Recent advances in deep learning models: a systematic literature review

R Malhotra, P Singh - Multimedia Tools and Applications, 2023 - Springer
In recent years, deep learning has evolved as a rapidly growing and stimulating field of
machine learning and has redefined state-of-the-art performances in a variety of …

Dimensions of artificial intelligence techniques, blockchain, and cyber security in the Internet of medical things: Opportunities, challenges, and future directions

AH Ameen, MA Mohammed… - Journal of Intelligent …, 2023 - degruyter.com
The Internet of medical things (IoMT) is a modern technology that is increasingly being used
to provide good healthcare services. As IoMT devices are vulnerable to cyberattacks …

Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches

A Ala, V Simic, D Pamucar, N Bacanin - Engineering Applications of …, 2024 - Elsevier
Utilizing cutting-edge technology in the healthcare industry could provide advanced
methods for managing medical records for patients' treatment. Integrating essential …

Utilizing deep convolutional neural architecture with attention mechanism for objective diagnosis of schizophrenia using wearable IoMT devices

MM Misgar, MPS Bhatia - Multimedia Tools and Applications, 2024 - Springer
Mental health diagnosis often relies on subjective evaluations, which can be intrusive and
lack objectivity. With the current global situation brought about by the COVID-19 pandemic …

An Optimal Authentication Scheme through Dual Signature for the Internet of Medical Things

Z Jamroz, I Ullah, B Hassan, NU Amin, MA Khan… - Future Internet, 2023 - mdpi.com
The Internet of Medical Things (IoMT) overcomes the flaws in the traditional healthcare
system by enabling remote administration, more effective use of resources, and the mobility …

Big data-based smart health monitoring system: using deep ensemble learning

MH Abidi, U Umer, SH Mian, A Al-Ahmari - IEEE Access, 2023 - ieeexplore.ieee.org
Human life has become smarter by utilizing big data, telecommunication technologies, and
wearable sensors over pervasive computing to give better healthcare services. Big data is …

Revolutionizing healthcare: a comparative insight into deep learning's role in medical imaging

VK Prasad, A Verma, P Bhattacharya, S Shah… - Scientific Reports, 2024 - nature.com
Abstract Recently, Deep Learning (DL) models have shown promising accuracy in analysis
of medical images. Alzeheimer Disease (AD), a prevalent form of dementia, uses Magnetic …

Soft cluster-rectangle method for eliciting criteria weights in multi-criteria decision-making

S Zakeri, D Konstantas, P Chatterjee, EK Zavadskas - Scientific Reports, 2025 - nature.com
Subjective weighting methods are widely employed to determine criteria weights in multi-
criteria decision-making (MCDM) environment. Inputs from decision-makers, including …

Attaining an IoMT-based health monitoring and prediction: a hybrid hierarchical deep learning model and metaheuristic algorithm

PK Shukla, A Alqahtani, A Dwivedi, N Alqahtani… - Neural Computing and …, 2023 - Springer
Abstract Internet of Medical Things (IoMT) visualizes a network of medical devices and
society adopting wireless communications to enable interchange of healthcare data. IoMT is …

Designing for Digital Transformation in a Society of Smartness: Conceptual Cornerstones, Design Implications, and a Road Ahead

S Hanke, L Wessel - Foundations and Trends® in Information …, 2024 - nowpublishers.com
Abstract Information system (IS) researchers can be seen as key change agents in
occasioning positive societal change and playing a role in responding to “grand …