Artificial Intelligence Based Smart and Secured Applications

.- 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. .- 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.