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This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as artificial intelligence, Internet of Things, intelligent systems, and mobile networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.
List of contents
1.ML Optimized Reconfigurable Intelligent Surfaces for Efficient Wireless Energy Transmission in NOMA Systems.- 2.IEP-WOCD: An Improved Whale Optimization Algorithm for Community Detection with Enhanced Population Diversity.- 3.SSFAM: Applying Shallow-Level Attention Weights to Deep-Level Features in Breast Cancer Instance Segmentation.- 4.RTFDD: A Robust Two-Stage Framework For Web Defacement Detection.- 5.Accuracy-Improved Phase-System Using Regularized Linear-Fractional Programming and Bisection Search.- 6.IDE: A Differential Evolution-Based Algorithm for Summarizing Multiple Vietnamese Comments.- 7.An effective method for UAV LiDAR point cloud data segmentation using SAL.- 8.High-Precision Tomato Segmentation Using Lightweight Convolutional Architectures.- 9.EBi-RRT: An Enhanced Bidirectional RRT via Target-biased Sampling.- 10.Classification of Facial Emotion of Students in Activities Using Deep Neural Networks.- 11.Characterization of nuisance odors in a veterinary clinic using machine learning.- 12.AI-Driven IoT Wearable Devices for Remote Patient Monitoring.- 13.QMAODV: A Q-Learning-Based Multipath Routing Protocol for UAV-Enabled Ad Hoc IoT Networks.- 14.Ensemble Machine Learning-Based Test Smell Prediction.- 15.Dynamic mobility management in fog computing architecture for IoT applications.- 16.FedFace: A Privacy-Preserving Self-Supervised Multi-Task Federated Face Recognition System.- 17.Performance of Modified Fractional Frequency Reuse Algorithm in Random Ultra Dense Networks.- 18.Toward robust potato leaf disease identification: Optimizing performance via comparative feature selection.- 19.Environmental Performance of UAV Deployment in Rice-Based Agroecosystems: A Systematic Review.- 20.Lightweight CNN-Based Semantic Communication for Image Analysis.- 21.Spectral Clustering for User-Item Graph Partitioning in Recommendation Systems.- 22.Evaluating Sub-THz Hardware Impairments on 6G Waveforms using various Modulation Techniques.- 23.Hybrid CBLANet: an Efficient Framework for Stock Price Prediction.- 24.Performance Evaluation of Tracking Filters for UAV Positioning using 5G Signals in Urban Air Mobility Environments.- 25.A Hybrid Autoencoder-Machine Learning Approach for Improved Orange Quality Assessment.- 26.A Comparative Analysis of Clustering Algorithms for Speaker Diarization.- 27.Reducing Real-World Sampling Time by Using Generative AI Agents for Synthesizing Data in IoT Anomaly Detection.
Summary
This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as artificial intelligence, Internet of Things, intelligent systems, and mobile networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.
