Essays about: "Machine learning for information improvement"

Showing result 1 - 5 of 76 essays containing the words Machine learning for information improvement.

1. 1. 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

3. 2. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development

   University essay from Försvarshögskolan

   Author : Carl Zaff; [2023]
   Keywords : Russian Equipment loss; Russo-Ukrainian War; Method development; Machine learning; Tesseract OCR; Oryxspioenkop; OSINT; Ryssland; Materielförlust; Rysk-ukrainska kriget; Metodutveckling; Maskininlärning; Tesseract OCR; Oryxspioenkop; OSINT;

   Abstract : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. READ MORE

4. 3. Visual Bird's-Eye View Object Detection for Autonomous Driving

   University essay from Linköpings universitet/Datorseende

   Author : Erik Lidman; [2023]
   Keywords : computer vision; machine learning; neural networks; deep learning; autonomous driving; autonomous systems; datorseende; maskininlärning; neuronnät; djupinlärning; autonom körning; autonoma system;

   Abstract : In the field of autonomous driving a common scenario is to apply deep learningmodels on camera feeds to provide information about the surroundings. A recenttrend is for such vision-based methods to be centralized, in that they fuse imagesfrom all cameras in one big model for a single comprehensive output. READ MORE

5. 4. Using Social Media and Personality Predictions to Anticipate Startup Success

   University essay from Lunds universitet/Matematisk statistik

   Author : Daniel Stenson; [2023]
   Keywords : Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

   Abstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE

6. 5. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms

   University essay from KTH/Kemi

   Author : Julia Rune; [2023]
   Keywords : Cell Segmentation; Cellpose; Supervised Machine Learning; MERFISH; Heart Failure; Cellsegmentering; Cellpose; Övervakad Maskininlärning; MERFISH; Hjärtsvikt;

   Abstract : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). READ MORE