Essays about: "library classification"

Showing result 1 - 5 of 60 essays containing the words library classification.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  3. 2. 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

  4. 3. Erratic Patterns : Unravelling the Cultural Transfers of Library Classifiers

    University essay from Uppsala universitet/Institutionen för ABM

    Author : Keeley Lindkvist; [2023]
    Keywords : Library classifier; library classification; classification; cultural transfer; classification and culture; Library of Congress Classifi-cation Scheme LCC ; knowledge organisation; knowledge organization; The Swedish Institute in Rome ISVRoma ; Biblioteksklassificerare; biblioteksklassificering; kulturell överföring; klassificering och kultur; Library of Congress klassificeringsschema LCC ; kunskapsorganisation; Svenska institutet i Rom ISVRoma ;

    Abstract : This thesis investigates the oft-overlooked influence of the classifier's input during the assignment of library classifications and draws upon cultural transfer theory to shed light on the underlying principles that guide the process. Classifiers' personal knowledge, experience, and beliefs, have a critical role in determining the 'aboutness' of a work and its subsequent classification. READ MORE

  5. 4. “People seem to understand numbers better than the alphabet” : Experiences and effects of reclassification from SAB to Dewey at a university library

    University essay from Lunds universitet/Avdelningen för ABM, digitala kulturer samt förlags- och bokmarknadskunskap

    Author : Julia Ptasznik; [2023]
    Keywords : Library; Information; Knowledge Organization; Classification Systems; SAB; Dewey Decimal Classification; DDC; DDK; Infrastructure; Infrastructure Theory; Cultural Sciences;

    Abstract : This thesis is an analysis of the effects and experiences of reclassification from the Swedish SAB system to the Dewey Decimal Classification at one of the faculty libraries at Lund University. The background for this study is the National Library report from 2006 where advantages and disadvantages of switching to the DDC were outlined. READ MORE

  6. 5. Building a Deep Neural Network From Scratch

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

    Author : Fredrik Sundström; Samppa Raittila; [2023]
    Keywords : ;

    Abstract : Machine learning is becoming increasingly common in our society and is predictedto have a major impact in the future. Therefore, it would be both interesting and valuable tohave a deep understanding of one of the most used algorithms in machine learning, deepneural network. READ MORE