Essays about: "classification of natural resources"

Showing result 1 - 5 of 32 essays containing the words classification of natural resources.

  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. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Yiu Kei Tang; [2023]
    Keywords : ;

    Abstract : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. READ MORE

  4. 3. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Author : Jiayi Feng; [2023]
    Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

  5. 4. Sentiment Analysis for Swedish : The Impact of Emojis on Sentiment Analysis of Swedish Informal Texts

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Lovisa Berggren; [2023]
    Keywords : sentiment analysis; NLP; natural language processing; emojis; swedish;

    Abstract : This study investigates the use of emojis in sentiment analysis for the Swedish language, with the objective to assess if emojis improve the performance of the model. Sentiment analysis is an NLP classification task aimed at extracting people's opinions, sentiments, and attitudes from language. READ MORE

  6. 5. A COMPARATIVE ANALYSIS OF NLP ALGORITHMS FOR IMPLEMENTING AI CONVERSATIONAL ASSISTANTS : Comparative Analysis of NLP Algorithms for NLI

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

    Author : Aanchal Upreti; [2023]
    Keywords : Software Engineering;

    Abstract : The rapid adoption of low-code/no-code software systems has reshaped the landscape of software development, but it also brings challenges in usability and accessibility, particularly for those unfamiliar with the specific components and templates of these platforms. This thesis targets improving the developer experience in Nokia Corporation's low-code/no-code software system for network management through the incorporation of Natural Language Interfaces (NLIs) using Natural Language Processing (NLP) algorithms. READ MORE