Intelligent Computing
-
Herausgegeben von:
Leonidas Deligiannidis
The Intelligent Computing Series is a rapidly evolving field that covers a wide range of topics such as machine learning, artificial intelligence, data mining, security, and soft computing. Additionally, the series may include specialized topics like Applications of Intelligent Computing, platforms, and ethical and social considerations. The series will publish research monographs, professional titles, edited volumes, and textbooks. The target audience for the series includes researchers, practitioners, and students in computer science, computer engineering, information technology, and related fields.
Book proposals are solicited for consideration in all topics in Computer Science and Intelligent Computing including, but not limited to:
Pattern recognition applications; Machine vision; Brain-machine interface; Embodied robotics; Biometrics; Computational biology; Bioinformatics; Image and signal processing; Information mining and forecasting; Sensor networks; Information processing; Internet and multimedia; DNA computing; Machine learning applications; Expert Systems and knowledge representation, Multi-agent systems applications; Telecommunications; Transportation systems; Intrusion detection and fault diagnosis; Game technologies; Material sciences; Space, weather, climate systems, and global changes; Computational ocean and earth sciences; Combustion system simulation; Computational chemistry and biochemistry; Computational physics; Medical applications; Transportation systems and simulations; Structural engineering; Computational electro-magnetic; Computer graphics and multimedia; Face recognition; Semiconductor technology, electronic circuits, and system design; Dynamic systems; Computational finance; Information mining and applications; Astrophysics; Biometric modeling; Geology and geophysics; Nuclear physics; Quantum Computing, Computational journalism; Geographical Information Systems (GIS) and remote sensing; Military and defense related applications; Ubiquitous computing; Virtual reality; Agent-based modeling; Computational psychometrics; Affective computing; Computational economics; Computational statistics; Emerging applications, Ethical considerations and challenges in Intelligent Computing, Real-world applications in fields like healthcare, finance, and robotics.
Fachgebiete
Through the application of cutting-edge techniques like Big Data, Data Mining, and Data Science, it is possible to extract insights from massive datasets. These methodologies are crucial in enabling informed decision-making and driving transformative advancements across many fields, industries, and domains. This book offers an overview of latest tools, methods and approaches while also highlighting their practical use through various applications and case studies.
Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of computer science methods that incorporate AI across many domains. It covers techniques such as Machine Learning (ML), Convolutional Neural Networks (CNN), Deep Learning (DL), and Large Language Models (LLM) to tackle complex issues and overcome various challenges.
The depth of our dependence on technology in our interconnected world underscores the critical role of cyber security. This book provides essential insights into the latest research and best practices and techniques for protecting against cyber threats, emphasizing the critical relevance of cyber security in safeguarding personal information, businesses, and national security.
