Sökning: "network optimization."
Visar resultat 6 - 10 av 562 uppsatser innehållade orden network optimization..
6. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER
7. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. LÄS MER
8. Improvement of anautomatic networkdrawing algorithm in thecontext of utility networks
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The European Union’s ambitious climate targets necessitate substantial reductions in greenhouse gas emissions, particularly within the heating and cooling sector, which accounts for a significant portion of energy consumption. District Heating and Cooling (DHC) systems emerge as a key solution for decarbonizing this sector by enabling high efficiency heat production and the integration of renewable and carbon-neutral energy sources. LÄS MER
9. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. LÄS MER
10. Optimization of the Supply Chain Network design by using scenario planning to build resilience.
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Different geopolitical tensions, economic upheavals and operational instability make the logistics network challenging to manage against disruptions. These events can make the network see an escalation in cost and resources needed, and the time to recover from these disruptions and stabilize the network. LÄS MER