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Recent Researches and Practices in Engineering Sciences
Recent Researches and Practices in Engineering Sciences , Livre de Lyon
Knowledge-Based Intelligent Information and Engineering Systems
This book is part of a three-volume set that constitutes the refereed proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2007. Coverage in this first volume includes artificial neural networks and connectionists systems, fuzzy and neuro-fuzzy systems, evolutionary computation, machine learning and classical AI, agent systems, and information engineering and applications in ubiquitous computing environments.
EEG SIGNAL PROCESSING: A Machine Learning Based Framework
1.1 Motivation Analysis of non-stationary and non-linear nature of signal data is the prime talk in signal processing domain today. On employing biomedical equipments huge volume of physiological data is acquired for analysis and diagnostic purposes. Inferring certain decisions from these signals by manual observation is quite tedious due to artefacts and its time series nature. As large volume of data involved in biomedical signal processing, adopting suitable computational methods is important for analysis. Data Science provides space for processing these signals through machine learning approaches. Many more biomedical signal processing implementations are in place using machine learning methods. This is the inspiration in adopting machine learning approach for analysing EEG signal data for epileptic seizure detection.
Advances in Deep Learning for Medical Image Analysis
This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
Basın Almanağı 2018
Basında her gün yeni bir hak ihlali yaşanıyor, ihlal kimi zaman devletten kimi zaman sermayeden kaynaklanıyor. 2018 yılında yaşananları gün gün derledik ve yorumlarla zenginleştirdik. İşte basında 2018 yılı Each day, press freedom is violated in Turkey. The violations are sometimes caused by the state or the capital. We compiled the events of 2018 day by day and enriched them with comments. Here is the year 2018 in the press
Handbook of Research on Behavioral Finance and Investment Strategies: Decision Making in the Financial Industry
In an ever-changing economy, market specialists strive to find new ways to evaluate the risks and potential reward of economic ventures by assessing the importance of human reaction during the economic planning process. The Handbook of Research on Behavioral Finance and Investment Strategies: Decision Making in the Financial Industry presents an interdisciplinary, comparative, and competitive analysis of the thought processes and planning necessary for individual and corporate economic management. This publication is an essential reference source for professionals, practitioners, and managers working in the field of finance, as well as researchers and academicians interested in an interdisciplinary approach to combine financial management, sociology, and psychology.
Contemporary Perspectives and Research on Early Childhood Education
Contemporary Perspectives and Research on Early Childhood Education is a welcome addition to the field of early childhood education. This book enhances the understanding of different approaches to curriculum and instruction; appropriate assessment strategies; the role of math and science in children’s development; the importance of seeing the whole child and ensuring children develop holistically through play and arts; training effective teachers; and the importance of helping parents to be better supporters of their children. Along with this comprehensive content, the book also contains diverse methodologies including qualitative, quantitative and mixed-method approaches, which will further enrich the reader’s perspective and understanding of a wide range of topics in the field. Thus, this book creates a platform for researchers and practitioners to share and discuss research findings, expertise, and experiences about early childhood education.
Multidisciplinary Perspectives on Education
This volume is a collection of essays on educational issues belonging to educators and researchers from three continents, namely Africa, Asia, and Europe. The essays are grouped into four sections: the first, “Teaching and Teacher Education”, encompasses collaborative learning, learning competencies, learning strategies, pre-service teachers, and special education. The second, “Psychosocial Development of Children in Education”, is comprised of essays concerned with academic achievement, child rights, family and gender issues, pre-schoolers, public education, school type, school violence, university students, and university youth, while the third, “Educational Policy” investigate...
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. ...
