Sökning: "learning loop"
Visar resultat 31 - 35 av 68 avhandlingar innehållade orden learning loop.
31. Prediction of zinc-binding sites in proteins and efficient protein structure description and comparison
Sammanfattning : A large number of proteins require certain metals to stabilize their structures or to function properly. About one third of all proteins in the Protein Data Bank (PDB) contain metals and it is estimated that approximately the same proportion of all proteins are metalloproteins. LÄS MER
32. Migration strategies of raptors – spatio-temporal adaptations and constraints in travelling and foraging
Sammanfattning : My dissertation is about bird migration and addresses questions about how raptors adapt to the fluctuating environments during the transition seasons between breeding and wintering. The migration is highly affected by local prey abundance, foraging strategies, weather conditions and landscape patterns along the migration routes as well as navigation and orientation mechanisms and cues. LÄS MER
33. High-Density Electromyography-Based Methods for Joint Torque Prediction and Motor Unit Behavior Observation
Sammanfattning : Electromyography (EMG) is a technique that measures the electrical activity of muscles. It reflects muscle activation and provides an interface to the central nervous system at the level of the muscle or individual motor units, which helps us understand the mechanisms of muscle force production, control, and coordination. LÄS MER
34. Interactive Optimisation in Marine Propeller Design
Sammanfattning : Marine propeller design is a complex engineering problem that depends on the collaboration of several scientific disciplines. During the design process, the blade designers need to consider contradicting requirements and come up with one optimal propeller design as a solution to the specific problem. LÄS MER
35. Towards clinically viable neuromuscular control of bone-anchored prosthetic arms with sensory feedback
Sammanfattning : Promising developments are currently ongoing worldwide in the field of neuroprosthetics and artificial limb control. It is now possible to chronically connect a robotic limb to bone, nerves, and muscles of a human being, and to use the signals sourced from these connections to enable movements of the artificial limb. LÄS MER