Avancerad sökning

Visar resultat 1 - 5 av 9 uppsatser som matchar ovanstående sökkriterier.

  1. 1. From Software Engineer to being a Machine Learning Engineer - A Study on Skills and Responsibilities

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Sai Manvith Markonda; Sai Pranay Reddy Pannala; [2023]
    Nyckelord :Machine Learning; Skills; Responsibilities; ML Design and Engineer  ;

    Sammanfattning : Background: With significant advancements in Machine Learning, the most advancing technology in multiple domains regardless of the field. It has primarily been the critical component of artificial intelligence and is used in a wide range of artificial Intelligence applications. LÄS MER

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

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Aanchal Upreti; [2023]
    Nyckelord :Software Engineering;

    Sammanfattning : 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. LÄS MER

  4. 3. Analyzing user feedback written inmultiple languages and automatically identifyingrequirements from that feedback

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Bhargav Sakamuri; Rithika Vardhan; [2023]
    Nyckelord :Multi-lingual; NLP; Requirements; Automation; Tweets;

    Sammanfattning : Background. Requirements gathering is the most important and often an errorprone task in the software development cycle. There is no perfect procedure to getthe requirements for the developing product. Every organization employs its way ofextracting requirements, and the most common way is to extract requirements fromuser stories. LÄS MER

  5. 4. AI Enabled Cloud RAN Test Automation : Automatic Test Case Prediction Using Natural Language Processing and Machine Learning Techniques

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jeet Santosh Nimbhorkar; [2023]
    Nyckelord :Test Automation; Natural Language Processing; Machine Learning; Keyword Extraction; Prediction; Testautomatisering; Naturlig Språkbehandling; Maskininlärning; Nyckelord Extraktion; Förutsägelse;

    Sammanfattning : The Cloud Radio Access Network (RAN) is a technology used in the telecommunications industry. It provides a flexible, scalable, and costeffective solution for managing and delivering seamless wireless network services. LÄS MER

  7. 5. Test Case Selection from Test Specifications using Natural Language Processing

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Alok Gupta; [2023]
    Nyckelord :Cloud RAN; Telecommunication; Test Automation; Artificial Intelligence; Machine Learning; Natural Language Processing; Keyword Extraction; Prediction;

    Sammanfattning : The Cloud Radio Access Network (RAN) is a groundbreaking technology employed in the telecommunications industry, offering flexible, scalable, and cost-effective solutions for seamless wireless network services. However, testing Cloud RAN applications presents significant challenges due to their complexity, potentially leading to delays and increased costs. LÄS MER