Description
Book Synopsis.- UKRAG: a Unified Knowledge Graph to Enhance Retrieval Augmented Generation Performance.
.- Heart Disease Analysis and Prediction with Machine Learning Techniques using Cleveland Dataset.
.- Using LLMs to Enhance Research Output Tracking in Weakly Categorized Research Areas: A Case Study to Classify Publications in Islamic Economics, Finance, Banking and Business.
.- Evaluating AI-Generated Video Quality: A Novel Assessment Model.
.- A Non-blind Audio Watermarking in 3D Mesh Models using Daubechies Wavelet Technique.
.- Assessing the Impact of Data Augmentation Techniques on YOLO's Performance in PV Anomaly Detection.
.- Studying Factors Affecting Attitudes on Artificial Intelligence Voice Assistants in the United Arab Emirates.
.- Conceptualizing a Generative AI-based Solution for Emotional Intelligence Interventions: Application to Education and Training.
.- Dental Caries Segmentation from orthopantomograms using optimized DeepLabV3+.
.- Convolutional Neural Networks for the Classification of Comet Assay Cells.
.- AI Driven Carbon Emission Estimation and Forecasting with Recommended Solution.
.- Leveraging Deep Learning for Accurate Classification of Leptograpsus Crabs Based on Morphological Measurements.
.- Heart Disease Prediction Using Machine Learning.
.- Development and Implementation of a Learning Management System with Data Analytics for Enhanced Online Education.
.- VidLyze: Video Content Toxicity Identification Tool using Natural Language Processing (NLP) and Machine Learning.
.- Comprehensive Evaluation of GAN Architectures for Acute Lymphoblastic Leukemia Classification
.- A Novel Classification of Authentication Schemes for Internet of Drones.
.- CarbonMetric: An Intelligent System for Calculating and Reducing Carbon Footprints in Urban Environments.
.- Evaluating Adan vs. Adam: An Analysis of Optimizer Performance in Deep Learning.
.- Quality assessment of fundus images for further classification: lesson from thesis.
.- Empowering Students: Leveraging No-Code and Training models with Google Machine Learning for Accessible App Development.
.- A Comprehensive Review of Intrusion Detection Systems in the IoT Landscape.
.- Evaluation of Machine learning algorithm and SMOTE for Insider Threat Detection.
.- Redefining Mobility Management for Improved Handover Efficiency in Internet-Connected Vehicles.
.- Enhancing Course Performance Reports: Leveraging ChatGPT for Comprehensive Data Analysis.
