Results 111 to 120 of about 20,260 (228)

Automated sign language detection and classification using reptile search algorithm with hybrid deep learning

Heliyon
Sign language recognition (SLR) contains the capability to convert sign language gestures into spoken or written language. This technology is helpful for deaf persons or hard of hearing by providing them with a way to interact with people who do not know
Hadeel Alsolai, Leen Alsolai, Fahd N. Al-Wesabi, Mahmoud Othman, Mohammed Rizwanullah, Amgad Atta Abdelmageed   +5 more
doaj   +1 more source

Investigation of Potential Risks in Bio‐Based Food Contact Materials (FCMs) From Microbial Exploitation of Agricultural Wastes: Case Studies of Bacterial Cellulose and Nisin

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT In the context of the circular economy and the increasing demand for safe and sustainable packaging, this work addresses the safety assessment of food contact materials (FCMs) derived from agro‐industrial by‐products. Despite growing interest in these bio‐based materials, the literature still lacks a structured safety‐assessment framework able
Marianna Ciccone, Emmanouil Tsochatzis, Joel Armando Njieukam, Lorenzo Siroli, Davide Gottardi, Rosalba Lanciotti, Francesca Patrignani   +6 more
wiley   +1 more source

Experiences of Caregiver–Child Psychotherapies for Developmental Trauma: A Systematic Review

Child &Family Social Work, Volume 31, Issue 2, Page 1230-1245, May 2026.
ABSTRACT Background Developmental trauma is a commonly used term to describe the psychological difficulties that may result from interpersonal abuse, neglect and adversity in early childhood. This qualitative systematic review synthesized and explored current literature pertaining to caregiver–child psychotherapeutic interventions for developmental ...
Jess Christopher, Luke Groom, Caroline Cresswell   +2 more
wiley   +1 more source

Clinical Outcomes and Non‐Invasive Testing in Metabolic Dysfunction‐Associated Steatohepatitis With Cirrhosis: A Systematic Review

Liver International, Volume 46, Issue 5, May 2026.
ABSTRACT Background and Aims Metabolic dysfunction‐associated steatohepatitis (MASH) with cirrhosis lacks definitive treatments and poses an increasing healthcare burden globally. We undertook a systematic literature review (SLR) to better understand the disease burden in cirrhosis due to MASH.
Hannes Hagström, Chris Hellmund, Jeffrey V. Lazarus, Riku Ota, Mary E. Rinella, Giada Sebastiani, Fotis Tefos, Zobair M. Younossi, Mazen Noureddin   +8 more
wiley   +1 more source

Electroacupuncture Modulates Multiple Pathways for Neuroprotection and Neurorepair in Ischemic Stroke

CNS Neuroscience &Therapeutics, Volume 32, Issue 4, April 2026.
EA exerts therapeutic effects in ischemic stroke through multiple mechanisms: it alleviates acute injury by suppressing neuroinflammation, excitotoxicity, oxidative stress, apoptosis, pyroptosis, ferroptosis, autophagy dysregulation, and blood–brain barrier disruption, while enhancing cerebral blood flow, angiogenesis, and neurogenesis to support ...
Mingyue Zhao, Hangyu Shen, Xu Yan, Xiang Gao, Yuchun Liu, Shengjun Zhou, Jingxian Sun, Jie Sun, Yi Huang   +8 more
wiley   +1 more source

Exploring Sign Language Dataset Augmentation with Generative Artificial Intelligence Videos: A Case Study Using Adobe Firefly-Generated American Sign Language Data

Information
Currently, high quality datasets focused on Sign Language Recognition are either private, proprietary or difficult to obtain due to costs. Therefore, we aim to mitigate this problem by augmenting a publicly available dataset with artificially generated ...
Valentin Bercaru, Nirvana Popescu
doaj   +1 more source

Real-Time Lightweight Sign Language Recognition on Hybrid Deep CNN-BiLSTM Neural Network with Attention Mechanism

International Journal of Advanced Computer Science and Applications
—Sign language recognition (SLR) plays a crucial role in bridging communication gaps for individuals with hearing and speech impairments. This study proposes a hybrid deep CNN-BiLSTM neural network with an attention mechanism for real-time and ...
Gulnur Kazbekova, Zhuldyz S. Ismagulova, Gulmira Ibrayeva, A. Sundetova, Yntymak Abdrazakh, Boranbek Baimurzayev   +5 more
semanticscholar   +1 more source

Comparative Analysis of GRU and LSTM based Models for Pose Estimation in Pakistan Sign Language Recognition [PDF]

This study explores Sign Language Recognition (SLR) within the context of Pakistan Sign Language (PSL), aiming to bridge communication gaps between signers and non-signers.
Amjad, Rafia, Hussain, Akbar, Imran, Ishal, Khan, Safa, Rehman, Mujeeb Ur, Shahbaz, Hirra   +5 more
core   +2 more sources

A Review on Explainable, Federated Multimodal AI for Heart Disease Detection Using ECG, Cardiac Imaging, and Electronic Health Records

Engineering Reports, Volume 8, Issue 4, April 2026.
Heart disease remains one of the most critical health challenges globally, accounting for a substantial number of deaths each year. With ML, DL, and FL coming into existence, early diagnosis of heart disease through ECG, Cardiac Imaging, and EHRs became increasingly feasible.
P. Murali, S. Meenatchi
wiley   +1 more source

Detecting signal transtition in dynamic sign language using R-GB LSTM method

IJAIN (International Journal of Advances in Intelligent Informatics)
Sign Language Recognition (SLR) helps deaf people communicate with normal people. However, SLR still has difficulty detecting dynamic movements of connected sign language, which reduces the accuracy of detection.
Ridwang Ridwang, Adriani Adriani, Rahmania rahmania, Mus’ab Sahrim, Asep Indra Syahyadi, Haris Setiaji   +5 more
doaj   +1 more source