Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Ecosystem-agnostic edge camera deploys in 1 minute and delivers enterprise AI capabilities at cost of a basic vision sensor, enabling ...

Abstract: Wafer maps are extremely critical data that need to be carefully analyzed for quality control and yield improvement. A wafer bin map (WBM) presents the chip probing test results for a wafer, ...

Disassembly is the cornerstone of many cybersecurity solutions (vulnerability search, malware classification, etc.). Deepbits leverages the recent advance in deep learning to develop DeepDi, a fast ...

This repository includes the code of the ECG-DualNet for ECG classification proposed in the paper Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in ...

Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans.

In binary systems, each digit is referred to as a bit (short for binary digit). Each bit can either be 0 or 1, representing no electrical charge (off) or an electrical charge (on). Bits are grouped in ...

Dementia is a complex disease associated with declines in cognitive functions such as memory, thinking, and reasoning. There exists an estimated 47.5 million people globally who are affected by ...

To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary outcomes from fundus images in ophthalmology, evaluating two distinct online-based platforms (Google ...

Background: Flat foot deformity is a prevalent and challenging condition often leading to various clinical complications. Accurate identification of abnormal foot types is essential for appropriate ...