Description
Book Synopsis.- Artificial Intelligence & Machine Learning.
.- Enhancing Music Recommendation Systems: A Hybrid CNN-LSTM Approach for Personalized and Precise Recommendations.
.- Detecting Emotions of MEMEs Using a Hybrid approachof Deep Learning.
.- Parkinson's Disease Detection Using Advanced Wave Signal Processing on Spiral Drawing Tests.
.- Vehicle Density Estimation Using Improved Yolov8 Object Detection Model With Kernel Density Estimation.
.- EmpowerSpeak:"ABreakthrough Model for Speech Synthesis fromVideos for theDifferently Abled".
.- Feature Extraction and Machine Learning Based Predictive Models for Heart Diseases Prediction: Analyzing the Effectiveness of Multiple Models.
.- Machine Learning Models and FOREX Analysis: A Comparison with Hybrid Models to Predict the Next Day Exchange Rate.
.- COMMODITY IDENTIFICATION USING DEEP LEARNING IN SMART SHOPPPING SYSTEM.
.- Prediction of Retinal Diseases using Image Processing Techniques and Convolutional Neural Networks.
.- ORB-SIFT Hybrid Feature Extraction: A Unified Feature Extraction Approach.
.- Bibliometric Analysis of Educational Data Mining.
.- Predictive Modeling of Chronic Kidney Disease with Ensemble Algorithms.
.- Advanced Lung Image Enhancement Using Dynamic Dual-Histogram Gamma Correction.
.- Elite Opposition Learning based Transfer Residual Neural Network (EOL-TRNN) Classifier for Lung Diseases from Chest X-Ray (CXR).
.- Enhancing Railway Network Efficiency with Deep Learning-Based Traffic Prediction Models.
.- Data under Siege Advanced AI Techniques to Combat Cyber Attacks in Data Infrastructure.
.- Scalable Intrusion Detection Using Recurrent Neural Networks in Distributed Data Engineering Systems.
.- Dynamic Crop Recommendation Systems Using Reinforcement Learning and Real-Time Sensor Data.
.- Butterfly Optimization Algorithm (BOA) based FeatureSelection and Semen Quality Predictive Model.
.- Enhancing Medicinal Plant Identification with Deep Learning: A Data-Centric Approach.
.- Understanding Unnatural Mortality: A Comprehensive Analysis of Machine Learning Approach for Classification of Causes.
.- Thorough analysis of principal challenges in opinion mining and sentiment analysis, unraveling prevailing trends and techniques through a systematic review.
.- Time Series-Based Analysis of Energy Consumption: Forecasting and Anomaly Detection using LSTM and Isolation Forest.
.- Steganography in the Digital Age: An In-Depth Review of Techniques.
.- Advancement and Applications in Biometric Techniques: A Comprehensive Study.
.- Securing E-Commerce: A Comprehensive Analysis of Fraud Detection Methods.
.- An IoT and Data Mining-Based Tool for Early Identification of Speech Disorders in Children Using Advanced Algorithms.
.- Change detection using Machine Learning Algorithms in Google Earth Engine Environment Bharatpur District of the Rajasthan State.
.- Human Pose Estimation using Machine Learning.
.- Multi-dimensional Spatiotemporal Sparse-representation Convolutional Long Short-Term Memory for Prediction of Autism Spectrum Disorder.
