Resultaten voor 'mus'

41 resultaten
  1. How to Speak Whale
    1. Tom Mustill

    How to Speak Whale

    A Voyage into the Future of Animal Communication

    ‘Fascinating’ Greta Thunberg ‘Extraordinary’ Merlin Sheldrake ‘A must-read’ New Scientist ‘Enthralling’ George Monbiot ‘Brilliant’ Philip Hoare

    € 14,95
  2. Machine Learning in Youth Badminton
    1. Rabiu Muazu Musa
    2. Anwar P. P. Abdul Majeed

    Machine Learning in Youth Badminton

    Predictive Analytics for Talent Detection and Individualised Training
    € 60,50
  3. Theory, Algorithms, and Modern Applications for Recommender Systems

    Theory, Algorithms, and Modern Applications for Recommender Systems

    € 219,95
  4. Shallow Learning vs. Deep Learning

    Shallow Learning vs. Deep Learning

    A Practical Guide for Machine Learning Solutions
    € 186,95
  5. Affective Computing for Social Good

    Affective Computing for Social Good

    Enhancing Well-being, Empathy, and Equity
    € 274,95
  6. Understanding Models Developed with AI

    Understanding Models Developed with AI

    Including Applications with Python and MATLAB Code

    ÖMER 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
  7. AI-Driven Environmental Pollution Management

    AI-Driven Environmental Pollution Management

    This book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cutting-edge technologies such as IoT-based systems and AI integration for pollution detection and monitoring networks. With a focus on machine learning and deep learning models, the book provides insights into assessing, predicting, and mitigating the impact of pollution. Furthermore, it examines the implementation of AI-driven strategies for pollution control and reduction, alongside considerations for urban planning and sustainable infrastructure development. This indispensable resource navigates the social, policy, and economic implications of employing AI in environmental governance, emphasizing the importance of global cooperation for effective pollution management.The book will help readers to:1. Understand the adverse effect of environmental pollution in the era of new age. 2. Implement advanced management techniques that integrate sustainability into various environmental business economics.3. Explore effective environmental control and mitigation strategies using Internet of Things technologies and data analytics.4. Leverage AI/ML/DL for accurate environmental monitoring, modelling, prediction and decision-making.5. Navigate the complexities of Industry 4.0 to achieve sustainable development goals.

    € 213,99
  8. Artificial Intelligence and Applications

    Artificial Intelligence and Applications

    The papers in this book are high quality refereed papers presented at ICAIA 2025, the third International Conference on Artificial Intelligence and Applications, held at Maharaja Surajmal Institute of Technology, New Delhi in March 2025. This book presents new and innovative developments and applications in machine learning, data mining, neural networks, computation optimisation technologies, followed by research applications in signals, language and classification, prediction, recommendations, and systems. This book is essential for researchers and practitioners in this field.

    € 299,59
  9. Machine Learning in Finance

    Machine Learning in Finance

    Trends, Developments and Business Practices in the Financial Sector

    This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies.

    € 219,95
  10. Shallow Learning vs. Deep Learning

    Shallow Learning vs. Deep Learning

    A Practical Guide for Machine Learning Solutions
    € 186,95
  11. Affective Computing for Social Good

    Affective Computing for Social Good

    Enhancing Well-being, Empathy, and Equity
    € 274,95
  12. Advances on Graph-Based Approaches in Information Retrieval

    Advances on Graph-Based Approaches in Information Retrieval

    First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings

    This book constitutes the refereed proceedings of the First International Workshop on Graph-Based Approaches in Information Retrieval, IRonGraphs 2024, held in Glasgow, UK, on March 24, 2024. The 6 full papers included in this book were carefully reviewed and selected from 14 submissions.

    € 71,50