Mechatronics and Smart Engineering

Intelligent Computing and Machine Learning
Erscheinungsjahr 2027
ISBN: 978-981-9264-13-1
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Emerging Trends in Mechatronics

This book highlights the growing impact of artificial intelligence in addressing real-world challenges. The chapters explore topics such as wearable mechatronic sensing for ergonomic risk assessment in healthcare, mechatronic robotic phenotyping and machine learning in plant breeding, mechatronic sensor networks for air quality prediction, hybrid metaheuristic optimization for cloud-connected mechatronic and cyber-physical task scheduling, mechatronic sensor-driven anomaly detection for carbon credit fraud, sentiment analysis for mechatronic human–machine interaction, and mechatronic, automation-ready drug discovery. Although these contributions span diverse disciplines, they share a common focus on applying intelligent computing to the sensing, decision-making, and optimization problems that increasingly define modern mechatronic and engineering systems.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Agrawal, Akshat

Azizi, Aydin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Inhaltsverzeichnis

CWearable Mechatronic Sensing for AI-Driven Ergonomic Risk Assessment in Healthcare Workplaces.- Machine Learning and Mechatronic Robotic Phenotyping in Plant Breeding: A Systematic Review and Topic Modeling Analysis of Research Trends.- Mechatronic Sensor Networks and Intelligent Classification for Urban Air Quality Prediction.- Hybrid GA-PSO Optimization for Task Scheduling in Cloud-Connected Mechatronic and Cyber-Physical Systems.- Mechatronic Sensor Data and Intelligent Anomaly Detection in Carbon Credit Trading Markets.- Aspect-Based Sentiment Analysis for Mechatronic Human-Machine Interaction and Opinion Mining.- Pharmacophore-Driven QSAR Modelling for Mechatronic, Automation-Ready Drug Discovery.

Über Autor(innen)

Dr. Akshat Agrawal obtained his Ph.D. from GGSIPU, Delhi. He is currently working as Associate Professor at computer science and engineering, JK Lakshmipat University, Jaipur. His primary research interests include artificial intelligence, deep learning, artificial neural networks, speech processing, and image processing.

Dr. Aydin Azizi  holds a Ph.D. in mechanical engineering–mechatronics, an M.Sc. in mechatronics, and a B.Sc. in mechanical engineering. Certified as Fellow of the Higher Education Academy, Official Instructor for the Siemens Mechatronic Certification Program (SMSCP), and Editor-in-Chief of the book series Emerging Trends in Mechatronics published by Springer Nature Group, he currently serves as Senior Lecturer and Academic Partnership Liaison Manager at Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems, with expertise in control and automation, AI, and simulation techniques.