Sökning: "ensemble learning"
Visar resultat 21 - 25 av 218 uppsatser innehållade orden ensemble learning.
21. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER
22. EV - charger availability prediction based on machine learning
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : In response to the rapid growth of electric vehicles (EVs), our research focuses on the critical need for efficient management of charging infrastructure to facilitate the widespread adoption of EVs. Thisresearch leverages historical charging data as a foundation for predicting charging station availability. LÄS MER
23. Assessment of building renovations using Ensemble Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the context of global warming, to reduce energy consumption, an unavoidable policy is to renovate badly-isolated buildings. However, most studies concerning efficiency of renovation work do not rely on energy data from smart meters but rather on estimates. LÄS MER
24. Counterfeit product grouping - a cluster ensemble approach
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. LÄS MER
25. Recognition of Handwritten Swedish Sentences With Deep Learning
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This study attempts the task of handwritten text recognition within the context of the Swedish language. It examines the applicability of deep neural networks to comprehend handwritten Swedish texts, specifically leveraging the Labors Memory Dataset. LÄS MER