The New York Times

Treating Chronic Pain Is Hard. An Experimental Approach Shows Promise.

A guitarist in a death metal band was one of several people who found that personalized deep brain stimulation eased their pain and helped them reduce pain medication. A guitarist in a death metal ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
C&EN

Single-Molecule SERS Detection of Phosphorylation in Serine and Tyrosine Using Deep ...

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Research Unit of Disease Networks, Faculty of Biochemistry and Molecular ...
GitHub

Enhancing EV Cost Prediction Using AutoEncoder-Based Feature Learning

Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...
IEEE

UL-VAE: An Unsupervised Learning Approach for Zero-day Malware Detection Using Variational ...

Abstract: With the rapid growth of Internet of Things (IoT) technology, there is an increase in the dangers of malware attacks. The underlying threat in these attacks is invading people's privacy and ...
Frontiers

Deep learning-based feature selection for detection of autism spectrum disorder

Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in communication, social interactions, and repetitive behaviors. The heterogeneity of ...
Frontiers

A deep learning model for carotid plaques detection based on CTA images: a two stepwise ...

Objective: To develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model. Methods: We retrospectively ...
IEEE

A Malware Detection Approach Using Malware Images and Autoencoders

Abstract: Most machine learning-based malware detection systems use various supervised learning methods to classify different instances of software as benign or malicious. This approach provides no ...
sei.cmu

Quantum Approach to Inverse Malware Eradication

The goal of this presentation is to inform people that using a 'pass only known good' methodology through a quantum approach simplifies the solution, and the future of information security will ...