Essays about: "thesis on computer science networks"

Showing result 1 - 5 of 36 essays containing the words thesis on computer science networks.

1. 1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Cina Arjmand; [2023]
   Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

   Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

3. 2. Fog detection using an artificial neural network

   University essay from Lunds universitet/Matematisk statistik

   Author : Quanwei Li; Tiancheng Ma; [2023]
   Keywords : Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

   Abstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE

4. 3. Swedish Stock and Index Price Prediction Using Machine Learning

   University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Author : Henrik Wik; [2023]
   Keywords : Stock Price Prediction; Machine Learning; Time Series Analysis; Linear Regression; K-Nearest Neighbors; Random Forest; Support Vector Machines; Neural Networks;

   Abstract : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. READ MORE

5. 4. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Osama Mahmudi; Shubhra Mishra; [2023]
   Keywords : Adversarial Learning; Motor Imagery; BCI; EEG; Machine Learning;

   Abstract : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. READ MORE

6. 5. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning

   University essay from Uppsala universitet/Industriell teknik

   Author : Mohammad Al-Jaff; [2023]
   Keywords : Multimodal machine learning; Representation learning; Self-supervised learning; contrastive learning; computer vision; computational biology; bioinformatics;

   Abstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE