Ship detection based on deep learning using SAR imagery: a systematic literature review

M Yasir, W Jianhua, X Mingming, S Hui, Z Zhe… - Soft Computing, 2023 - Springer
This study adheres to a set of guidelines for performing an SLR. The mission of the SLR is to
find publications, publishers, deep learning types, improved and amended deep learning …

Analysis of navigation assistants for blind and visually impaired people: A systematic review

S Khan, S Nazir, HU Khan - IEEE access, 2021 - ieeexplore.ieee.org
Over the last few decades, the development in the field of navigation and routing devices
has become a hindering task for the researchers to develop smart and intelligent guiding …

A framework for pandemic prediction using big data analytics

I Ahmed, M Ahmad, G Jeon, F Piccialli - Big Data Research, 2021 - Elsevier
Abstract IoT (Internet of Things) devices and smart sensors are used in different life sectors,
including industry, business, surveillance, healthcare, transportation, communication, and …

Cognitive computing technological trends and future research directions in healthcare—A systematic literature review

M Srivani, A Murugappan, T Mala - Artificial Intelligence in Medicine, 2023 - Elsevier
Abstract Background and aim: Cognitive Computing systems are the intelligent systems that
thinks, understands and augments the capabilities of human brain by blending the …

A cluster-based stratified hybrid decision support model under uncertainty: sustainable healthcare landfill location selection

EB Tirkolaee, AE Torkayesh - Applied Intelligence, 2022 - Springer
Nowadays, healthcare waste management has become one of the significant
environmental, health, and social problems. Due to population and urbanization growth and …

A systematic review on cloud storage mechanisms concerning e-healthcare systems

A Tahir, F Chen, HU Khan, Z Ming, A Ahmad, S Nazir… - Sensors, 2020 - mdpi.com
As the expenses of medical care administrations rise and medical services experts are
becoming rare, it is up to medical services organizations and institutes to consider the …

Clouds proportionate medical data stream analytics for internet of things-based healthcare systems

PM Kumar, CS Hong, F Afghah… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) assisted healthcare systems are designed for providing ubiquitous
access and recommendations for personal and distributed electronic health services. The …

An innovative big data framework for exploring the impact on decision-making in the European Mediterranean healthcare sector

M El Samad, S El Nemar, G Sakka… - EuroMed Journal of …, 2022 - emerald.com
Purpose The purpose of this paper is to propose a new conceptual framework for big data
analytics (BDA) in the healthcare sector for the European Mediterranean region. The …

[HTML][HTML] Digital-care in next generation networks: Requirements and future directions

R Ahmad, M Hämäläinen, R Wazirali, T Abu-Ain - Computer Networks, 2023 - Elsevier
Digital healthcare applications are part of the Industry 4.0 which is based on smart devices
and trustworthy communications technology. The concept of Digital-care is based on …

Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing

S Khan, HU Khan, S Nazir - Scientific Reports, 2022 - nature.com
Big data has revolutionized the world by providing tremendous opportunities for a variety of
applications. It contains a gigantic amount of data, especially a plethora of data types that …