Essays about: "Mobile learning"

Showing result 6 - 10 of 327 essays containing the words Mobile learning.

  1. 6. 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

  3. 7. Digital Front End Algorithms for Sub-Band Full Duplex

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

    Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
    Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

    Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

  4. 8. Deep Reinforcement Learning in Games Based on Extracted Features

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

    Author : Emilia Sjögren; Erika Weidenhaijn; [2023]
    Keywords : ;

    Abstract : FlappyBird is a popular mobile game that captured many people's attention because itwas easy to understand but difficult to perform --- players were often right on the edge ofsucceeding, which led to a strong desire to play again. The purpose of this project is to investigatethe possibility of using a neural network trained with reinforcement learning to play the game usingextracted features rather than raw images. READ MORE

  5. 9. Usage of End-to-End Machine Learning for Self-Driving Vehicle

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Pratchaya Khansomboon; [2023]
    Keywords : ;

    Abstract : This thesis is about the usage of a machine learning model for self-driving vehicles running on a small mobile computing unit, in this case, a smartphone. We use NVIDIA’s PilotNet model which is a simple feed-forward machine learning model for steering a vehicle. READ MORE

  6. 10. Explainable AI for Multi-Agent Control Problem

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Hanna Prokopova; [2023]
    Keywords : ;

    Abstract : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. READ MORE