IoT based heart disease prediction and diagnosis model for healthcare using machine learning models

M Ganesan, N Sivakumar - 2019 IEEE international conference …, 2019 - ieeexplore.ieee.org
Latest advancements in field of IoT and sensing technologies can be employed for online
healthcare services. The gigantic quantity of information is being formed through the IoT …

Internet of medical things with cloud-based e-health services for brain tumour detection model using deep convolution neural network

M Ganesan, N Sivakumar… - … an International Journal, 2020 - inderscienceonline.com
In the present days, e-health services offer various decision support systems in healthcare
sector. These systems make use of internet of medical things (IoMT) devices and cloud …

Optimal SVM based brain tumor MRI image classification in cloud internet of medical things

S Chidambaranathan, A Radhika, VV Priya… - Cognitive Internet of …, 2021 - Springer
At recent days, massive increase in the Internet of Things (IoT) and cloud computing
receives numerous healthcare services to the subsequent stage. On the other hand, brain …

Internet of medical things and cloud enabled brain tumour diagnosis model using deep learning with kernel extreme learning machine

M Ganesan, N Sivakumar… - International …, 2022 - inderscienceonline.com
Presently, internet of things (IoT) and cloud-based e-health services offer various decision
support systems in the medical field. In this view, this paper introduces a new internet of …

A distributed and efficient system architecture for smart home

S Hu, C Tang, F Liu, X Wang - International Journal of …, 2016 - inderscienceonline.com
To improve the efficiency of deploying and calling of home services, this paper proposes a
distributed service-oriented architecture (D-SOA) for a smart-home system. In this proposed …

A rule-based framework for developing context-aware systems for smart spaces

I Uddin - 2019 - eprints.nottingham.ac.uk
Context-aware computing is a mobile computing paradigm that helps designing and
implementing next generation smart applications, where personalized devices interact with …

An energy efficient IoT based Healthcare System based on clustering technique

M Ganesan, N Sivakumar - 2019 3rd International conference …, 2019 - ieeexplore.ieee.org
Rapid development in the field of IoT and sensing technologies makes a way of IoT based
health monitoring in an effective manner. Among the diverse solution to reduce the energy …

Integration of Data from Vehicular Ad Hoc Networks Using Model‐Driven Collaborative Tools

R Lacuesta, J Gallardo, J Lloret… - Mobile Information …, 2016 - Wiley Online Library
Ubiquitous environments such as Vehicular Ad Hoc Networks need applications that allow
them to integrate data and services to build knowledge that can be used to make decisions …

Improved Reinforcement Learning for Reliable Routing in Medical Wireless Sensor Networks.

D Lingamaiah, DK Reddy… - Instrumentation, Mesures …, 2023 - search.ebscohost.com
The medical field is one of the various evolving areas of wireless sensor network (WSN)
applications. WSN is a self-creating entity that requires no pre-infrastructure support for data …

Toward social paradigms for mobile context-aware computing in smart cities: Position paper

R Kamberov, V Santos, C Granell - 2016 11th Iberian …, 2016 - ieeexplore.ieee.org
Mobile context-aware computing is an essential component of the smart cities infrastructure.
Attempts were made to develop a model that can effectively represent a system in device to …