Sökning: "deep space"

Visar resultat 1 - 5 av 276 uppsatser innehållade orden deep space.

1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Nikolaos Staikos; [2024]
   Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

3. 2. En modern porträttering av en levande myt : En tematisk analys av The New York Times från 2017 till 2023 kring UFO-fenomenet

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för medier och journalistik (MJ)

   Författare :Anton Aldén; Magnus Bruhn; [2024]
   Nyckelord :UFO; UAP; Flying Saucers; Myth; Journalism;

   Sammanfattning : Over the last years the UFO-phenomenon has created considerable attraction in US-media. The reasons are twofold: 1) Since the fall of 2017 there has been an increased official acknowledgement of the phenomena 2) Several spectacular revelations have been publicized, both triggering a lager media coverage. LÄS MER

4. 3. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study

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

   Författare :Jonna Matthiesen; [2023-10-24]
   Nyckelord :Compression; Deep Learning; DNN; Hyperparameters; Optimization; Pruning; Hyperparameter Optimisation; Hyperparameter Tuning;

   Sammanfattning : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. LÄS MER

5. 4. Användning av kalvningssystem i svensk dikalvsproduktion

   Master-uppsats, SLU/Department of Biosystems and Technology (from 130101)

   Författare :Julia Ancher; [2023]
   Nyckelord :diko; dikalvsproduktion; kalvningssystem; skötselrutiner kring kalvning; djurvälfärd;

   Sammanfattning : Dikons uppgift är att föda upp friska kalvar som växer och producerar bra kött. Inhysning och skötselrutiner kring kalvning är därför en central del dikalvsproduktionen för att ge kalven en bra start i livet. LÄS MER

7. 5. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

   Författare :Javier Ferre Martin; [2023]
   Nyckelord :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.;

   Sammanfattning : 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. LÄS MER