Essays about: "application support"

Showing result 1 - 5 of 1068 essays containing the words application support.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  3. 2. Wireless Sensor Network for Controlling the Varroasis Spread within Bee colonies across a Geographical Region

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Venkat Sai Akhil Dasyam; Saketh Pokuri; [2024]
    Keywords : Wireless Sensor Networks; Monitoring and Control; Precision Beekeeping; Disease spread; Internet of Things.;

    Abstract : Background: With the global decline of honey bee populations, safeguarding these vital pollinators has become crucial. Varroa destructor mites are a primary threat, weakening bees and facilitating the spread of diseases, which can decimate colonies and disrupt ecosystems. READ MORE

  4. 3. Testing a contemplative landscape method to design a stress-reducing therapeutic landscape for the Mellanorrlands Hospice

    University essay from SLU/Dept. of Urban and Rural Development

    Author : Anna Artemeva; [2024]
    Keywords : Therapeutic garden; contemplation; stress reduction; palliative care; hospice centre;

    Abstract : This thesis explores the effectiveness of the Contemplative Landscape Method (CLM) in designing a stress-reducing therapeutic landscape for Mellanorrlands Hospice, aimed at improving the well-being of palliative care patients. With the increasing importance of palliative care due to an ageing population and the growing demand for hospice services, this study addresses the pressing need for therapeutic landscapes that make a positive contribution to the emotional and psychological health of patients and staff. READ MORE

  5. 4. Android Malware Detection Using Machine Learning

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Rahul Sai Kesani; [2024]
    Keywords : Malware; Machine Learning; Random Forest; Sequential Neural Network.;

    Abstract : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. READ MORE

  6. 5. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE