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Using Graph Convolutional Network and Message Passing Neural Networks for Solving Unit Commitment and Economic Dispatch in a day ahead Energy Trading Market based on ERCOT Nodal Model.
(2020-05-22)
Various machine learning applications will pre-process graphical representations into a vector of real values which in turn loses information regarding graph structure. Graph Neural Networks (GNNs) are a combination of an ...
PORTABLE ELECTROCHEMICAL SENSING PLATFORM: FROM HARDWARE TO SOFTWARE
(2020-05-21)
Recent advances in the electrochemical biosensors is increasing the popularity of the point of care devices since the electrochemical sensor can provide low cost, portability, detectability, experimental simplicity, and ...
LOW-DOSE CT IMAGE DENOISING USING DEEP LEARNING METHODS
(2021-05-07)
Low-dose computed tomography (LDCT) has raised highly attention since the counterpart, full-dose computed tomography (FDCT), brings potential ionizing radiation influence to patients. However, LDCT still suffers from several ...
SEMI-AUTOMATIC HAND POSE ESTIMATION USING A SINGLE DEPTH CAMERA
(2020-11-30)
This paper addresses the problem of 3D hand pose annotations using a single depth camera. Although hand pose estimation methods rely critically on accurate 3D training data, creating such reliable training data is challenging ...
Context-Aware Gaze-Based Interface for Smart Wheelchair
(2023-05-22)
Human-Computer Interfaces (HCI) is an essential aspect of modern technology that has revolutionized the way we interact with machines. With the revolution of computers and smart devices and the advent of autonomous vehicles ...
EMAuth: A USABLE CONTINUOUS AUTHENTICATION SCHEME
(2023-05-18)
**Please note that the full text is embargoed until 05/12/2025** ABSTRACT: In recent years, wearables have become an integral part of daily life for most
users. Wearables provide a seamless supplement to their main ...
Intuitive Robot Integration via Virtual Reality Workspaces
(2022-11-30)
As robots become increasingly prominent in diverse industrial settings, the desire for an accessible and reliable system has correspondingly increased. Yet, the task of meaningfully assessing the feasibility of introducing ...
Enhancing Health Tweet Classification: An evaluation of Transformer-based models for Comprehensive Analysis
(2023-05-10)
The task of health tweet classification entails identifying whether a given tweet is health-related or not. While existing research in this area has made significant progress in classifying tweets into specific sub-domains ...