Kurslitteratur inom Data & AI

Evolutionary Algorithms

Evolutionary Computation with Biogeography-based Optimization

Evolutionary Algorithms for Food Science and Technology

Classification, Parameter Estimation and State Estimation

Theory and Applications of Image Registration

Insight into Fuzzy Modeling

Artificial Neural Network Applications for Software Reliability Prediction

Artificial Intelligence in Digital Holographic Imaging

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Multiple Biological Sequence Alignment

Text Mining in Practice with R

New Autonomous Systems

Collective Intelligence and Digital Archives

Deep Learning for Physical Scientists

Machine Learning

Quantum Inspired Meta-heuristics for Image Analysis

Data Uncertainty and Important Measures

Optimization Techniques and Applications with Examples

Understanding Least Squares Estimation and Geomatics Data Analysis

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design

Data Mining

Techniques for Noise Robustness in Automatic Speech Recognition

Competing with High Quality Data

Making Sense of Data I