Essays about: "thesis for network for multiple"

Showing result 1 - 5 of 549 essays containing the words thesis for network for multiple.

  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. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Sofia Leksell; [2024]
    Keywords : Federated Learning; Adversarial Attacks; Regression; Classification;

    Abstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. READ MORE

  4. 3. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Sofia Leksell; [2024]
    Keywords : Federated Learning; Adversarial Attacks; Regression; Classification;

    Abstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. READ MORE

  5. 4. 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

  6. 5. Using search based methods for beamforming

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Adam Bergman Karlsson; [2024]
    Keywords : Beamforming; Artificial Intelligence; AlphaZero; Radio Resource Management; Monte Carlo Tree Search;

    Abstract : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. READ MORE