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Design for a Contemporary World
Design plays a significant role in environmental, ethical, economic and cultural arenas, and contributes to people's wealth, cultural identity and quality of life. This textbook presents the theory and practice of design fundamentals. It offers learning objectives that develop motivation, creative spirit, and cognitive strategies among students.
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Engineering Mathematics and Artificial Intelligence
Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques
The Feminist Pacific
As competing American, European, and later Japanese imperial and colonial ambitions spread across the ocean in the nineteenth century, Honolulu emerged as a transnational hub for the exchange of ideas. Rumi Yasutake reveals the pivotal role of women’s organizing in this era of rapid globalization, tracing how diverse movements intersected and converged in Hawai‘i—with worldwide consequences. The Feminist Pacific examines transnational networks in Hawai‘i beginning in 1820, with the arrival of American missionary wives, and through the rise of women’s internationalism in the interwar years. It follows an array of suffragists, missionaries, maternalists, and antiwar activists in thei...
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6G Wireless
6G Wireless: The Communication Paradigm Beyond 2030 offers a thorough discussion of some key emerging technologies such as Intelligent Reflecting Surface (IRS), Unmanned Aerial Vehicles (UAV), Aerial Computing, Terahertz (THz) Communications, Non-Orthogonal Multiple Access (NOMA) and Rate Splitting Multiple Access (RSMA). The book provides a comprehensive coverage of the vision, requirements, use cases, enabling technologies, and challenges for the future 6G wireless communication systems. This includes discussions on how 6G and future IoT systems will enable extremely low latency healthcare systems, smart industry, haptic communications, programmable wireless environment (PWE), advanced VR/...
Developing Future-ready Learners for a Global Age
Suzanne S. Choo, Woon Chia Liu, and Bee Leng Chua offer a dynamic look into the tripartite relationship between education research, policy, and practice that characterizes Singapore’s changing education landscape. Over the years, Singapore has garnered increasing attention internationally for its world-class education system. Pushing back against the stereotypical notions of exam- and teacher-centric education in Asia, the contributors to this volume discuss opportunities as well as challenges in Singapore’s innovation towards constructivist, critical, culturally responsive, and cosmopolitan forms of learning. Highlighting the pedagogical innovation and its context in Singapore’s teach...
Deep Learning for Smart Healthcare
Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new w...
Explainable Natural Language Processing
This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to an expert audience. The book opens by motivating a focus on providing a consistent taxonomy, pointing out inconsistencies and redundancies in previous taxonomies. It goes on to present (i) a taxonomy or framework for thinking about how approaches to explainable NLP relate to one another; (ii) brief surveys of each of the classes in the taxonomy, with a focus on methods that are relevant for NLP; and (iii) a discussion of the inherent limitations of some classes of methods, as well as how to best evaluate them. Finally, the book closes by providing a list of resources for further research on explainability.
