Essays about: "Optimization Algorithms"
Showing result 1 - 5 of 520 essays containing the words Optimization Algorithms.
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1. Deep reinforcement learning for automated building climate control
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. READ MORE
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2. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : 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. READ MORE
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3. A personalized quasi-passive ankleexoskeleton using human-in-the loop optimization approaches
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Passive ankle exoskeletons have been proven to successfully decrease muscle demand for walking. The movement of the user’s ankle drives a mechanical clutch and spring, which eventually stores and returns mechanical energy to the user. READ MORE
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4. Prioritized Database Synchronization using Optimization Algorithms
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : .... READ MORE
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5. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. READ MORE