Geospatial big data: Survey and challenges
J Wu, W Gan, HC Chao… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
In recent years, geospatial big data (GBD) has obtained attention across various disciplines,
categorized into big Earth observation data and big human behavior data. Identifying …
categorized into big Earth observation data and big human behavior data. Identifying …
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 …
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 …
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 …
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Retracted article: hybrid recommendation system for heart disease diagnosis based on multiple kernel learning with adaptive neuro-fuzzy inference system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 …
ANFIS) based deep learning method is proposed in this paper for heart disease diagnosis …
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 …
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 …
to remove the noises, various image processing filters are used in various studies. In this …
A novel method for solving the fully neutrosophic linear programming problems
M Abdel-Basset, M Gunasekaran, M Mohamed… - Neural computing and …, 2019 - Springer
The most widely used technique for solving and optimizing a real-life problem is linear
programming (LP), due to its simplicity and efficiency. However, in order to handle the …
programming (LP), due to its simplicity and efficiency. However, in order to handle the …
An optimized feature selection based on genetic approach and support vector machine for heart disease
CB Gokulnath, SP Shantharajah - Cluster Computing, 2019 - Springer
Heart disease diagnosis is found to be a challenging issue which can offer a computerized
estimate about the level of heart disease so that supplementary action can be made easy …
estimate about the level of heart disease so that supplementary action can be made easy …
Error compensation of industrial robot based on deep belief network and error similarity
With the advantages of the high degree of freedom and large action space, industrial robots
are gradually widely used in high-end large-scale equipment automatic assembly fields …
are gradually widely used in high-end large-scale equipment automatic assembly fields …