C&EN

Mass Conservative Solution of the Population Balance Equation Using the Least-Squares Spectral Element Method

Department of Chemical Engineering and Department of Energy and Process Engineering, Norwegian University of Science and Technology, N-7491 Trondheim, Norway Article Views are the COUNTER-compliant ...
IEEE

DynKDD: Dynamic Graph-Based Network Intrusion Detection Using Graph Neural Networks

Abstract: The inability to capture the temporal dynamics of network interactions limits traditional intrusion detection systems (IDSs) in detecting sophisticated threats that evolve over time. This ...
IEEE

MCGS-ReID: A Visible-Infrared Vehicle Reidentification Method Using Modal-Cross Graph Sampler

Abstract: With the rapid development of Earth observation technology and UAV technology, utilizing UAVs equipped with various sensors for cross-modal vehicle reidentification has become one of the ...
C&EN

Taking Another Look at the van der Waals Equation of State–Almost 150 Years Later

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
How-To Geek on MSN

How to Use the Python Statistics Module

The Python statistics module is a built-in module for performing simple statistical calculations. Since it's part of the standard Python library, it's available in every Python installation. To access ...
IEEE

CEGen: Cause-Effect Graph Generation Using Large Language Models

Abstract: Black-box testing is vital for software quality assurance, focusing on system behavior without internal details. Cause-Effect Graphs (CEGs) visualize relationships between inputs and outputs ...
IEEE

AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning

Abstract: Viral infections have emerged as significant public health concerns for decades. Antiviral drugs, specifically designed to combat these infections, have the potential to reduce the disease ...
IEEE

Link Prediction in Educational Graph Data to Predict Elective Course using Graph Convolutional Network Model

Abstract: Personalized learning has achieved the attention of many researchers in the Education field. Personalized learning is a teaching model in which students (learners) have a central role in the ...
IEEE

Accelerated sensor position selection using graph localization operator

Abstract: This paper addresses the problem of finding optimal sensor placement, i.e., determining F sensor positions from N possible locations. We propose a sensor selection method based on the ...
IEEE

Identifying Fake Accounts on Social Media Using Graph Neural Networks

Abstract: We proposed a multimodal machine learning approach to identify fake accounts on social media platforms. First, we employed Support Vector Machine (SVM) to analyze the activity status of ...
IEEE

Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis

Abstract: Anatomical segmentation is a fundamental task in medical image computing, generally tackled with fully convolutional neural networks which produce dense segmentation masks. These models are ...
IEEE

Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset

Abstract: Sign Language Recognition (SLR) represents a revolutionary technology aiming to establish communication between hearing impaired and non-hearing impaired communities, surpassing traditional ...