Description
Book Synopsis.- Artificial Intelligence & Machine Learning.
.- Deep Learning Methodologies for Segmentation and Classification of Cutaneous Malignancies Utilizing Capsule Networks.
.- Prediction of Anti-Cholinesterase drug for Alzheimer disease using Machine Learning Techniques.
.- Scrutinize Search Engine Optimization strategies with Artificial Intelligence to Rank a website.
.- A STUDY ON MACHINE LEARNING ALGORITHMS: FORECASTING CROP PRICES.
.- Improving Student Stress Analysis: Novel Methods for Collecting, Preprocessing, and Fusing Features.
.- Extraction of normal and abnormal region in Colposcopy image to support cervical cancer clinical decision.
.- Optimizing Pricing Strategies: A Comprehensive Framework Using Bayesian Inference and Game Theory.
.- Hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics.
.- A Review on Machine Learning Algorithms for Real-Time Traffic Management.
.- Hyperparameter-Tuned Intention Mining for Mental Health Diagnosis Using Logistic Regression
.- Machine Learning for Accessible and Precise Assessment in Smart Monitoring Systems.
.- An Efficient Model for Academic Performance Prediction of the University Students.
.- Comprehensive Comparative Study on Data Mining and Machine Learning Approaches for fraud Detection in Financial Services.
.- Prediction of Stock Price and Detection of Stock Market Trends using Adaptive Learning Techniques.
.- Decentralized EHR Exchange in Healthcare: Enhancing Privacy and Security with Blockchain and Cryptographic Techniques.
.- Detection and Analysis of Features of Optic Nerve Head using Retinal Fundus Images of an Eye for A priori Prediction of Glaucoma.
.- A Hybrid Deep Learning Framework for Uncertain Supply Chains: An Optimization Approach.
.- A Comprehensive Review of Machine Learning techniques in Recommender System for E-Commerce Platform.
.- Ethics of AI in the Educational Sector - Navigating the Moral Landscape.
.- Integrating Multimodal Data with Mathematical Models for Effective Fake News Classification.
.- Breast Cancer Diagnosis: A Comprehensive Evaluation of Machine Learning Techniques.
.- Applied ML Algorithms for Happiness Index Prediction of Nations.
.- An Empirical Assessment of Credit Risk of Indian Companies Using Machine Learning Algorithms.
.- An Efficient Intrusion Detection System Using Deep Learning Techniques.
.- ENGAGING CORONARY HEART DISEASE PREDICTION (VEIN) THROUGH FEATURE U-NET IMPROVEMENT WITH ENSEMBLE LEARNING BASED HYBRID BAGGING AND BOOSTING TECHNIQUES.
.- Leveraging Social Media Data to Improve Disaster Response and Recovery Efforts using Artificial Intelligence Techniques: A Comprehensive Review.
.- International Law and AI Interface.
.- Predicting Stock Price Movements with Recurrent Neural Networks: An LSTM-Based Approach.
