Sökning: "memory consumption"

Visar resultat 1 - 5 av 236 uppsatser innehållade orden memory consumption.

1. 1. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Khalid El Yaacoub; [2024]
   Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

3. 2. Data streaming provenance in advanced metering infrastructures

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Zozk Mohamed; [2023-11-24]
   Nyckelord :Advanced Metering Infrastructure; Ananke; Apache Flink; Göteborg Energi; Provenance; Stream processing; Stream Processing Engine;

   Sammanfattning : Increasing volumes of data in digital systems have made the traditional approach of gathering and storing all the data while analyzing it in bulks at periodic intervals challenging and costly. One such field is the electric grid market, which has started modernizing its aging grids into smart grids where Advanced Metering Infrastructures (AMIs) play a vital role. LÄS MER

4. 3. Compression of Sequential Voxel Data for Sequence-based Animation

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Filip Antonijevic; [2023-10-23]
   Nyckelord :voxel; octree; grid; compression; animation; spatiotemporal; sorting; reordering; DXT; HSV;

   Sammanfattning : This thesis presents a method for lossy compression of voxel data in an animation sequence. Uncompressed voxel animation can become very memory intensive and therefore need a more efficient method to store and render such data. LÄS MER

5. 4. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jiayi Feng; [2023]
   Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

7. 5. Comparing machine learning algorithms for detecting behavioural anomalies

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Fredrik Jansson; [2023]
   Nyckelord :Anomaly Detection; Machine Learning; Behavioural Anomalies;

   Sammanfattning : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. LÄS MER