Retraction Note: Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors

Nishanth Adithya Chandramouli; Sivaramakrishnan Natarajan; Amal H. Alharbi; Subhash Kannan; Doaa Sami Khafaga; Sekar Kidambi Raju; Marwa M. Eid; El-Sayed M. El-kenawy

doi:10.1038/s41598-025-18020-y

Retraction Note: Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors

N Nishanth Adithya Chandramouli S Sivaramakrishnan Natarajan A Amal H. Alharbi S Subhash Kannan D Doaa Sami Khafaga S Sekar Kidambi Raju M Marwa M. Eid E El-Sayed M. El-kenawy

Download PDF View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published September 09, 2025

DOI 10.1038/s41598-025-18020-y

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

N

Nishanth Adithya Chandramouli

S

Sivaramakrishnan Natarajan

A

Amal H. Alharbi

S

Subhash Kannan

D

Doaa Sami Khafaga

S

Sekar Kidambi Raju

M

Marwa M. Eid

E

El-Sayed M. El-kenawy

Retraction Note: Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors

Article Details

Journal Info

Authors (8)

Related Articles from this Journal

AI models of unstable flow exhibit hallucination

The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep

Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean

Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game

An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation