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In the modern era of research, the significance of transdisciplinary and multidisciplinary approaches in enhancing higher education learning outcomes cannot be overlooked. These approaches break down traditional academic silos, fostering a more holistic and interconnected understanding of complex problems. By integrating diverse perspectives and methodologies, they promote critical thinking, creativity, and innovation among students. Educators and institutions must embrace and implement transdisciplinary teaching and technological integration to prepare students for the demands of the future and drive meaningful advancements in education. Transdisciplinary Teaching and Technological Integrat...
In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural d...
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Entrepreneurship and Green Finance Practices focuses on critical issues such as the role of Green Financing in Green Entrepreneurship in Asian Countries and looks for the mechanisms that can help in idea-generation and the launching of successful Green Start-ups.
This book features a selection of articles from The 2019 International Conference on Information Technology & Systems (ICITS’19), held at the Universidad de Las Fuerzas Armadas, in Quito, Ecuador, on 6th to 8th February 2019. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are: information and knowledge management; organizational models and information systems; software and systems modeling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education; cybersecurity and cyber-defense; electromagnetics, sensors and antennas for security.
The advent of Industry Revolution 5.0 has brought unprecedented challenges to supply chain management, compromising the effectiveness, transparency, and security of operations. Traditional methods of transaction management and data sharing prove inadequate in this complex landscape, necessitating a comprehensive solution. Editors Mustafa Khan, Naveed R. Khan, and Arsalan Ghouri present Achieving Secure and Transparent Supply Chains With Blockchain Technology, an edited collection that offers a groundbreaking solution. This book provides a thorough overview of blockchain technology and its potential to enhance supply chain efficiency, security, and resilience. By leveraging its decentralized ...
Ore extraction through surface and underground mining continues to involve deeper excavations in more complex rock mass conditions. Communities and infrastructure are increasingly exposed to rock slope hazards as they expand further into rugged mountainous terrains. Volume 1 presents papers describing new technologies, ideas and insights concerning fundamental rock mechanics, while the second volume comprises a collection of rock engineering case histories relevant to the major themes of the symposium: rock slope hazards, geotechnical infrastructure, surface and underground mining, and petroleum exploitation.
Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve...