Albert Camus
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Informatica en informatietechnologie
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Informatica en informatietechnologie
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Resultaten voor 'mus'
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Handbook of Artificial Intelligence in Green 6G Wireless Communications
The book begins by exploring the fundamentals of green wireless communication systems, providing a detailed overview of the core principles and candidate enabling technologies for 6G.
€ 242,50 -
From Pixels to Perception: The Interplay Between Real and Virtual Human Experiences
The book delves into two key aspects of the interaction between real and virtual humans. First, it examines the intricate dynamics of human perception in relation to virtual human representation, beginning with an exploration of the Uncanny Valley (UV) theory to understand why certain virtual humans evoke discomfort or a sense of strangeness in users. It also addresses how human biases influence these perceptions, offering a deeper understanding of the subjective factors at play. The book introduces innovative methods to investigate this phenomenon, correlating objective image characteristics, such as Hu Moments and Histogram Oriented Gradient (HOG), with subjective feelings of discomfort. The second aspect of the book shifts focus to the perspective of virtual humans, discussing how they perceive the virtual world and the importance of gaze behavior in creating believable characters. By integrating insights from neuroscience with data-driven models, the book illustrates how animated gaze and virtual human perception can enhance user interaction with virtual environments. Bringing together both sides of perception, this comprehensive analysis reveals how these dynamics impact the user experience with technology.
€ 241,95 -
Certified Kubernetes Application Developer (CKAD) Study Guide
In-Depth Guidance and PracticeThis revised study guide takes you through all the topics you need to fully prepare for the exam. Author Benjamin Muschko also shares his personal experience and tips.
€ 66,50 -
Machine Learning Strategies and Security Enhancement in Agricultural Sustainability
The book offers a unique perspective on the investigation of machine learning's incorporation into agriculture. It discusses the important components of agricultural sustainability and security enhancement. It provides a deeper exploration of the optimization component using machine learning approaches.
€ 166,50 -
Social Modeling Using the i* Framework
Essays in Honour of Eric Yu€ 219,95 -
Theory, Algorithms, and Modern Applications for Recommender Systems
€ 219,95 -
Loose Leaf Engineering Computation: An Introduction Using MATLAB and Excel: 2026 Release
€ 231,95 -
Spiritual Artificial Intelligence (SAI)
Towards a New Horizon€ 87,95 -
Understanding Models Developed with AI
Including Applications with Python and MATLAB CodeÖMER FARUK ERTUĞRUL received his B.S., M.S., and Ph.D. degrees in Electrical and Electronics Engineering in 2001, 2010, and 2015, respectively. His research interests are primarily focused on machine learning and signal processing. He holds six national and one international patent. He is currently a professor and vice rector at Batman University and serves as an associate editor for NC&A, covering the Middle East, excluding Iran. Moreover, he is the co-founder at INSENSE, ABRH, INTELLIGENT, and SOFTSENSE Inc. Dr. Tahir Çetin Akıncı completed his undergraduate studies in the Department of Electrical Engineering at Klaipeda University, Lithuania, in 2000, followed by his master’s degree in 2005 and doctorate in 2010. From 2003 to 2010, he served as a Research Assistant at Marmara University, after which he joined the Department of Electrical Engineering at Istanbul Technical University (ITU), where he earned the title of Associate Professor and, in 2020, was promoted to Professor. At ITU, Dr. Akıncı has held various administrative positions, including Deputy Director of the Institute of Science and Technology and Associate Dean of the Faculty of Electrical and Electronics Engineering. Between 2021 and 2023, Dr. Akıncı was a visiting scholar at the University of California, Riverside (UCR), where he currently serves as an Assistant Project Scientist. His research interests include artificial neural networks, deep learning, machine learning, cognitive systems, signal processing, data analysis, and electrical energy systems. Musa Yilmaz received his Associate Professor certificate in Electrical-Electronics and Communication Engineering. He works at the University of California, Riverside, and Batman University. He received his M.Sc. degree from Marmara University, Istanbul, Turkey, in 2004, and his Ph.D. degree from the same institution in 2013. From 2015 to 2016, Dr. Yilmaz was a visiting scholar at the Smart Grid Research Center (SMERC) at the University of California, Los Angeles (UCLA). His primary research interests include smart grid technologies, renewable energy, machine learning, and signal processing. Dr. Yilmaz is a partner of the medical company Biosys LLC. He has served as Editor-in-Chief of the Balkan Journal of Electrical and Computer Engineering (BAJECE) and the European Journal of Technique (EJT). Additionally, he is the owner of INESEG, a publishing organization. Dr. Yilmaz has authored over 50 research articles, several book chapters, and frequently delivers invited keynote lectures at international conferences. He has also led his research team as the Principal Investigator in several European projects. He is an IEEE Senior Member.
€ 196,95 -
Natural Language Processing and Information Retrieval
Principles and ApplicationsThis book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering.
€ 73,50 -
Partnership for Sustainable Development: Bridging Disciplines, Solving Complex African Challenges
€ 69,50