Chapman and Hall/CRC
Federated Learning for Healthcare: Applications with Case Studies
Neutrosophic Computing and Vague Data Analysis
Bioinformatics and Computational Biology: Technological Advancements, Applications Opportunities
Choreomata: Performance and Performativity after AI
Tensor Methods in Statistics: Monographs on Statistics and Applied Probability
Mathematics for Artificial Intelligence
Computerized Multistage Testing: Theory and Applications
AI: Unexplainable, Unpredictable, Uncontrollable
Advanced Basketball Data Science: With Applications in R
A First Course In Chaotic Dynamical Systems: Theory And Experiment
Practical AI for Professionals: Understanding, Using, and Surviving
Statistical Thinking in Clinical Trials
An Introduction to Virtual and Augmented Reality: Designing Impactful Experiences
Perspectives on Machine Consciousness
Interactive Media with Next-Gen Technologies and Their Usability Evaluation
Work Automation with R
The Z Garbage Collector: In JDK 25
Practical Statistics in Medicine with R: Understanding Fundamental Concepts through Examples
Practical Sample Size Determination for Medical and Health Researchers
Statistical Methods for Spatial Data Analysis: Texts in Science
Cloud Computing for Smart Education and Collaborative Learning
A Second Course in Complex Analysis
The Math Thought Mindset: Logic, Reasoning, and Proofs
Bayesian Meta Analysis: A Practical Introduction
Univariate Families of Distributions
Theory of Computation for Software Developers
Metaheuristics and Reinforcement Techniques for Smart Sensor Applications
The AI Centered Enterprise: Reshaping Organizations with Context Aware
Understanding the Ethics of Generative AI: A Developer’s Guide
Bayesian Methods in Health Technology Assessment
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