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Visar resultat 1 - 5 av 1799 avhandlingar innehållade orden de dem.
1. Learning from Interactions : Forward and Inverse Decision-Making for Autonomous Dynamical Systems
Sammanfattning : Decision-making is the mechanism of using available information to generate solutions to given problems by forming preferences, beliefs, and selecting courses of action amongst several alternatives. In this thesis, we study the mechanisms that generate behavior (the forward problem) and how their characteristics can explain observed behavior (the inverse problem). LÄS MER
2. Cationic Dendritic Polymers and Their Hybridization with Cellulose Nanofibrils
Sammanfattning : Antimicrobial resistance (AMR) is one of the major global threats to thehealth of humans, animals, plants and ecosystems. AMR arises whenbacteria, viruses, fungi, and parasites undergo changes over time; makingmedicines such as antibiotics, antivirals, antifungals and antiparasiticineffective at treating infections. LÄS MER
3. Multi-Agent Mission Planning and Execution for Small Autonomous Underwater Vehicles
Sammanfattning : Our planet is mostly covered in water, most of it still unexplored.In order to understand our environment better, oceanographers have been mapping and monitoring these waters using ship-mounted sensors and wired vehicles with limited range compared to the vastness of the oceans. LÄS MER
4. On Machine Learning-Based Control for Energy Management in Construction Machines
Sammanfattning : High energy efficiency is a key requirement for modern construction machinery. This is because of stricter environmental targets, electrification, and reduction of operation costs. LÄS MER
5. DEM Modelling of Unbound Granular Materials for Transport Infrastructures : On soil fabric and rockfill embankments
Sammanfattning : Unbound granular materials (UGM) are widely used as load-bearing layers and for embankment construction within transport infrastructures. These play a significant role on operation and maintenance of transportation systems. However, pavement and railway engineering still today rely heavily on empirical models based on macroscopic observations. LÄS MER