IEEE

Word Level Ethiopian Sign Language Recognition Using Hybrid CNN-LSTM Model

Abstract: In this research, we propose a hybrid CNN and LSTM model for word-level Ethiopian sign language recognition. The recognition system has four major components: preprocessing, feature ...
IEEE

SignEase: Real-Time Translation of Indian Sign Language to Text using CNN Architecture

Abstract: The Indian Government’s initiative to standardize Indian Sign Language (ISL) underscores the urgent need for technological solutions that bridge the communication gap between the deaf and ...
IEEE

Hand Gestures Translation System for Sign Language using CNN Models

Abstract: Sign Language serves as an essential and dynamic medium of communication for individuals who are deaf or hard of hearing, offering a sophisticated system of gestures, body language, and ...
IEEE

Sign Language Interpretation Employing SVM and CNN - Comparative Analysis

Abstract: The Sign Language Interpreter is a crucial tool for deaf and mute individuals, but many people struggle to understand sign language. This paper proposes a solution using machine learning ...
JezebelOpinion

Spotify’s Continued Platforming of ICE Is Indefensible

Since 2007, Jezebel has been the Internet's most treasured source for everything celebrities, sex, and politics...with teeth.
CNN

Rep. Fine: Capturing Maduro is an example of ‘putting America first’

Bucks County Sheriff terminates ICE partnership: 'Not going to be allocating our limited resources to doing ICE's job for it' ...
IEEE

Research on ice thickness prediction of power transmission lines based on SO-CNN-LSTM algorithm

One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...
IEEE

Adaptive Multi Stream Modified CNN-LSTM Based Real-Time Sign Language Translation with 3D Pose Estimation and Temporal Modelling

Abstract: Sign language functions as the essential communication tool for hearing and speech-disabled people. There is substantial communication failure occurring between users who know sign language ...
IEEE

Evaluating Lightweight and Deep CNN Architectures for Traffic Sign Recognition

Abstract: Traffic sign recognition (TSR) is a critical component of autonomous driving and Advanced Driver Assistance Systems (ADAS) that demands a careful balance between computational efficiency and ...
IEEE

Depthwise Convolution with Winograd Algorithm for Efficient CNN Acceleration

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...