A challenge-based survey of e-recruitment recommendation systems

Y Mashayekhi, N Li, B Kang, J Lijffijt… - ACM Computing Surveys, 2024 - dl.acm.org
E-recruitment recommendation systems recommend jobs to job seekers and job seekers to
recruiters. The recommendations are generated based on the suitability of job seekers for …

Explainable context-aware IoT framework using human digital twin for healthcare

T Vats, SK Singh, S Kumar, BB Gupta, SS Gill… - Multimedia Tools and …, 2023 - Springer
Health, being a vital aspect of a fulfilling life, has experienced advancements through
improved medical services in alignment with Sustainable Development Goal 3 (SDG 3) …

Secure and privacy-preserving decentralized federated learning for personalized recommendations in consumer electronics using blockchain and homomorphic …

BB Gupta, A Gaurav, V Arya - IEEE Transactions on Consumer …, 2023 - ieeexplore.ieee.org
Over the past few years, personalized recommendations have emerged as a fundamental
component of the consumer electronics sector. The rise of decentralized federated learning …

Investigating the barriers towards adoption and implementation of open innovation in healthcare

P Kumari, A Shankar, A Behl, V Pereira… - … Forecasting and Social …, 2024 - Elsevier
Open innovation, characterized by collaborative approaches and knowledge-sharing across
organizational boundaries, holds great promise for transforming healthcare practices …

Analyzing the Interactions between Environmental Parameters and Cardiovascular Diseases Using Random Forest and SHAP Algorithms

G Castronuovo, G Favia, V Telesca… - Reviews in …, 2023 - iris.unibas.it
Background: Cardiovascular diseases (CVD) remain the predominant global cause of
mortality, with both low and high temperatures increasing CVD-related mortalities. Climate …

IoT-V2E: an Uncertainty-Aware Cross-Modal Hashing Retrieval Between Infrared-Videos and EEGs for Automated Sleep State Analysis

J Han, A Men, Y Liu, Z Yao, S Zhang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Estimating and monitoring the sleep states at home using ubiquitous infrared (IR) visual
camera sensors is an essential healthcare problem. Currently, the common challenge of …

LSTM Based Neural Network Model for Anomaly Event Detection in Care-Independent Smart Homes.

BB Gupta, A Gaurav, RW Attar, V Arya… - … in Engineering & …, 2024 - search.ebscohost.com
This study introduces a long-short-term memory (LSTM)-based neural network model
developed for detecting anomaly events in care-independent smart homes, focusing on the …

A Sustainable W-RLG Model for Attack Detection in Healthcare IoT Systems

BB Gupta, A Gaurav, RW Attar, V Arya, A Alhomoud… - Sustainability, 2024 - mdpi.com
The increasingly widespread use of IoT devices in healthcare systems has heightened the
need for sustainable and efficient cybersecurity measures. In this paper, we introduce the W …

A secure data e-governance for healthcare application in cyber physical systems

G Rathee, H Saini, S Garg, BJ Choi… - International Journal on …, 2024 - igi-global.com
The bio-medical devices gather patient information and communicate it to data consumers
via wireless networks to take the appropriate action and decision by informing the doctors …

[HTML][HTML] Navigating the landscape: Safeguarding privacy and security in the era of ambient intelligence within healthcare settings

T Vats, S Kumar, SK Singh, U Madan, M Preet… - Cyber Security and …, 2024 - Elsevier
Ambient intelligence technologies have the potential to transform healthcare by providing
personalized, context-aware, and proactive support for patients and healthcare providers …