This book compiles the research papers presented at the VI International Conference on Smart Technologies and Systems (CI3 2025), held on September 18 and 19, 2025, at the Oro Verde Hotel in Cuenca, Ecuador.
The International Conference on Smart Technologies & Education (STE) brings together a global community of researchers, educators, and innovators at the intersection of emerging technologies and engineering education.
This edited book focuses on the application of AI and data analytics within medical imaging with contributions focussing on general radiography, cross-sectional imaging, and breast imaging.
This edited book focuses on the application of AI and data analytics within medical imaging with contributions focussing on general radiography, cross-sectional imaging, and breast imaging.
The objective of this publication AI Modernisation Techniques for Contemporary Trends is to offer a comprehensive and practical framework for engineers, technicians, and individuals interested in converting conventional electromechanical systems into intelligent, interconnected, and efficient smart systems.
The objective of this publication AI Modernisation Techniques for Contemporary Trends is to offer a comprehensive and practical framework for engineers, technicians, and individuals interested in converting conventional electromechanical systems into intelligent, interconnected, and efficient smart systems.
Time-frequency analysis is critical in biomedical signal analysis, which helps diagnose and monitor physiological conditions such as heart rate variability, seizure detection, and brain-computer interfacing.
This book gathers the proceedings of the 2nd IFToMM International Symposium on Emerging Fields in Mechanism and Machine Science (EFIMMS), which was held in Monastir, Tunisia, on April 15–17, 2026, under the patronage of the IFToMM and jointly supported by the Cross Disciplinary Groups “IFToMM Faculty Group” (YFG) “IFToMM Women’s Group” (WG) and “IFToMM Graduate Student Group” (GGG).
This book gathers the proceedings of the 2nd IFToMM International Symposium on Emerging Fields in Mechanism and Machine Science (EFIMMS), which was held in Monastir, Tunisia, on April 15–17, 2026, under the patronage of the IFToMM and jointly supported by the Cross Disciplinary Groups “IFToMM Faculty Group” (YFG) “IFToMM Women’s Group” (WG) and “IFToMM Graduate Student Group” (GGG).
The selected contributions of the 7th International Conference on Materials and Intelligent Manufacturing (2025) in Singapore gathers cutting-edge research and developments at the intersection of materials science and intelligent manufacturing technologies.
The selected contributions of the 7th International Conference on Materials and Intelligent Manufacturing (2025) in Singapore gathers cutting-edge research and developments at the intersection of materials science and intelligent manufacturing technologies.
Algorithmic Trading via AI/Machine Learning with R aims to demonstrate how algorithmic trading can empower retail traders to compete more effectively in markets long dominated by institutional giants.
Machine Learning for Medical Applications - Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators.
This book presents a collection of advanced research contributions focusing on the integration of mechatronic systems, smart grid technologies, and intelligent automation.
This book presents a collection of advanced research contributions focusing on the integration of mechatronic systems, smart grid technologies, and intelligent automation.
Natural language processing enables communication between people and computers as well as automatic translation to facilitate easy interaction with others around the world.
Guidance and Control of Unmanned Vehicles demonstrates how the developed guidance laws can be applied to a wide class of unmanned vehicles, including aerial, ground, water, and underwater vehicles.
Das Fachbuch bietet einen umfassenden Überblick über den aktuellen Stand der Technik mobiler Arbeitsmaschinen und behandelt dabei eine Vielzahl von Aspekten, die für das Verständnis und die Anwendung dieser Maschinen entscheidend sind:· Grundlagen und Aufbau· Antriebstechnik: Vorstellung der Antriebstechnik, einschließlich verschiedener Energiespeicher, Energiewandler, und Antriebssysteme wie Verbrennungsmotoren und elektrische Antriebe· Fahrwerk: Beschreibung der verschiedenen Fahrwerkstypen· Mechanische Getriebe und Hydrostatische Antriebe· Mechatronik und Automatisierung: Vorstellung der elektronischen Systeme und mechatronischen Komponenten, einschließlich Sensoren, Aktoren und Bussysteme· Arbeitsverfahren· Ergonomie und Sicherheit· Anwendungsbeispiele: Praktische Anwendungsbeispiele aus verschiedenen Sektoren wie Landwirtschaft, Bauwesen, Forstwirtschaft, Kommunaltechnik und Logistik
Das Fachbuch bietet einen umfassenden Überblick über den aktuellen Stand der Technik mobiler Arbeitsmaschinen und behandelt dabei eine Vielzahl von Aspekten, die für das Verständnis und die Anwendung dieser Maschinen entscheidend sind:· Grundlagen und Aufbau· Antriebstechnik: Vorstellung der Antriebstechnik, einschließlich verschiedener Energiespeicher, Energiewandler, und Antriebssysteme wie Verbrennungsmotoren und elektrische Antriebe· Fahrwerk: Beschreibung der verschiedenen Fahrwerkstypen· Mechanische Getriebe und Hydrostatische Antriebe· Mechatronik und Automatisierung: Vorstellung der elektronischen Systeme und mechatronischen Komponenten, einschließlich Sensoren, Aktoren und Bussysteme· Arbeitsverfahren· Ergonomie und Sicherheit· Anwendungsbeispiele: Praktische Anwendungsbeispiele aus verschiedenen Sektoren wie Landwirtschaft, Bauwesen, Forstwirtschaft, Kommunaltechnik und Logistik
This book features a collection of carefully selected papers that were presented at the 7th International Conference on Power, Energy and Mechatronics Engineering, ICPEME 2025, held in Dubai, UAE, from February 14–16, 2025.
This book features a collection of carefully selected papers that were presented at the 7th International Conference on Power, Energy and Mechatronics Engineering, ICPEME 2025, held in Dubai, UAE, from February 14–16, 2025.
Machine Learning for Medical Applications - Volume II delves into the intersection of artificial intelligence, computer vision, and healthcare, offering a comprehensive exploration of how machine learning is revolutionizing disease detection and diagnostics.
Natural language processing enables communication between people and computers as well as automatic translation to facilitate easy interaction with others around the world.
Guidance and Control of Unmanned Vehicles demonstrates how the developed guidance laws can be applied to a wide class of unmanned vehicles, including aerial, ground, water, and underwater vehicles.
Algorithmic Trading via AI/Machine Learning with R aims to demonstrate how algorithmic trading can empower retail traders to compete more effectively in markets long dominated by institutional giants.
Time-frequency analysis is critical in biomedical signal analysis, which helps diagnose and monitor physiological conditions such as heart rate variability, seizure detection, and brain-computer interfacing.
In diesem Lehrbuch werden die Grundlagen der Elektrotechnik und Elektronik mit ihren Anwendungen zur Analyse elektrotechnischer Geräte, Einrichtungen und Anlagen dargestellt.
In an age where intelligent systems are transforming engineering practice, Artificial Neural Networks for System Identification and Control offers a clear roadmap to mastering artificial intelligence (AI) driven modeling and control.
Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering.
The four novel Dynamic Event-Triggered Mechanisms (DETMs) in this book are for complex networked systems that optimize resource utilization while preserving system performance.
Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering.
The four novel Dynamic Event-Triggered Mechanisms (DETMs) in this book are for complex networked systems that optimize resource utilization while preserving system performance.
In an age where intelligent systems are transforming engineering practice, Artificial Neural Networks for System Identification and Control offers a clear roadmap to mastering artificial intelligence (AI) driven modeling and control.
