Journal of Medical Internet Research

Methods for Analytical Validation of Novel Digital Clinical Measures: Implementation Feasibility Evaluation Using Real-World Datasets

Our findings in particular support the use of CFA to assess the relationship between a novel digital measure and a COA reference measure. The observed impact of AV study design factors on the ...
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 technology and inclusive education. In an attempt to close that gap, I developed a ...
GitHub

QuantumStock - Advanced AI Stock Price Prediction System

QuantumStock is a cutting-edge, AI-powered stock price prediction system that harnesses the power of quantum-inspired algorithms and advanced LSTM neural networks with attention mechanisms. This ...
IEEE

Predicting Energy Losses in Distributed Networks Using LSTM Models

Abstract: This paper proposes a methodology for predicting electrical energy losses in distributed electrical networks. In essence, a model employing a neural network named Long Short-Term Memory ...
GitHub

HMAC-based key derivation function (HKDF) standalone implementation using pure Python.

This library contains a pure-Python implementation of the HMAC-based key derivation function (HKDF) as specified in RFC 5869. The order and names of arguments within the function signatures in this ...
IEEE

Evaluation of LSTM, GRU, and ANFIS Models for Ankle Angle and Ankle Moment Prediction Using Biomechanical Data

Abstract: Accurate prediction of joint angles and moments is crucial for understanding human gait and developing assistive technologies, such as exoskeletons and prosthetics. This study compares the ...