1 International Arctic Research Center, University of Alaska Fairbanks, Alaska, USA. 2 International Polar and Earth Environmental Research Center, National Institute of Polar Research, Tokyo, Japan.

This project investigates the application of Deep Neural Networks (DNNs) for automated fault classification and fault location in power transmission lines. Using data generated from a simulated 4-bus ...

Detection and analysis of spontaneous synaptic events is an extremely common task in many neuroscience research labs. Various algorithms and tools have been developed over the years to improve the ...

Abstract: Disease classification plays a crucial role in the field of healthcare, aiding in accurate diagnosis and timely treatment. With the advancements in technology, machine learning algorithms ...

Abstract: This study explores the implementation of lightweight binary classification algorithms on low-cost Field-Programmable Gate Arrays (FPGAs) for medical image analysis. Recognizing the growing ...

Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard [Paper] ...

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...

Introduction: We compare the use of two machine learning (ML) algorithms: random forests (RFs) and k-means clustering (KMC), for classification of presence or absence of amyloid deposition using 18 ...

Intrinsically disordered proteins lack a stable tertiary structure and form dynamic conformational ensembles due to their characteristic physicochemical properties and amino acid composition. They are ...