Schweitzer Fachinformationen
Wenn es um professionelles Wissen geht, ist Schweitzer Fachinformationen wegweisend. Kunden aus Recht und Beratung sowie Unternehmen, öffentliche Verwaltungen und Bibliotheken erhalten komplette Lösungen zum Beschaffen, Verwalten und Nutzen von digitalen und gedruckten Medien.
This book includes selected papers presented at the 5th International Conference on Data Engineering and Communication Technology (ICDECT 2024), held at Asia Pacific University of Technology and Innovation (APU, Kuala Lumpur, Malaysia, during 28-29 September 2024. It features advanced, multidisciplinary research towards the design of smart computing, information systems and electronic systems. It also focuses on various innovation paradigms in system knowledge, intelligence and sustainability which can be applied to provide viable solutions to diverse problems related to society, the environment and industry.
Vikrant Bhateja is an associate professor in Department of Electronics Engineering, faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as the head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 40 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as "Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, five papers have received "Best Paper Award''.
Vazeerudeen Abdul Hameed is an accomplished academician with a wealth of experience spanning over a decade, primarily focusing on teaching and research. Having earned his Ph.D. in Computer Science from Universiti Teknologi Malaysia, he has demonstrated a deep understanding and expertise in his field. Since 2009, he has been an integral part of the Asia Pacific University of Technology and Innovation (APU) in Malaysia, where he has contributed significantly to the academic community. His research interests encompass cutting-edge areas such as Machine Learning, Deep Learning and Computer Vision, reflecting his dedication to exploring and advancing the frontiers of these fields.
Siba K. Udgata is a professor in the School of Computer and Information Sciences, University of Hyderabad (Institute of Eminence). He served Centre for Modelling, Simulation and Design (CMSD) as a director between year 2012 and 2016. He has a Masters and Ph.D. in Computer Science. He was a United Nations fellow and worked in the United Nations University/International Institute for Software Technology (UNU/IIST), Macau as research fellow in the year 2001. He is a recipient of IBM SUR (Shared University Research) award grant for the project "Mobile Sensor Network based Disaster Management System with special emphasis on Rescue Management System".
Jinshan Tang is a professor of Health Informatics in the Department of Health Administration and Policy. Before joining George Mason University, Dr. Tang was a full professor in the College of Computing at Michigan Technological University and a founding director of the Joint Center for Biocomputing and Digital Health. Dr. Tang's research covers broad areas related to image processing and artificial intelligence. His specific research interests include biomedical image analysis, biomedical imaging, artificial intelligence in medicine (e.g., computer-aided cancer detection, AI for COVID-19 detection).
Emerging Smart Technological Applications in the Food Industry.- Brain Tumor Detection, Segmentation, and Classification Using Computer Vision Techniques.- How Smart Home System Support Sustainable Development Goals.- MiTM Attack Classification in IoT Network with Machine Learning Algorithm.- Record Linkage as A Pre-processing Tool in Big Data Applications Using Machine Learning.- A Hybrid Approach: Combining Deep Learning and Large Language Model for General Workplace Activity Recognition.- Enhancing Pali Manuscript Interpretation with Artificial Neural Network Techniques.- Towards Metaverse Readiness: Analyzing Students' Challenges with Mobile Library Applications and Their Perceptions of Augmented Reality Implementation in the University Library.- Durian Fruit Diseases Detection using Convolutional Neural Networks (CNN) and Pre-trained Models.- A Cost-Effective Smart Approach to Promoting Sustainable Waste Disposal Practices.- etc.
Dateiformat: PDFKopierschutz: Wasserzeichen-DRM (Digital Rights Management)
Systemvoraussetzungen:
Das Dateiformat PDF zeigt auf jeder Hardware eine Buchseite stets identisch an. Daher ist eine PDF auch für ein komplexes Layout geeignet, wie es bei Lehr- und Fachbüchern verwendet wird (Bilder, Tabellen, Spalten, Fußnoten). Bei kleinen Displays von E-Readern oder Smartphones sind PDF leider eher nervig, weil zu viel Scrollen notwendig ist. Mit Wasserzeichen-DRM wird hier ein „weicher” Kopierschutz verwendet. Daher ist technisch zwar alles möglich – sogar eine unzulässige Weitergabe. Aber an sichtbaren und unsichtbaren Stellen wird der Käufer des E-Books als Wasserzeichen hinterlegt, sodass im Falle eines Missbrauchs die Spur zurückverfolgt werden kann.
Weitere Informationen finden Sie in unserer E-Book Hilfe.
