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12:30pm • A Data Science Framework for Enhanced Diabetes Prediction: Integrating Mathematical Modeling, Statistical Feature Engineering, and Machine Learning
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12:30pm • DDOS Attack Detection in Cloud Computing Using Machine Learning
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12:30pm • Hyper-Localized Tax Optimization Using AI/ML: A Novel Approach
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12:30pm • Experimental Evaluation of Information Leakage via Electromagnetic Emanation Using Channel Capacity
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12:30pm • Oblivious Transfer and Anonymous Password-Based Authenticated Key Exchange using PUF
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12:30pm • Comprehensive Analysis of ICT-Based Learning Management Systems: Best Practices for Enhancing Digital Learning Experiences
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12:30pm • Hybrid AI-Driven Optimization for Transformer Power Systems: Multi-Agent Reinforcement Learning and Anomaly Detection
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2:00pm • GenAI-Driven Portfolio Review System: Leveraging AI for Smarter Investment Decision
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2:00pm • Mindful or Distracted? Understanding Student Mobile Behavior through Digital Phenotyping
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2:00pm • CFD-Based Blood Flow Simulation in Microfluidic Device
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2:00pm • Flight Price Forecasting Employing Machine Learning Methodologies
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2:00pm • Automated OT Sterilization using UV Radiation and Hydrogen Peroxide Vapor
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2:00pm • Knee Osteoarthritis Stage Analysis using Convolutional Neural Networks
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2:00pm • A Review on Mobile Forensic Needs, Challenges, Approaches, Process Model, Tools and Standard
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3:30pm • Automated Laryngoscope using AI Image Detection
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3:30pm • A Comprehensive Speaker Diarization System Utilizing Pyannote audio for Segmentation, ECAPA-TDNN for Embedding, and SA-EEND for Speaker Assignment
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3:30pm • Performance Analysis of Different Dimensionality Reduction Techniques in Classification of Cancer
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3:30pm • Bridging Linguistic Scripts: A Comprehensive Survey of Transliteration Techniques Across Languages
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3:30pm • Availability Evaluation and Performance Analysis of Steam Generating System in Thermal power plant Through RAMD Approach
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3:30pm • Title: Advances, Challenges, and Future Directions of Deep Convolutional Neural Networks in Medical Imaging: A Systematic Review
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3:30pm • COMPARATIVE ANALYSIS OF RAINFALL USING MACHINE LEARNING AND DEEP LEARNING
