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Computational Health Informatics for Biomedical Applications
The recent explosion of technology in healthcare has rapidly changed the healthcare sector. Technologies such as artificial intelligence and machine learning along with the integration of the Internet of Medical Things have evolved to tackle the need for remote healthcare systems, augmenting them in a self-sustainable way. This new volume explores the many important smart technologies that can make healthcare delivery and monitoring faster, more efficient, and less invasive. It looks at computational tactics as applied to the development of biomedical applications using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies. The book provides a solid framework to give the modern class of medical gearheads information on the innovative applications of computational mechanisms for improving and expediting patient-friendly automation in healthcare.
Advanced Mathematical Applications in Data Science
Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applica...
Cybersecurity in Robotic Autonomous Vehicles
Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms. Presenting a new method for improving vehicle security, the book demonstrates how the IDS has incorporated machine learning and deep learning frameworks to analyse CAN bus traffic and identify the presence of any malicious activities in real time with high level of accuracy. It provides a comprehensive examination of the cybersecurity risks faced by AVs with a particular emphasis on CAN vulnerabilities and the innovative use of data prioritisation within CAN IDs. The book will interest researchers and advanced undergraduate students taking courses in cybersecurity, automotive engineering, and data science. Automotive industry and robotics professionals focusing on Internet of Vehicles and cybersecurity will also benefit from the contents.
Unmanned Aerial Vehicle Cellular Communications
The book discusses how Unmanned Aerial Vehicles (UAVs) can leverage the sub-6 GHz massive MIMO to address cell selection and interference issues in future wireless networks. The book takes a close look at utilizing UAVs to achieving direct and efficient device-to device (D2D) communications in the sky. Also, the key 6G enablers (cell-free architectures, artificial intelligence, reconfigurable intelligent surfaces, THz communications, and non-terrestrial networks) for UAV communication are broached, and the primary technological challenges of each enabler are discussed extensively. Furthermore, the book covers the design of adaptable UAVs to operate in diverse and harsh environmental conditions. Additionally, the existing UAVs’ networking protocols and how these can be greatly enhanced to address the issue of intermittent network changes and channel impairments are discussed. The prospects and societal benefits envisioned in future UAVs are also presented.
Real-World Applications of Quantum Computers and Machine Intelligence
The emergence of quantum computing promises a monumental shift in technological capabilities, poised to revolutionize various fields where traditional computing methods may fall short. Quantum computing's potential spans a wide spectrum of applications, from enhancing cryptography to revolutionizing climate modeling and drug discovery. Major corporations are integrating quantum computing into artificial intelligence research, marking a pivotal shift from traditional computing methods. Real-World Applications of Quantum Computers and Machine Intelligence explores practical examples in quantum computing and machine learning for various industry revolutions. By contrasting quantum computing with conventional data mining systems, this book offers insights into the transformative potential of quantum computing, enabling the development of new techniques for real-time problem-solving and innovation. This book covers topics such as deep neural networks, environmental technologies, and machine learning, and is a useful resource for computer engineers, industry professionals, researchers, academicians, scientists, business owners, and healthcare workers.
Empirical Finance
This book makes two key contributions to empirical finance. First it provides a comprehensive analysis of the Thai stock market. Second it presents an excellent exposition ofhow modem econometric techniques can be utilised to understand a market. The increasing globalisation of the world's financial markets has made our un derstanding of the risk-return relationship in a broader range of markets critical. This is particularly so in emerging markets where market depth and liquidity are major issues. One such emerging market is Thailand. The Thai capital market isof particular interest given that it was the market in which the Asian financial crises commenced. As such an understanding ofthe Th...
Emergent Converging Technologies and Biomedical Systems
The book contains proceedings of the International Conference on Emergent Converging Technologies and Biomedical Systems ETBS 2023. It includes papers on wireless multimedia networks, green wireless networks, electric vehicles, biomedical signal processing, and instrumentation, wearable sensors for health care monitoring, biomedical imaging, and bio-materials, modeling, and simulation in medicine biomedical, and health informatics. The book serves as a useful guide for educators, researchers, and developers working in the areas of signal processing, imaging, computing, instrumentation, artificial intelligence, and their related applications. This book also provides support and aid to the researchers involved in designing the latest advancements in healthcare technologies.
オーストラリア研究紀要
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Indian and Pakistan Year Book and Who's who
Issues for 1919-47 include Who's who in India; 1948, Who's who in India and Pakistan.
Islam, Peace and Social Justice
Islam, Peace and Social Justice examines the ways in which Islamic cultures have dealt with issues of social justice historically and culturally. With unwavering objectivity, the author helps readers of any faith to gain a nuanced and accurate understanding of the challenges that we face in contemporary multifaith engagements. Dr van Gorder offers a comprehensive and sympathetic Christian insight into Islam. The contentious issues of social justice that are encountered in this broad, yet intricate, studyinclude the concept of Jihad, poverty, political oppression, human rights, genocide, racism, sexual injustice, homophobia, and environmental degradation. The challenges are real and the probl...
