Proceedings of International Conference on Information Technology and Intelligence

Dr. Harish Sharma is an Associate professor at Rajasthan Technical University, Kota in the Department of Computer Science & Engineering since 2014. He has worked as an Assistant professor at Govt. Engg. College Jhalawar and Vardhman Mahaveer Open University Kota India. He is the secretary and one of the founder members of the Soft Computing Research Society of India. He is a lifetime member of the Cryptology Research Society of India, ISI, Kolkata. He has contributed to more than 125 papers published in various international journals and conferences. He has been listed among the world’s 2% top scientists in 2020 and 2021. He has completed 8 DST-SERB and AICTE-TEQIP-funded projects and has published 02 patents. He is the series editor of springer book series “Studies in Smart Technologies”. He is an Associate Editor of “The International Journal of Swarm Intelligence (IJSI)” published by Inderscience. He has also edited many special issues of the reputed journals. His primary area of interest is nature-inspired optimization techniques.Dr. Antorweep Chakravorty is an Associate Professor at the University of Stavanger. His current research and development work is in the field of applied Blockchains, Big Data, Large Scale Machine Learning, and Data Privacy. He has an interest in real-world problems, especially development of privacy enabled data-driven services in smart energy, healthcare, and smart city domains. Antorweep completed his PhD. in 2015 with a thesis on Privacy Preserving Big Data Analytics at the University of Stavanger, Norway. Along with having a background in applied research in data-driven solutions, he is also involved in mentoring, teaching and supervision.

• Chapter 1: Hybrid Support Vector Machine Model with Harris Hawks Optimization is a Successive Tool for Flood Prediction: A Case Study.- Chapter 2:Enhancing Location Privacy through Context-Aware Multiple Plausible Trajectories.- Chapter 3:Enhancement of Brain Tumor MR Images with a Fusion.-  of Unsharp Masking and CLAHE for Segmentation using a Modified U-Net Model.- Chapter 4:Ocular Disease Diagnosis using ConvolutionalNeural Networks Optimized by Genetic Particle Swarm Optimization.- Chapter 5:Multimodal PCOS Identification using XGBoost and VGG19 of CNN.- Chapter 6:Optimizing the Performance of Naïve Bayesian Classification using RELSUn, a Bi-Stage Feature Selection Algorithm.- Chapter 7:Real-Time State-of-Charge (SOC) Prediction and Battery Optimisation with ML Algorithms.- Chapter 8:The Smart Detection of Ovarian Cancer in Complex Medical Images using Deep Learning.- Chapter 9:Optimized Agricultural Plant Classification by Leaves using VGG-19 and VGG-16 Convolutional Neural Networks.- Chapter 10:HopeWVBL: Improving Automatic Hope Speech Detection using Word Embedding and Bidirectional LSTM.- Chapter 11:Rice Crop Disease Classification using Fourier Transform.- Chapter 12:A Novel Approach for Identification of Information Defamation using Sarcasm Features.- Chapter 13:Enhancing Image Quality in Medical Imaging and Satellite Imagery using SRCNN.- Chapter 14:A Comprehensive Survey on Advancements in Machine Learning for Enhancing Network Attack Detection.- Chapter 15:A Temporal and Spatial Analysis of Seasonal Normalized Difference Vegetation Index of Varanasi District (India) using Google Earth Engine.- Chapter 16:Integrating Simple Temporal Attention for Improved Video Summarization.- Chapter 17:Lie Detection using Facial Expressions and Speech Analysis.- Chapter 18:Fine-Tuning LLMs for Risk Assessment in Indian Employment Contracts.- Chapter 19:Improved Data Analytics using Deep Learning Algorithm in Internet of Things for Crop Yield Prediction.- Chapter 20:Enhanced Obstructive Sleep Apnea Management using Deep Radial Basis Function for Accurate Prediction and Efficient Data Processing for Internet of Things.- Chapter 21:Cloud ERP vs. On-Premise SAP: A Comparative Study of Efficiency and Scalability in Large Enterprises.- Chapter 22:Enhancing Classification of Imbalanced Data using Diffusion Process.- Chapter 23:Rider Re-Route Suggestions using Demand Forecasting Based on Passenger Routes.- Chapter 24:Integrating AI with SAP: A New Frontier for Predictive Analytics in Enterprise Resource Planning (ERP).