Essays about: "transferring of data using"

Showing result 1 - 5 of 96 essays containing the words transferring of data using.

  1. 1. Detecting Lithium Brine in Afghanistan Using Spaceborne Hyperspectral Data

    University essay from Göteborgs universitet/Institutionen för geovetenskaper

    Author : Torpikay Azizi; [2023-08-18]
    Keywords : PRISMA Hyperspectral data; lithium mineral deposits; lithium brine-rich deposits; Dashti-e- Nawar; boron deposits; Principal Component Analysis PCA ; supervised and unsupervised classification; spectral matching; spectral profile analysis; visible-near-infrared VNIR ; short-wave infrared SWIR Gypsum; Hectorite; Kaolinite; Lepidolite; lithium carbonate; lithium chloride;

    Abstract : The purpose of this thesis is to utilize hyperspectral remote sensing technology for the identification and evaluation of lithium mineral deposits in Afghanistan. Afghanistan boasts unique geological formations with substantial potential for lithium resources beneath its land crust. READ MORE

  3. 2. LiDAR Perception in a Virtual Environment Using Deep Learning : A comparative study of state-of-the-art 3D object detection models on synthetic data

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

    Author : Samuel Skoog; [2023]
    Keywords : Object Detection; LiDAR; CARLA; Deep Learning; Autonomous Vehicles; Objektdetektering; LiDAR; CARLA; Djupinlärning; Autonoma fordon;

    Abstract : Perceiving the environment is a crucial aspect of autonomous vehicles. To plan the route, the autonomous vehicle needs to be able to detect objects such as cars and pedestrians. This is possible through 3D object detection. However, labeling this type of data is time-consuming. READ MORE

  4. 3. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

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

    Author : Simon Ekman von Huth; [2023]
    Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

    Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE

  5. 4. Evaluation of critical instrument parameters for the transfer of LC-MS quantification methods between LC-MS/MS and Orbitrap MS

    University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

    Author : Anna Stepanova; [2023]
    Keywords : ;

    Abstract : Transferring analytical methods is crucial in chemical laboratories. The need for the transfer may arise for different reasons such as sharing data between different laboratories, replacement or upgrade of analytical instrument, or limited instruments available etc. The performance and sensitivity of different instruments may vary. READ MORE

  6. 5. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

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

    Author : Kristoffer Westring; Linus Svensson; [2023]
    Keywords : FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

    Abstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE