Essays about: "multi processing"

Showing result 1 - 5 of 350 essays containing the words multi processing.

1. 1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Anastasia Sarelli; [2024]
   Keywords : Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

   Abstract : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. READ MORE

3. 2. An evaluation of GPU virtualization

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Josef Vilestad; [2024]
   Keywords : gpu; virtualization; mig; siov;

   Abstract : There has been extensive research and progress on virtualization on CPUs for a while. More recently the focus on GPU virtualization has increased as processing power doubles roughly every 2.5 years. Coupled with advances in memory management and the PCIe standard the first hardware assisted virtual solutions became available in the 2010s. READ MORE

4. 3. Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Liam Le Tran; Edina Dedovic; [2023-10-24]
   Keywords : Facial Expression Recognition; FACS; Action Units; styleGAN2-ada; synthetic data; Image Quality Assessment; Multi-stage Pre-training; Pipeline Processing; Semi-automated Human Annotation;

   Abstract : Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the impact of treatment on emotions and social functioning. This thesis aims to improve performance of a FER model using large scale of synthetic data. READ MORE

5. 4. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

   Author : Marie-Ange Stefanos; [2023]
   Keywords : Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

   Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE

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

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

   Author : Jiayi Feng; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE