Sökning: "neural division"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden neural division.

1. 1. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Fredrik Salomon-Sörensen; [2023]
   Nyckelord :Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

   Sammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER

3. 2. Limitations of cGAN in functional area division for interior design

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

   Författare :Julia Sommarlund; [2022]
   Nyckelord :Neural network; Conditional generative adversarial network; Interior design; Automated design; Neurala nätverk; Villkorligt generativt motståndsnätverk; Interiördesign; Automatiserad design;

   Sammanfattning : A process that historically has been hard to automate is interior design, mainly due to its subjective nature and lack of obvious guidelines. Scientifically, there is interest to examine if subjective processes can be automated using black box algorithms such as neural networks, as well as corporate interest in this subject to increase efficiency and create systems for automated floor plan design. LÄS MER

4. 3. NoC for Versatile Micro-Code Programmable Multi-Core Processor Targeting Convolutional Neural Networks

   Master-uppsats, Linköpings universitet/Datorteknik

   Författare :Mattias Evaldsson; [2021]
   Nyckelord :;

   Sammanfattning : This thesis investigates building a network-on-chip for a multi-core chip computing convolutional neural networks (CNNs) using Imsys processors in a tree architecture. The division of work on a multi-core chip is investigated. LÄS MER

5. 4. Forecasting Financial Time Series through Causal and Dilated Convolutional Neural Networks

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Lukas Börjesson; [2020]
   Nyckelord :;

   Sammanfattning : In this paper, predictions of future price movements of a major American stock index was made by analysing past movements of the same and other correlated indices. A model that has shown very good results in speech recognition was modified to suit the analysis of financial data and was then compared to a base model, restricted by assumptions made for an efficient market. LÄS MER

7. 5. User Equipment Characterization using Machine Learning

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Vanessa Fakhoury; Xin Zhou; [2019]
   Nyckelord :machine learning; characterization; massive MIMO; beamforming; neural networks; support vector machine; logistic regression; multiclass neural networks; Technology and Engineering;

   Sammanfattning : With the ever increasing demand for higher data rates and reliability, efficient management of cellular networks remains a challenge. Among other technologies, fifth generation systems are expected to tackle this challenge using large electronically controllable antenna arrays operating in the time division duplex mode. LÄS MER