IoT and Machine Learning for Smart Applications

Machine Learning in Farm Animal Behavior using Python

Information Technology in Fisheries and Aquaculture

Supervised Learning

Mathematical Foundations and Real-world Applications

Advances of Machine Learning for Knowledge Mining in Electronic Health Records

Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024)

Volume 2

Deep Learning for Engineers

Machine Learning and Deep Learning in Neuroimaging Data Analysis

Machine Learning in Healthcare and Security

Advances, Obstacles, and Solutions

Machine Learning for Mobile Communications

Internet of Things enabled Machine Learning for Biomedical Applications

Data Analytics and Machine Learning for Integrated Corridor Management

Machine Learning Hybridization and Optimization for Intelligent Applications

Statistical Prediction and Machine Learning

Intelligent Quantum Information Processing

Cognitive Machine Intelligence

Applications, Challenges, and Related Technologies

Deep Learning Concepts in Operations Research

Deep Learning in Engineering, Energy and Finance

Principals and Applications

Mathematical Engineering of Deep Learning

Introduction to Classifier Performance Analysis with R

Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering

Deep Learning Applications in Operations Research

Multi-Criteria Decision-Making and Optimum Design with Machine Learning

A Practical Guide

Smart Agriculture

Harnessing Machine Learning for Crop Management

Scanning Technologies for Autonomous Systems

IoT and AI in Agriculture

Smart Automation Systems for increasing Agricultural Productivity to Achieve SDGs and Society 5.0

Advances and Challenges in Advanced Unmanned Aerial Systems

Selected Contributions of ICAUAS 2023

Transforming Technologies in Smart Agriculture

New Applications During the Past Decade

IoT/AI Control of VRF Distributed Building Air-Conditioners

Explainable and Interpretable Reinforcement Learning for Robotics

Model-Based Machine Learning

Control of Variable-Geometry Vehicle Suspensions

Design and Analysis

Advanced Optimal Control and Applications Involving Critic Intelligence

Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

Deep Learning and Its Applications for Vehicle Networks

Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques

Generative Adversarial Networks in Practice

Introduction to Intelligent Systems, Control, and Machine Learning using MATLAB

Deep Learning in Time Series Analysis