explainable Artificial Intelligence.- An Innovative WGM-Segmented Dielectric Resonator-Based Mm-Wave All-Round Antenna.- Computer Auditory Imagination: A Multi-Model Approach for Audio to Video Synthesis.- Space-IoT using Unlimited lifetime 1U CubeSat-integrated Very High Stiffness and small size Fully Metallic Antenna.- Introducing AI Code Generators In Agile Software Testing.- Improving Machine Learning Models and Neural Network Performance in IoT Systems Using Gradient Descent Methods.- Lightweight Cryptography: Integrating Feedback DNA with the AES Algorithm for Enhanced Security.- Detection, Prevention and Mitigation of Cross Site Scripting Attacks.- Analysis of Hybrid Satellite Cooperative Communication Systems for SISO and MISO.- A Fine-Tuned EfficientNet B1 Framework for Multiclass Skin Cancer Classification.- Effective Strategies for Addressing Class Imbalance in identifying spam on Twitter.- Enhancing Travel Planning Through Data Visualization and Machine Learning.- Utilizing supervised machine learning techniques for predicting the loan approval status of bank customers.- A CNN framework for COVID identification using Radiographic Images.- Handwritten text recognition using Region Proposal Network (RPN).- Uncertainty-Aware Molecular Property Prediction using Heterogeneous Molecular Graph Neural Networks.- Bridging the Gap - A Multimodal Communication System using Deep Learning.- Driver Alertness Monitoring Through Eye Blinking Patterns.- Alpha Blending Based Adaptive Color Image Watermarking Technique.

Prof. Deepali Virmani is professor and HOD B.Tech Programmes at Vivekananda Institute of Professional Studies-Technical Campus, affiliated to GGSIPU, New Delhi. Dr. Deepali Virmani has received her Ph.D Computer Science from Delhi University and M.Tech. degree in Information Technology, from GGSIPU, and B.Tech. degree in Computer Science from MDU, India. She has an innovative work experience of more than 22 years in both research and academics. She has published more than 120 research papers in international journals/National journals/International conferences of repute (SCIE/ESCI/SCOPUS). She works in a multi-disciplinary environment involving sensor networks, web intelligence, data mining and intelligent information retrievSal systems and machine learning applied to various real-world problems. Dr. Virmani has more than 2400 academic citations index as per Google Scholar with H index 17. She has guided more than 70 B.Tech Projects. Presently, she is guiding many Ph.D. scholars registered with reputed universities like GGSIPU, Galgotias and UPTU. She has organized 3 AICTE sponsored International Conferences with proceedings in Springer LNNS series and ESCI Taylor and Francis Journal as a convenor. She is the associate editor of journal Open Computer Science De Grutyer and also on the reviewer board of various IEEE transactions, Elsevier and Springer journals. She has organized many professional activities like FDPs (20), workshops, expert lectures, seminars (100+) in her tenure as Head of the Department of CSE at Bhagwan Parshuram Institute of Technology, New Delhi. She has been the session chair in National/International conferences. Her papers have won Best Paper Award at various International Conferences. She has won Best Researcher Award and Best Faculty Award at BPIT. She has been awarded Excellence in Research Award by International Research Awards on New Science Inventions, Best Head of the Department Award by ULA, Excellence in Research by Global Research Foundation She has also served as a convenor of Optical Communication Committee for GGS Indraprastha University (IPU) B.Tech syllabus designing committee. 5 Innovative patents, patent number 2020102338, 2020102618, 2020102631, 2020103341, 2020103768, designed by her have been granted by Australian Government. She has also published 7 national patents with Intellectual property rights, India.

Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation “Soft Computing and Fractal Theory for Intelligent and Manufacturing”). He is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. In addition, he is serving as Research Director of Computer Science and head of the research group on Hybrid Fuzzy Intelligent Systems. Currently, he is President of HAFSA (Hispanic American Fuzzy Systems Association) and Past President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). He also belongs to the Technical Committee on Fuzzy Systems of IEEE and to the Task Force on “Extensions to Type-1 Fuzzy Systems”. He is also a member of NAFIPS, IFSA and IEEE. He belongs to the Mexican Research System (SNI Level 3). His research interests are in Type-2 Fuzzy Logic, Fuzzy Control, Neuro-Fuzzy and Genetic-Fuzzy hybrid approaches. He has published over 300 journal papers, 10 authored books, 60 edited books, 300 papers in conference proceedings, and more than 300 chapters in edited books, in total more than 1080 publications (according to Scopus) with h index of 88 and more than 26000 citations according to Google Scholar. He has been Guest Editor of several successful Special Issues in the past, like in the following journals: Applied Soft Computing, Intelligent Systems, Information Sciences, Soft Computing, Non-Linear Studies, Fuzzy Sets and Systems, JAMRIS and Engineering Letters. He is currently Associate Editor of the Information Sciences Journal, Journal of Engineering Applications on Artificial Intelligence, International Journal of Fuzzy Systems, Journal of Complex Intelligent Systems, Granular Computing Journal and Intelligent Systems Journal (Wiley). He was Associate Editor of Journal of Applied Soft Computing and IEEE Transactions on Fuzzy Systems. He has been elected IFSA Fellow in 2015 and MICAI Fellow in 2016. Finally, he recently received the Recognition as Highly Cited Researcher in 2017 and 2018 by Clarivate Analytics and Web of Science.

Valentina Emilia Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more t