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.