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This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytic...
This reference reviews the reported literature on new approaches of nanocomposite material preparation and their applications in the development of physical, chemical, electrochemical, biological, fluorescence and colorimetric sensors. Sensor nanomaterials have been extensively used to amplify signals in the detection of a range of chemicals including toxic gases, biochemical nutrients, ions, explosives, pesticides and drugs to name a few. 14 chapter contributions highlight state-of-the-art sensors in recent years by outlining the synthesis, role and progress of nanocomposite materials in fabricating flexible and multifunctional sensing platforms in sensor technologies. Chapters first introd...
The four-volume set LNAI 6881-LNAI 6884 constitutes the refereed proceedings of the 15th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2011, held in Kaiserslautern, Germany, in September 2011. Part 2: The total of 244 high-quality papers presented were carefully reviewed and selected from numerous submissions. The 70 papers of Part 2 are organized in topical sections on web intelligence, text and multimedia mining and retrieval, intelligent tutoring systems and e-learning environments, other / misc. intelligent systems topics, methods and techniques of artificial and computational intelligence in economics, finance and decision making, workshop on seamless integration of semantic technologies in computer-supported office work (sistcow), innovations in chance discovery, advanced knowledge-based systems, recent trends in knowledge engineering, smart systems, and their applications.
This book features best selected research papers presented at the Fourth International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2024) held at GIET University, Gunupur, India, during 8–10 April 2024. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques.
This book constitutes the refereed proceedings of the 6th International Conference on Service-Oriented Perspectives in Design Science Research, DERIST 2011, held in Milwaukee, WI, USA, in May 2011. The 29 revised full papers presented together with 5 revised short papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on design theory, design science research strategies, design methods and techniques, design evaluation, design guidelines, service-oriented perspectives in design science, process design, neuroscience in design research, and designing for social media.
Proceedings of the Numismatic Society form a separately paged section of each vol.
Includes entries for maps and atlases.
Contents: General Introduction, EIA Methodologies Currently in Use, Backdrop for Testing the New Methodologies, INTRA A New Methodology for Selection the Most Influential Parameters for Study so as to Reduce the Costs of EIA, SMART-ALEC-A New Software Package for Studying Developmental Trends and their Environmental Impacts, CREAM A New Approach for Assessing Total Impacts and Determining Strategies for Environmentally Sustainable Developmental Planning, Summary and Conclusions.