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Modelling with Ordinary Differential Equations: A Comprehensive Approach

Stochastic Processes Using Python

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference

Using R for Bayesian Spatial and Spatio Temporal Health Modeling

Spinel and Inverse Ferrites: Theoretical Technological Advances

AI for Decision Intelligence in Critical Systems

An R Companion to Linear Statistical Models

TinyML Foundations and Applications on Arduino Microcontrollers with MATLAB

AI Use Cases for Public Diplomacy: Applying to Affairs and Strategic Communication

Data-Centric Artificial Intelligence for Multidisciplinary Applications

Python Using GPT-5 and Gemini

Statistical Practice for Data Science: With Hands-On Illustrations Using R

A Handbook of Statistical Analyses using R

A Primer on Post-Quantum Cryptography

Introduction to Data Science: Statistics and Prediction Algorithms Through Case Studies

Introduction to Data Science: Two-Volume Set

Introduction to Data Science: Statistics and Prediction Algorithms Through Case Studies

Empowering Digital Education with ChatGPT: From Theoretical to Practical Applications

Cognitive Predictive Maintenance Tools for Brain Diseases: Design and Analysis

Deep Learning in Medical Image Analysis: Recent Advances and Future Trends

Mathematical Analysis with Topological Examples: A Narrative Approach for Undergraduates

DevOps for Data Science

Cloud of Things: Foundations, Applications, and Challenges

Sample Sizes for Clinical Trials

Epileptic Seizure Prediction Using Electroencephalogram Signals

Gateway Routing Selection Schemes for Post-Disaster Recovery in Mobile Ad Hoc Networks

Blockchain for IoT Systems: Concept, Framework and Applications

Latent Markov Models for Longitudinal Data

Cyberology: An Optimized Approach to the Cyber-World

Hybrid Nanostructures as Solid-State Sensors for IoT