Essays about: "neural algorithms"
Showing result 1 - 5 of 624 essays containing the words neural algorithms.
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1. Android Malware Detection Using Machine Learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. READ MORE
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2. Predicting inflow and infiltration to wastewater networks based on temperature measurements
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Sewer pipelines are deteriorating due to aging and sub optimal material selections, leading to the infiltration of clean ground and rainfall water into the pipes. It is estimated that a significant portion (up to 40-50%) of the water entering wastewater treatment plants is actually clean infiltrated water. READ MORE
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3. Virtual H&E Staining Using PLS Microscopy and Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE
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4. 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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5. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). READ MORE