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Machine Translation: Best Practices using Deep Learning and Generative AI

Differential and Difference Equations in Mathematical Biology

Explainable AI (XAI) for Sustainable Development: Trends and Applications

Artificial Intelligence in Geospatial Technology: Real-World Applications

Federated Learning for Smart Communication using IoT Application

Nature Inspired Robotics

Spatial Statistics for Data Science: Theory and Practice with R

Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges

Applied Bayesian Forecasting and Time Series Analysis

Almost Periodic Functions and Integro-Differential-Difference Equations in Locally Convex Spaces

AI, Blockchain, and Metaverse in Hospitality Tourism Industry 4.0: Case Studies Analysis

Spatial Data Science: With Applications in R

Random Patterns and Structures in Spatial Data

An Introduction to Generalized Linear Models

Practical Statistics for Medical Research: 12

Principles of Psychological Assessment: With Applied Examples in R

Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks

Introduction to Statistical Computing and Visualization Using R

Developing AI, IoT and Cloud Computing-based Tools Applications for Women’s Safety

Advanced Techniques and Applications of Cybersecurity Forensics

Image Processing and Machine Learning

Applied Mathematics Toolkit: Modeling, Data, and Algorithms for Scientists Engineers

Practical Statistical Consulting: Learning from Everyday Cases Using R

Exercises in Programming Style

Social Network Analytics: Empowering Data Engineering with Deep Learning and Large Language Models

Galois Theory

Mathematical Foundations of Deep Learning: Theory and Algorithms

The Analysis of Time Series: An Introduction with R

Digital Farming: Case Studies and Applications of IoT AI in Agricultural Industry

Smart Medical Imaging for Diagnosis and Treatment Planning