TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

Kidney Disease Prediction Using Multiple LSTM Neural Networks

Abstract: Over the last few years, artificial intelligence in healthcare has transformed everything regarding disease prediction and diagnosis. Artificial intelligence has proven useful in analyzing ...
Frontiers

Cross-disorder insights into neuroinflammation and executive function deficits in psychiatry, epilepsy, and HIV-associated neurocognitive decline

Research on neuroinflammatory processes has revolutionized our understanding of the pathophysiology underlying a range of neuropsychiatric and neurological ...
GitHub

Dense_NN is an EigenNET project for training dense-type neural networks implemented in C++.

A typical R and Dense_NN training workflow is described by the following images or here as a YouTube video. Dense_NN.exe is installed in the bin directory. The ...
IEEE

Cross-LSTM: Integrating Cross Attention With Long Short-Term Memory Neural Networks in Estimating Joint Moments From Wearable Sensors

Abstract: Precise estimation of joint moments is essential for designing rehabilitation interventions and optimising the control of assistive devices. Current methods, including physics-based ...