Essays about: "Deep neural networks"

Showing result 16 - 20 of 862 essays containing the words Deep neural networks.

1. 16. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Egemen Yiğit Kömürcü; [2023]
   Keywords : ;

   Abstract : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. READ MORE

3. 17. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Javier Ferre Martin; [2023]
   Keywords : Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

   Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE

4. 18. Performance analysis: CNN model on smartphones versus on cloud : With focus on accuracy and execution time

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Stegmayr Klas; Johansson Edwin; [2023]
   Keywords : CNN; Deep learning; iOS; Core ML; CIFAR-10;

   Abstract : In the modern digital landscape, mobile devices serve as crucial data generators.Their usage spans from simple communication to various applications such as userbehavior analysis and intelligent applications. However, privacy concerns associatedwith data collection are persistent. READ MORE

5. 19. Transformer Offline Reinforcement Learning for Downlink Link Adaptation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Alexander Mo; [2023]
   Keywords : Link Adaptation; Transformers; Reinforcement Learning; Sequence Modelling; Decision Transformer; Deep Neural Networks; Radio Resource Management; Telecommunication; Länkanpassning; Transformers; Reinforcement Learning; Sekvensmodellering; Beslutsstöd; Djupa neurala nätverk; Dataresurshantering; Telekommunikation;

   Abstract : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). READ MORE

6. 20. A deep learning approach for drilling tool condition monitoring in Raiseboring

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Hedaya Alyousif; [2023]
   Keywords : drilling tool condition; deep learning; drilling signals; CNN; spectrogram; Raisboring;

   Abstract : Drilling tool wear can significantly affect the performance of the drilling operation and add extra cost to it. Accurate detection of drilling tool condition is very important for enabling proactive maintenance, minimizing downtime, and optimizing drilling processes. READ MORE