Development Properties And Industrial Applications Of 3d Printed Polymer Composites
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Development, Properties, and Industrial Applications of 3D Printed Polymer Composites
Polymer composite materials are of prime importance and play a vital role in numerous applications. 3D printed polymer composites have been adopted by the aerospace, medical, and automobile industries. However, many challenges and opportunities for the development and application of 3D printed polymer composites have yet to be covered. Development, Properties, and Industrial Applications of 3D Printed Polymer Composites concentrates on cutting-edge technologies and materials as well as processing methods and industrial applications. It further discusses case studies, process issues, challenges, and more. Covering topics such as additive manufacturing, medical engineering, and fused deposition modeling, this premier reference source is essential for manufacturers, engineers, business leaders and executives, hospital administrators, students and faculty of higher education, librarians, researchers, and academicians.
Technological Advancements in Data Processing for Next Generation Intelligent Systems
Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.
Multidisciplinary Applications of AI Robotics and Autonomous Systems
As society transitions into the digital age, the demand for advanced robotics and autonomous systems has remained unchanged. However, the field faces significant challenges bridging the gap between current capabilities and the potential for brilliant, autonomous machines. While exact and efficient, current robotic systems need more sophistication and adaptability of human intelligence. This limitation restricts their application in complex and dynamic environments, hindering their ability to realize their potential fully. Multidisciplinary Applications of AI Robotics and Autonomous Systems addresses these challenges by presenting cutting-edge research and innovative robotics and autonomous systems solutions. By exploring topics such as digital transformation, IoT, AI, and cloud-native computing paradigms, readers will understand the latest advancements in the field. The book delves into theoretical frameworks, computational models, and experimental approaches, offering insights to help researchers and practitioners develop more intelligent and autonomous machines.