Essays about: "Deep dynamics model"
Showing result 11 - 15 of 52 essays containing the words Deep dynamics model.
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11. Applying LPJ-GUESS on the Arctic: A model evaluation and benchmarking study
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Warming in the Arctic occurs at a much higher rate than the global average, which has a considerable impact on the Arctic terrestrial carbon cycle. Permafrost thawing can release substantial amounts of carbon, whilst tundra shrubification and tree-line advance, on the other hand, may compensate for this. READ MORE
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12. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. READ MORE
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13. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. READ MORE
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14. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets
University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utvecklingAbstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity. Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE
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15. Expressibility of multiscale physics in deep networks
University essay from Umeå universitet/Institutionen för fysikAbstract : Motivated by the successes in the field of deep learning, the scientific community has been increasingly interested in neural networks that are able to reason about physics. As neural networks are universal approximators, they could in theory learn representations that are more efficient than traditional methods whenever improvements are theoretically possible. READ MORE
