Proceedings of International Conference on Information Technology and Intelligence by Sharma, Harish; Chakravorty, Antorweep;

Hosszú leírás:

This book features selected papers from the International Conference on Information Technology and Intelligence (ITI 2024), organized by Dr. B. R. Ambedkar Institute of Technology, Andaman and Nicobar, India, during October 2024. The book is a collection of the state-of-the art research work in the cutting-edge technologies. This would provide an opportunity to gather scientific research work related to the artificial intelligence, data science and applications, cybersecurity, internet of things (IOT), cloud computing, information retrieval and knowledge management.

Tartalomjegyzék:

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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).