Data reduction in fog computing and internet of things: A systematic literature survey

AA Sadri, AM Rahmani, M Saberikamarposhti… - Internet of Things, 2022 - Elsevier
Cloud computing, the most crucial computing and storage tool in IoT (Internet of Things), still
meets various challenges. The remoteness of IoT end devices from cloud platforms may …

[HTML][HTML] Digital transformation in healthcare: Analyzing the current state-of-research

S Kraus, F Schiavone, A Pluzhnikova… - Journal of Business …, 2021 - Elsevier
Digital transformation in healthcare is of increasing relevance for both scholars and
practitioners in the field. Our article attempts to assess the research question how multiple …

Survey on sensors and smart devices for IoT enabled intelligent healthcare system

SS Chopade, HP Gupta, T Dutta - Wireless Personal Communications, 2023 - Springer
Abstract The Internet of Things (IoT) in the healthcare system is rapidly changing from the
conventional hospital and concentrated specialist behavior to a distributed, patient-centric …

Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study

S Bag, P Dhamija, RK Singh, MS Rahman… - Journal of Business …, 2023 - Elsevier
The healthcare supply chain involves the manufacturing and delivery of medicines at the
right time, at the right place, and in the correct quantity. In the world of uncertainties …

Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts

QV Pham, DC Nguyen, T Huynh-The, WJ Hwang… - IEEE …, 2020 - ieeexplore.ieee.org
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec.
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …

An IoT framework for heart disease prediction based on MDCNN classifier

MA Khan - Ieee Access, 2020 - ieeexplore.ieee.org
Nowadays, heart disease is the leading cause of death worldwide. Predicting heart disease
is a complex task since it requires experience along with advanced knowledge. Internet of …

A secure framework for authentication and encryption using improved ECC for IoT-based medical sensor data

MA Khan, MT Quasim, NS Alghamdi, MY Khan - IEEe Access, 2020 - ieeexplore.ieee.org
Mobile users are increasing exponentially to adopt ubiquitous services offered by various
sectors. This has attracted attention for a secure communication framework to access e …

An ontology-driven personalized food recommendation in IoT-based healthcare system

V Subramaniyaswamy, G Manogaran… - The Journal of …, 2019 - Springer
The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …

Retracted article: hybrid recommendation system for heart disease diagnosis based on multiple kernel learning with adaptive neuro-fuzzy inference system

G Manogaran, R Varatharajan, MK Priyan - Multimedia tools and …, 2018 - Springer
Abstract Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System (MKL with
ANFIS) based deep learning method is proposed in this paper for heart disease diagnosis …

Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm

R Varatharajan, G Manogaran, MK Priyan… - Cluster …, 2018 - Springer
Alzheimer disease is a significant problem in public health. Alzheimer disease causes
severe problems with thinking, memory and activities. Alzheimer disease affected more on …