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Research Methodology
This book offers a design research methodology intended to improve the quality of design research- its academic credibility, industrial significance and societal contribution by enabling more thorough, efficient and effective procedures.
Advanced Machine Intelligence and Signal Processing
This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Compu...
Research Methodology
This book offers a design research methodology intended to improve the quality of design research- its academic credibility, industrial significance and societal contribution by enabling more thorough, efficient and effective procedures.
Pattern Recognition and Data Analysis with Applications
This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computatio...
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Lernerautonomie von DAF-Lehramtstudierenden
Zur Förderung der Lernerautonomie im Fremdsprachenunterricht wird von vielen WissenschaftlerInnen betont, dass besonders zuverlässige und valide Messinstrumente erforderlich sind. Die vorliegende Studie zielt daher zunächst darauf ab, eine Skala zu entwickeln, die Lernerautonomie von DAF-Lehramtstudierenden misst. Im Anschluss wurde die entwickelte Skala zur Analyse und Bewertung verschiedener soziodemographischer Merkmale der Stichproben verwendet. Die endgültige Version der Skala enthält 19 Items unter den vier Faktoren "Taktiken", "Strategien", "Verantwortungsbewusstsein" und "Einstellung und Motivation". Die unerwartet entstandene Situation durch die Covid-19-Pandemie bewies noch einmal, wie wichtig autonomes Lernverhalten ist. Lernende, die in der Lage sind, Selbstverantwortung zu übernehmen und den Bildungsprozess selbständig und unabhängig vom Unterrichtsgeschehen zu organisieren, haben die herausfordernde Corona-Zeit gut überstanden. Anhand der Ergebnisse der vorliegenden Studie wurde auch deutlich, dass die Lehrkräfte der Sekundarstufe und des Hochschulstudiums mehr daran arbeiten sollten, den Lernenden zu helfen, weniger abhängig von ihnen zu werden.
Explainable AI in Healthcare
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electri...
Encyclopedia of Big Data
This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of th...
Proceedings Second International Conference on Information Processing
The proceedings features several key-note addresses in the areas of advanced information processing tools. This area has been recognized to be one of the key five technologies poised to shape the modern society in the next decade. It aptly focuses on the tools and techniques for the development of Information Systems. Emphasis is on pattern recognition and image processing, software engineering, mobile ad hoc networks, security aspects in computer networks, signal processing and hardware synthesis, optimization techniques, data mining and information processing.
