Essays about: "improve machine learning algorithm"

Showing result 1 - 5 of 158 essays containing the words improve machine learning algorithm.

1. 1. Feature Selection for Microarray Data via Stochastic Approximation

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

   Author : Erik Rosvall; [2024-03-18]
   Keywords : feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

   Abstract : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. READ MORE

3. 2. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Li Ang Hu; Long Ma; [2023]
   Keywords : Imbalanced datasets; Swedish text financial datasets; Accuracy; Matthews correlation coefficient; Recall; Multinomial Naive Bayes; SMOTE; TomekLinks; Performance optimization;

   Abstract : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. READ MORE

4. 3. LEO Satellite Connectivity for flying vehicles

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

   Author : Jinxuan Chen; [2023]
   Keywords : LEO satellite network; satellite connectivity strategy; Nash-SAC; flying vehicles; LEO:s satellitnät; Strategi för satellitanslutning; Nash-SAC; flygande fordon;

   Abstract : Compared with the terrestrial network (TN), which can only support limited covered areas, satellite communication (SC) can provide global coverage and high survivability in case of an emergency like an earthquake. Especially low-earth orbit (LEO) satellites, as a promising technology, which is integral to achieving the goal of global seamless coverage and reliable communication, catering to 6G’s communication requirements. READ MORE

5. 4. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : TARUN NATTALA; [2023]
   Keywords : CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

   Abstract : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. READ MORE

6. 5. Radio Environment Compensation in a Narrowband IoT Positioning System : Using Radio Signal Metrics Between Stationary Devices

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

   Author : Elin Berglund; [2023]
   Keywords : Positioning; IoT; machine learning; range estimation; Positionering; IoT; maskininlärning; avståndsuppskattning;

   Abstract : The Internet of Things (IoT) has emerged as a powerful tool for meeting our need to collect information about and interact with our environments. One important aspect of this technology is positioning which imposes requirements on both the energy consumption and the arrangement of the systems. READ MORE