Big data analytics in weather forecasting: A systematic review

M Fathi, M Haghi Kashani, SM Jameii… - … Methods in Engineering, 2022 - Springer
Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …

SAR data applications in earth observation: An overview

A Tsokas, M Rysz, PM Pardalos, K Dipple - Expert Systems with …, 2022 - Elsevier
In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …

A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system

G Manogaran, R Varatharajan, D Lopez… - Future Generation …, 2018 - Elsevier
Wearable medical devices with sensor continuously generate enormous data which is often
called as big data mixed with structured and unstructured data. Due to the complexity of the …

A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases

PM Kumar, UD Gandhi - Computers & Electrical Engineering, 2018 - Elsevier
Among the applications enabled by the Internet of Things (IoT), continuous health
monitoring system is a particularly important one. Wearable sensor devices used in IoT …

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Retracted article: hybrid recommendation system for heart disease diagnosis based on multiple kernel learning with adaptive neuro-fuzzy inference system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

Machine learning based big data processing framework for cancer diagnosis using hidden Markov model and GM clustering

G Manogaran, V Vijayakumar, R Varatharajan… - Wireless personal …, 2018 - Springer
The change in the DNA is a form of genetic variation in the human genome. In addition, the
DNA copy number change is also linked with the progression of many emerging diseases …

RETRACTED ARTICLE: A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing

R Varatharajan, G Manogaran, MK Priyan - Multimedia Tools and …, 2018 - Springer
Electrocardiographic (ECG) signals often consist of unwanted noises and speckles. In order
to remove the noises, various image processing filters are used in various studies. In this …

Centralized fog computing security platform for IoT and cloud in healthcare system

C Thota, R Sundarasekar, G Manogaran… - … in research and …, 2018 - igi-global.com
This chapter proposes an efficient centralized secure architecture for end to end integration
of IoT based healthcare system deployed in Cloud environment. The proposed platform …