Essays about: "Computer networks thesis"

Showing result 11 - 15 of 181 essays containing the words Computer networks thesis.

1. 11. Ocean Exploration with Artificial Intelligence

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

   Author : Sarah Al-Khateeb; Lisa Bodlak; [2021-07-06]
   Keywords : computer science; deep learning; generative adversarial networks; data augmentation; object detection; underwater image; computer vision;

   Abstract : Large and diverse data is crucial to train object detection systems properly and achieve satisfactory prediction performance. However, in some areas, such as ma rine science, gathering sufficient data is challenging and sometimes even infeasible. Working with limited data can result in overfitting and poor performance. READ MORE

3. 12. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models

   University essay from Linköpings universitet/Datorseende

   Author : Christian von Koch; William Anzén; [2021]
   Keywords : deep learning; deep neural network; computer vision; image segmentation; iron ore pelletising plant; furnace slag-detection; U-Net; PSPNet;

   Abstract : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. READ MORE

4. 13. Computer Vision for Camera Trap Footage : Comparing classification with object detection

   University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

   Author : Fredrik Örn; [2021]
   Keywords : computer vision; camera traps; classification; object detection; neural networks; artificial intelligence; machine learning; datorseende; kamerafällor; klassificering; detektering; neurala nätverk; artificiell intelligens; maskininlärning;

   Abstract : Monitoring wildlife is of great interest to ecologists and is arguably even more important in the Arctic, the region in focus for the research network INTERACT, where the effects of climate change are greater than on the rest of the planet. This master thesis studies how artificial intelligence (AI) and computer vision can be used together with camera traps to achieve an effective way to monitor populations. READ MORE

5. 14. Performance Assessment of Networked Immersive Media in Mobile Health Applications with Emphasis on Latency

   University essay from Blekinge Tekniska Högskola

   Author : Emmanuel Adebayo; [2021]
   Keywords : Performance Assessment; Networked Immersive Media; Cloud Virtual Reality; Cloud Network; Edge Network.;

   Abstract : Cloud VR/AR/MR (Virtual Reality, Augmented Reality, and Mixed Reality) services representa high-level architecture that combines large scale computer resources in a data-center structurestyle set up to render VR/AR/MR services using a combination of very high bandwidth, ultralow latency, high throughput, latest 5G (5th Generation) mobile networks to the end users.  VR refers to a three-dimensional computer-generated virtual environment made up ofcomputers, which can be explored by people for real time interaction. READ MORE

6. 15. Data Segmentation Using NLP: Gender and Age

   University essay from Uppsala universitet/Avdelningen för datalogi; Uppsala universitet/Avdelningen för datalogi

   Author : Gustav Demmelmaier; Carl Westerberg; [2021]
   Keywords : Natural language processing; NLP; sentiment analysis; machine learning; demographics; demographic factors; gender; age; ethics;

   Abstract : Natural language processing (NLP) opens the possibilities for a computer to read, decipher, and interpret human languages to eventually use it in ways that enable yet further understanding of the interaction and communication between the human and the computer. When appropriate data is available, NLP makes it possible to determine not only the sentiment information of a text but also information about the author behind an online post. READ MORE