Essays about: "evaluation metrics"

Showing result 26 - 30 of 548 essays containing the words evaluation metrics.

  1. 26. Evaluating Thread network performance, locating and strengthening weak radio links

    University essay from Linköpings universitet/Fysik, elektroteknik och matematik; Linköpings universitet/Tekniska fakulteten

    Author : André du Rietz; Elias Salo; [2023]
    Keywords : Internet of Things; IoT; Thread network; Evaluating Thread Network;

    Abstract : In the fast-developing world we are living in, a tech phenomenon known as the Internet of Things (IoT) has taken hold. It has seen a lot of development over the past few decades, and today there are an estimated 30 billion IoT devices active. IoT is a machine-to-machine network that senses the world with the help of sensors. READ MORE

  2. 27. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Jammithri Kotapati; Suma Vendrapu; [2023]
    Keywords : Artificial Intelligence; Cryptocurrency Prices; News Articles; Sentiment Analysis; Social Media Posts. ii;

    Abstract : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. READ MORE

  3. 28. Improved U-Net architecture for Crack Detection in Sand Moulds

    University essay from Högskolan i Gävle/Datavetenskap

    Author : Husain Ahmed; Hozan Bajo; [2023]
    Keywords : U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

    Abstract : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. READ MORE

  4. 29. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Wisam Orabi Alkhen; [2023]
    Keywords : Machine learning; Business descriptions; Search scope reduction; Relevant business terminology; Data analysis.;

    Abstract : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. READ MORE

  5. 30. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Sai Nikhil Boyapati; [2023]
    Keywords : Auto-Scaling; Auto-Scaling Recommendations; Cloud Environment; K-Nearest Neighbors; Machine Learning; Recommendation Systems; Random Forests; Support Vector Machines;

    Abstract : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. READ MORE