Description
Book Synopsis.- Artificial Intelligence & Machine Learning.
.- Enhanced Locomotive Delay Prediction Using Machine Learning with Modified Z-Score and Lasso Regression.
.- Hybrid Deep Learning Models for Real-Time Melanoma Classification Using Mobile Imaging.
.- Geometrically Innovated Machine Learning for Optimized Prediction of Rice Blast Disease.
.- An Optimized Hybrid Deep Learning Framework For Intrusion Detection System Integration.
.- Efficient Palm Print Identification Using Various Machine Learning Approaches.
.- Diabetes Prediction using Convolutional Neural Networks and Long Short Term Memory Techniques.
.- Image Classification and Detection of Artificial Images using CNN Models.
.- Mutual Information-Driven Ant Lion Optimizer for Enhanced Feature Selection in Colorectal Cancer Detection.
.- Optimized Deep Belief Network for Colorectal Cancer Detection Using Hybrid PIO-DE Algorithm.
.- Advanced Lung Image Enhancement Using Dynamic Dual-Histogram Gamma Correction.
.- Anthology Of ML Based Data Science Applications.
.- MACHINE LEARNING APPROCHES FOR THE PREDICTION OF DIABETES.
.- MACHINE LEARNING APPROACHES FOR LUNG CANCER PREDICTION.
.- Exploring Advanced Ensemble Learning Strategies in Machine Learning and Data Mining for Predictive Modeling of Marathon Running Time.
.- Performance comparative analysis of recurrent neural network for osteoporosis disease prediction.
.- Image Splicing Detection: A Deep Learning based Approach.
.- Artificial Intelligence-Driven Insights into the Indian Mutual Fund Industry: A Pre and Post-COVID Comparative Study.
.- Evaluating the Evaluation of India’s Mutual Fund Industry: Ways to Enhance by AI.
.- Transformative Influence: AI's Application in Improving Risk Prevention and Management in Banking Institutions.
.- Exploratory Data Analysis for online Advertisement CTR prediction using Machine Learning.
.- Fake News Classification using Feature based hybrid Deep Learning.
.- Performance Evaluation of Deep Learning Models for the Classification of Lung Diseases in X-Ray Images.
.- Advanced Predictive Analytics for Early Detection of Chronic Kidney Disease using ML Models.
.- Enhanced Prediction of Chronic Kidney Disease Using K-Nearest Neighbors with Various Pre-processing Techniques.
.- Heart Disease Prediction using Logistic Regression with PCA-MFSA Feature Extraction Technique and Multidimensional Scaling (MDS) Pre-Processing Approach.
.- Deep Learning Approaches for Diabetic Retinopathy- A Study.
.- Detection of Optical problem in retinal Fundus images using AI Based deep learning method.
.- Deep Learning-Based Risk Stratification for Chronic Kidney Disease Patients.
.- Enhanced Feature Selection for Chronic Kidney Disease Detection: A Hybrid Integration of Simulated Annealing and Recursive Feature Elimination.
.- A Survey on Artificial Intelligence Models for Endometrial Tumor Detection, Classification and Diagnosis.
.- Implementation of Deep Learning Approaches for Defect Detection in Ceramic Tiles.
