Sökning: "Computational resource"

Visar resultat 1 - 5 av 101 uppsatser innehållade orden Computational resource.

1. 1. Groundwater Modelling in southeast Cambodia - Facing irrigation and groundwater level changes during a pandemic

   Master-uppsats, Lunds universitet/Avdelningen för Teknisk vattenresurslära

   Författare :Svea Bertolatus; [2024]
   Nyckelord :Cambodia; GMS Modflow; Groundwater modelling; irrigation; Mekong; Prey Veng; Svay Rieng; Technology and Engineering; Earth and Environmental Sciences;

   Sammanfattning : In the Mekong region, sustainable water resource management is a significant challenge for all countries involved. In Cambodia, where rice production is crucial for household food security and export, groundwater is increasingly used for irrigation during the dry season, leading to higher rice yields. LÄS MER

3. 2. Resource Usage Prediction for Parameter Sweeps with Biochemical System Simulations

   Master-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskap

   Författare :Minjia Zhou; [2024]
   Nyckelord :;

   Sammanfattning : Exploring the behavior of biochemical systems when subjected to certain internal and external changes is fascinating, and these variations can be investigated through computational simulations. However, the computational cost of simulations is often quite high, necessitating an understanding of the computational requirements and resource utilization of these simulations. 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. IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Maria Irena Szawerna; [2023-06-19]
   Nyckelord :language variation; Polish; diachronic linguistics; part-of-speech tagging; lemmatization; corpus linguistics;

   Sammanfattning : Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural language increases the robustness of NLP models and their usefulness in real-life applications; simultaneously, detecting and describing variation and trends that govern it is one of the main goals of sociolinguistics and historical linguistics, meaning that some of the advances in NLP can contribute to these fields as well. LÄS MER

7. 5. 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