Essays about: "Advanced network"

Showing result 1 - 5 of 314 essays containing the words Advanced network.

  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. Estimating Diffusion Tensor Distributions With Neural Networks

    University essay from Linköpings universitet/Algebra, geometri och diskret matematik; Linköpings universitet/Tekniska fakulteten

    Author : Rimaz Nismi; [2024]
    Keywords : Diffusion; Magnetic Resonance Imaging; MRI; Neural Networks; Optimal transport; Earth mover s distance; Sinkhorn distance;

    Abstract : Magnetic Resonance Imaging (MRI) is an essential healthcare technology, with diffusion MRI being a specialized technique. Diffusion MRI exploits the inherent diffusion of water molecules within the human body to produce a high-resolution tissue image. An MRI image contains information about a 3D volume in space, composed of 3D units called voxels. READ MORE

  4. 3. Competing for the Curb: A Study of the Impact of Ride-Hailing Companies on Traditional Taxi Services

    University essay from Göteborgs universitet/Graduate School

    Author : Hampus Johansson; Sebastian Leijen; [2023-07-19]
    Keywords : Transportation Network Companies TNC ; Internet of Things IoT ; Business Model Canvas BMC ; Business Model Innovation BMI ; Transformation;

    Abstract : In the bustling streets of Sweden, the emergence of Transportation Network Companies (TNCs) has shaken up the taxi industry, leaving incumbents grappling with the need to adapt their business models. While previous research has explored this phenomenon in other parts of the world, little is known about its impact in Sweden. READ MORE

  5. 4. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Deepthy Prasad; Swathi Hampapura Sripada; [2023]
    Keywords : multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

    Abstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE

  6. 5. Integrating Waste Heat from Hydrogen Production Into District Heating

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Fawzi Kayali; [2023]
    Keywords : Hydrogen; Electrolysis; Waste Heat Recovery; Combined Heat and Power Plant; District Heating; Simulation; Sustainable Heating Systems; Technology and Engineering;

    Abstract : The aim of this research is to explore the feasibility of the integration of waste heat from electrolyzers within a Combined Heat and Power (CHP) plant and district heating (DH) network and suggest a practical setup for integration. With the escalating emphasis on the development of green hydrogen through electrolysis powered by renewable energy, a substantial amount of waste heat is generated, typically left unused. READ MORE