Buch, Englisch, 216 Seiten, Format (B × H): 155 mm x 235 mm
Buch, Englisch, 216 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Big and Integrated Artificial Intelligence
ISBN: 978-3-032-36627-6
Verlag: Springer
This book wants to be a valuable tool for researchers and practitioners working on machine learning to gather ideas about applications, as scientific literature does not offer mostly. It provides the readers with a comprehensive insight to understand an in-depth big picture of the most recent techniques applied to real-world problems. Different application areas, such as agriculture, industry, health, social sciences, and security, have been considered.
It is suitable for senior undergraduate students, graduate students who are interested in research in multidisciplinary areas, and the researchers working in the related areas. This book is also used as a reference book for related courses in computer science, to offer ideas on practical applications. It can also be suitable for audience out of academia to obtain a general insight of applied machine learning.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Naturwissenschaften Physik Quantenphysik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Retrieval-Augmented Generation (RAG) in Industrial Applications:Opportunities, Adaptations, and Challenges.- Exploiting Automated Machine Learning and Fuzzy Transform for Music Information Retrieval: the Problem of Genre Recognition.- Pixels Mining: The Rise of Advanced Image Segmentation Methods.- A simple and efficient representation technique for fuzzy clustering of fuzzy data.- Forecasting Multidimensional Patterns of Violence and Crime in Mexico: A Comparison Between Classic and Machine Learning Approaches.- The New Challenges of Machine Learning: Gender Equality and Social Sustainability.- A Novel Data Regression Method Utilizing Multidimensional Fuzzy Transforms Combined with Inverse Distance Weighting Interpolation.- Practical Neural Network–Based Digital Predistortion for Modern Wireless Transmitters.- Mind, Body,and Sleep: Role of Mental Health in Sleep Disorders using Explainable AI.- Hidden Markov Models and Accuracy-Consistency Score for Speech Signals: Addressing noisy time series in sensor-based mental health monitoring.- Complementing Automated Machine Learning with Feature Engineering: An Application Case in Agriculture.
