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Showing result 16 - 20 of 697 essays matching the above criteria.
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16. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE
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17. A Solution for Better Time Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Accurately tracking employee work hours is a vital aspect of managing any organization, regardless of its size. Time reporting serves as a valuable source of information for management teams, enabling them to effectively plan and manage projects, allocate resources, monitor budgets, and track overall productivity. READ MORE
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18. Design space exploration for co-mapping of periodic and streaming applications in a shared platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As embedded systems advance, the complexity and multifaceted requirements of products have increased significantly. A trend in this domain is the selection of different types of application models and multiprocessors as the platform. READ MORE
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19. Empirical Evaluation of Construction Methods for Relaxed Decision Diagrams in Scheduling
University essay from Linköpings universitet/Programvara och systemAbstract : Decision diagrams have recently emerged as a promising approach for difficult scheduling problems, along with other challenging discrete optimization problems. Decision diagrams can offer a compact representation of the solution space, and has the ability to capture complex constraints that are hard to model or express in other techniques. READ MORE
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20. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The Unit Commitment Problem (UCP) poses a significant challenge in optimizing powergeneration schedules within complex and dynamic energy systems. This study explores theapplication of Genetic Algorithms (GAs) as a promising approach to address UCP, their ability tonavigate complex solution spaces and adapt to changing operational conditions. READ MORE