This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field and work directly with current large-scale biological datasets.
Anomaly Detection & Behavior Prediction: Higher-Level Fusion Based on Computational Neuroscientific Principles
Computer simulation techniques of textile forms already represent an important tool for textile and garment designers, since they offer numerous advantages, such as quick and simple introduction of changes while developing a model in comparison with conventional techniques. Therefore, the modeling and simulation of textile forms will always be an important issue and challenge for the researcher…
Wireless Communication Protocols for Distributed Computing Environments
Towards Conformal Interstitial Light Therapies: Modelling Parameters, Dose Definitions and Computational Implementation
Uncertainty and Error Handling in Pervasive Computing: A User's Perspective
Think Java is an introduction to computer science and programming intended for readers with little or no experience. We start with the most basic concepts and are careful to define all terms when they are first used. The book presents each new idea in a logical progression. Larger topics, like recursion and object-oriented programming, are divided into smaller examples and introduced over the c…
Discovery of Words: towards a Computational Model of Language Acquisition
3D Cameras: 3D Computer Vision of Wide Scope
Review of Wireless Brain-Computer Interface Systems