[HTML][HTML] An overview of fog data analytics for IoT applications

J Bhatia, K Italiya, K Jadeja, M Kumhar, U Chauhan… - Sensors, 2022 - mdpi.com
With the rapid growth in the data and processing over the cloud, it has become easier to
access those data. On the other hand, it poses many technical and security challenges to the …

HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments

S Tuli, N Basumatary, SS Gill, M Kahani… - Future Generation …, 2020 - Elsevier
Cloud computing provides resources over the Internet and allows a plethora of applications
to be deployed to provide services for different industries. The major bottleneck being faced …

FETCH: a deep learning-based fog computing and IoT integrated environment for healthcare monitoring and diagnosis

P Verma, R Tiwari, WC Hong, S Upadhyay… - IEEE access, 2022 - ieeexplore.ieee.org
These days cloud-based infrastructure is facing many challenges, out of which the major
issue is their syncing data before cutover and data migration. Due to the limited scalability in …

Hybrid mist-cloud systems for large scale geospatial big data analytics and processing: opportunities and challenges

RK Barik, C Misra, RK Lenka, H Dubey… - Arabian Journal of …, 2019 - Springer
The cloud and fog computing paradigms are developing area for storing, processing, and
analysis of geospatial big data. Latest trend is mist computing which boost fog and cloud …

Fog computing applications: Taxonomy and requirements

A Ahmed, HR Arkian, D Battulga, AJ Fahs… - arXiv preprint arXiv …, 2019 - arxiv.org
Fog computing was designed to support the specific needs of latency-critical applications
such as augmented reality, and IoT applications which produce massive volumes of data …

Optimal deep learning approaches and healthcare big data analytics for mobile networks toward 5G

DA Pustokhin, IV Pustokhina, P Rani, V Kansal… - Computers and …, 2021 - Elsevier
Recent developments in wireless networking, big data technologies like 5G networks,
healthcare big data analytics, Internet of Things (IoT) and other advanced technologies in …

Diagnose Diabetic Mellitus Illness Based on IoT Smart Architecture

A Pati, M Parhi, BK Pattanayak, D Singh… - Wireless …, 2022 - Wiley Online Library
Obtaining a quick remote diagnosis of heart disease has proven problematic in recent days.
To overcome such issues in e‐Healthcare systems, Internet of Things (IoT) applications …

Fog Computing-Based Framework and Solutions for Intelligent Systems: Enabling Autonomy in Vehicles

M Dhanalakshmi, K Tamilarasi… - … Intelligence for Green …, 2024 - igi-global.com
The automotive industry is increasingly focusing on autonomous vehicles, leading to a need
for intelligent systems that enable safe and efficient self-driving. Fog computing is a …

[HTML][HTML] DeepFog: Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks

R Priyadarshini, RK Barik, H Dubey - Computation, 2018 - mdpi.com
The use of wearable and Internet-of-Things (IoT) for smart and affordable healthcare is
trending. In traditional setups, the cloud backend receives the healthcare data and performs …

Autonomic edge cloud assisted framework for heart disease prediction using RF-LRG algorithm

M Kumar, A Rai, Surbhit, N Kumar - Multimedia Tools and Applications, 2024 - Springer
Due to changing lifestyles, human physical exercise has dropped rapidly which leads to
several health-related problems. It is not easy to detect heart-related diseases, but with the …