Essays about: "distribution transformers"

Showing result 1 - 5 of 36 essays containing the words distribution transformers.

  1. 1. Classifying femur fractures using federated learning

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Hong Zhang; [2024]
    Keywords : Atypical femur fracture; Federated Learning; Neural Network; Classification;

    Abstract : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. READ MORE

  3. 2. Approximating Reasoning with Transformer Language Models

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Daniel Enström; Viktor Kjellberg; [2023-10-19]
    Keywords : natural language processing; nlp; automated reasoning; logic; inference; machine learning; transformers; language models; BERT; BART;

    Abstract : We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability problems in propositional logic originally created by Zhang et al. (2022). READ MORE

  4. 3. Regularizing Vision-Transformers Using Gumbel-Softmax Distributions on Echocardiography Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alfred Nilsson; [2023]
    Keywords : Deep Learning; Vision-Transformers; Echocardiography; Feature Selection; Gumbel-Softmax; Concrete Autoencoders; Regression; Djupinlärning; Vision-Transformers; Ekokardiografi; Feature Selection; GumbelSoftmax; Concrete Autoencoders; Regression;

    Abstract : This thesis introduces an novel approach to model regularization in Vision Transformers (ViTs), a category of deep learning models. It employs stochastic embedded feature selection within the context of echocardiography video analysis, specifically focusing on the EchoNet-Dynamic dataset. READ MORE

  5. 4. Shortcut Transformers and the Learnability of Automata

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Willeke Martens; [2023]
    Keywords : transformers; modern neural networks; automata; expressivity; learnability; regular languages; solvable groups;

    Abstract : Transformers have emerged as a powerful architecture for various tasks in natural language processing, computer vision, and multi-modal domains. Despite their success, understanding the computational capabilities and limitations of transformers remains a challenge. READ MORE

  6. 5. Coincidence Factor and Battery Energy Storage Systems for Industrial Electrical Power Supply : A Field Study of Building 178 at Scania AB, Södertälje

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lucas Wallhager; [2023]
    Keywords : Coincidence factor; Industrial electric load diversity; Velander; Normal distribution; Herman-Beta; Battery energy storage system; Sammanlagringsfaktor; Industriell elförbrukning; Velander; Herman-Beta; Batterier för energilagring;

    Abstract : Coincidence factors have been researched since the late 1800s, as they displays the ratio between the maximum coincidencental power usage of a system, and the sum of the maximum individual loads of the system. Accurate estimations of the highest coincidental power usage allow for minimal material usage when constructing substations, transformers, overhead lines, and cables for power transmission. READ MORE