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Advances in Visual Informatics
This book constitutes the refereed proceedings of the 8th International Conference on Advances in Visual Informatics, IVIC 2023, held in Selangor, Malaysia in November 2023. The 51 full papers presented were carefully reviewed and selected from 101 submissions. The conference focused on 6 tracks: Modeling and Simulation, Mixed Reality and HCI, Systems Integration and IoT, Cybersecurity, Energy Informatics and Intelligent Data Analytics.
Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems
Different healthcare technologies have been in use for decades. These technologies are continuously evolving and changing the way medicine will be practiced in the future. These technologies allow medical practice from anywhere, at any time, and from any device. These technologies are mainly concerned with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, processing, and use of information in health. Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems provides relevant theoretical and practical frameworks, as well as the latest empirical research findings in the area. It provides insights and supports executives concerned with remote patient monitoring through wearable devices and diagnostics systems. Covering topics such as cloud computing, obesity monitoring systems, and photoacoustic imaging, this premier reference source is an essential resource for hospital administrators, medical technicians, healthcare professionals, medical students and educators, librarians, researchers, and academicians.
Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
This is an open access book.The 2nd International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022) will be held on 25-27 July 2022 virtually. This conference is being co-organized by Faculty of Computing & Informatics (FCI) and Faculty of Information Science Technology (FIST), Multimedia University. CITIC 2022 aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Frontiers in Computer, Information Technology and Intelligent Computing. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer, Information Technology and Intelligent Computing. This is an open access book.
Semantic Models in IoT and eHealth Applications
Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth...
Food Traceability
This book provides a picture of food traceability for all aspects of the food system, recognizing the unique differences, challenges, and “states of the industry” in different types of food products, as well as the different pressures and opportunities at different points in the supply chain and the research that has already been done. It also provides some historical context, along with the types of solutions available to the food industry, and the benefits associated with better recordkeeping that go beyond the public good and impact the bottom line. Whenever a food related outbreak occurs, traceability is called into question. When lives are at stake, it is critical that the root of t...
Biliary Tract Surgery
This book presents the latest application of digital medical imaging technology in biliary tract surgery, including three-dimensional visualization preoperative evaluation, preoperative surgical planning, and simulated biliary surgery. Digital surgical diagnosis and treatment of cholecystolithisasis, bile duct stones, hepatolithiasis, gallbladder cancer, and bile duct cancer is described in details with more than 900 illustrations. Written by experts with wealthy of clinical experience, it will be a useful reference for general surgeons, as well as practitioners in related disciplines.
Teaching Creative Thinking
In Teaching Creative Thinking: Developing Learners Who Generate Ideas and Can Think Critically,Bill Lucas and Ellen Spencer define and demystify the essence of creative thinking, and offer action-oriented and research-informed suggestions as to how it can best be developed in learners. Where once it was enough to know and do things, young people now need more than subject knowledge in order to thrive: they need capabilities. Teaching Creative Thinking is the first title in the three-part Pedagogy for a Changing World series, founded upon Lucas and Spencer's philosophy of dispositional teaching a pedagogical approach which aims to cultivate in learners certain dispositions that evidence sugge...
Data Analytics in Bioinformatics
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
