Description
Book SynopsisMachine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Mapping Study.- A comprehensive study on Artificial Intelligence of Things Optimization Approaches.- Fault Prediction in IoT Applications Using Federated Learning Based on Local Differential Privacy.- Deep Reinforcement Learning-Based Resource Allocation for the Internet of Vehicles: a Systematic Mapping Study.- Clustering using Markov Blanket Approximation to analyze agricultural data in an IoT environment.- GreenGrowth: Smart Irrigation and Data-driven Crop Management framework for Sustainable Agriculture .- Automated Weed Detection in Agriculture: A Performance Evaluation of YOLOv8 and InceptionV3 Models.- Deep Learning for prediction of leaks in oil and gas pipelines.- FNN-LSTM Model for Remaining Useful Life.- An intelligent approach to predicting of heart problems.- Enhancing Breast Tumour Classification using Ensemble Methods and Voting Systems.- Skin-VGG16: A Multimodal-based Approach for Skin Cancer Classification.- Recent Advances in Hair Removal in Dermoscopy Images Using Deep Learning Learning.- Swarm Intelligence Algorithms in Traffic Signal Control: A Critical Review of Particle Swarm, Bee Colony, and Ant Colony Approaches.- Addressing Data Heterogeneity in Federated Learning: The FedWAQ Approach to Weighted Aggregation Based on Data Quality.
