Sökning: "sequential model"

Visar resultat 1 - 5 av 232 uppsatser innehållade orden sequential model.

  1. 1. Automatic Semantic Segmentation of Indoor Datasets

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Swaroop Rachakonda; [2024]
    Nyckelord :Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Sammanfattning : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. LÄS MER

  3. 2. Time Series Forecasting on Database Storage

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Pranav Patel; [2024]
    Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

    Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

  4. 3. CNN-LSTM architecture for predicting hazardous driving situations

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Noomi Lindblad; Stefani Platakidou; [2023-10-05]
    Nyckelord :Data science; Machine learning; LSTM; CNN; Vehicle data; Hazardous driving situation; Deep learning;

    Sammanfattning : This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of three-second-long driving snippets from customer and development trucks registered within Europe. LÄS MER

  5. 4. The State of Stateful Serverless Systems

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

    Författare :Ashmitha Ambastha; [2023]
    Nyckelord :Stateful Serverless Systems; Azure Durable Functions; Apache Flink StateFun; Kalix; Cloudburst; Function-as-a-Service; Serverlösa system utan tillstånd; Azure Durable Functions; Apache Flink StateFun; Kalix; Cloudburst; funktion som tjänst;

    Sammanfattning : Serverless computing and Function-as-a-service are popular paradigms that simplify application development by abstracting the development layer from the underlying infrastructure components. These systems work in a pay-as-you-go model and provide an efficient environment for developers to focus entirely on developing their business logic. LÄS MER

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

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Yiu Kei Tang; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER