Ivan CK Tam – författare

The development of intelligent transportation systems, especially autonomous underwater vehicles, has become significant in marine engineering, with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization of autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including the study of experimental investigation combined with hydrodynamic characteristics backed by MATLAB® codes and simulation study results.

Features:

Covers utilization of machine learning techniques with a focus on marine science and ocean engineering.

Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system.

Evaluates performance of particle swarm intelligence-based optimization techniques.

Reviews propulsion performance of the remote-controlled vehicles based on machine learning techniques.

Includes MATLAB® examples and simulation study results.

This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering.

The development of intelligent transportation systems, especially autonomous underwater vehicles, has become significant in marine engineering, with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization of autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including the study of experimental investigation combined with hydrodynamic characteristics backed by MATLAB® codes and simulation study results.

Features:

Covers utilization of machine learning techniques with a focus on marine science and ocean engineering.

Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system.

Evaluates performance of particle swarm intelligence-based optimization techniques.

Reviews propulsion performance of the remote-controlled vehicles based on machine learning techniques.

Includes MATLAB® examples and simulation study results.

This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering.

The development of intelligent transportation systems, especially autonomous underwater vehicles, has become significant in marine engineering, with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization of autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including the study of experimental investigation combined with hydrodynamic characteristics backed by MATLAB® codes and simulation study results. Features: Covers utilization of machine learning techniques with a focus on marine science and ocean engineering. Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system. Evaluates performance of particle swarm intelligence-based optimization techniques. Reviews propulsion performance of the remote-controlled vehicles based on machine learning techniques. Includes MATLAB® examples and simulation study results.This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering.

The development of intelligent transportation systems, especially autonomous underwater vehicles, has become significant in marine engineering, with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization of autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including the study of experimental investigation combined with hydrodynamic characteristics backed by MATLAB® codes and simulation study results. Features: Covers utilization of machine learning techniques with a focus on marine science and ocean engineering. Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system. Evaluates performance of particle swarm intelligence-based optimization techniques. Reviews propulsion performance of the remote-controlled vehicles based on machine learning techniques. Includes MATLAB® examples and simulation study results.This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering.

This book provides an understanding of the significant applications of IoT technologies in renewable energy. It explores their integration with various renewable energy sources, including solar, wind, bioenergy, piezoelectric materials, and solutions addressing water shortage challenges, highlighting advancements and practical implementations in each area. A comparative analysis of recent techniques is presented to evaluate the efficiency of IoT based renewable energy systems. This book also focuses on the economic feasibility of IoT-enabled renewable energy solutions.Features: Addresses multiple renewable energy technologies with IoT-based monitoring and control. Explores solar, wind, and hybrid energy systems, including energy storage and microgrid integration. Investigates renewable energy microgrid systems. Focuses on climate goals and the Sustainable Development Goals. Includes discussions of marine renewable energies and offshore wind turbine generation. This book is aimed at graduate students and researchers in renewable energy engineering, IoT and embedded systems, and electrical engineering.

This book provides an understanding of the significant applications of IoT technologies in renewable energy. It explores their integration with various renewable energy sources, including solar, wind, bioenergy, piezoelectric materials, and solutions addressing water shortage challenges, highlighting advancements and practical implementations in each area. A comparative analysis of recent techniques is presented to evaluate the efficiency of IoT based renewable energy systems. This book also focuses on the economic feasibility of IoT-enabled renewable energy solutions.Features: Addresses multiple renewable energy technologies with IoT-based monitoring and control. Explores solar, wind, and hybrid energy systems, including energy storage and microgrid integration. Investigates renewable energy microgrid systems. Focuses on climate goals and the Sustainable Development Goals. Includes discussions of marine renewable energies and offshore wind turbine generation. This book is aimed at graduate students and researchers in renewable energy engineering, IoT and embedded systems, and electrical engineering.