Secure and smart healthcare system using IoT and deep learning models
Patients of Smart Healthcare Systems have access to their medical records through an
online portal. Due to the fact that patients do not want their names made public, maintaining …
online portal. Due to the fact that patients do not want their names made public, maintaining …
A smart healthcare monitoring system based on fog computing architecture
AR Yeruva, CSLV Durga… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Access to adequate medical care can be difficult in many countries, particularly in
economically develo** countries. There aren't enough medical professionals, such as …
economically develo** countries. There aren't enough medical professionals, such as …
Real-time health monitoring in WBANs using hybrid metaheuristic-driven machine learning routing protocol (MDML-RP)
Wireless body area networks (WBANs) are helpful for remote health monitoring, especially
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …
An Empirical Study and Simulation Analysis of the MAC Layer Model Using the AWGN Channel on WiMAX Technology
The IEEE 802.16 specification defines WiMAX, a wireless broadband data transmission
technology. It enables high-speed data transmission over a wide range and remains …
technology. It enables high-speed data transmission over a wide range and remains …
Energy Optimization in Wireless Sensor Networks
Data collection from sensitive places must be done remotely due to laborious
communication protocols. In this paper, the deployment of wireless sensor networks is …
communication protocols. In this paper, the deployment of wireless sensor networks is …
EEDLABA: energy-efficient distance-and link-aware body area routing protocol based on clustering mechanism for wireless body sensor network
In medical environments, a wireless body sensor network (WBSN) is used to operate
remotely, and sensor nodes are employed. It consists of sensor nodes installed on a human …
remotely, and sensor nodes are employed. It consists of sensor nodes installed on a human …
Visualization and Prediction of Rainfall Using Deep Learning and Machine Learning Techniques
T Aruna, P Naresh, A Rajeshwari… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The sheer quantity of big information has created tremendous prospects for forecasts and
study. Infographic is a normal sight in everyday life. Several trend lines explain the …
study. Infographic is a normal sight in everyday life. Several trend lines explain the …
An efficient energy-aware and reliable routing protocol to enhance the performance of wireless body area networks
AM Abdullah - The Journal of Supercomputing, 2024 - Springer
A wireless body area network (WBAN) is a type of wireless sensor network that plays a
crucial role in monitoring patient healthcare. In this network, sensor nodes are typically …
crucial role in monitoring patient healthcare. In this network, sensor nodes are typically …
Brain Tumor Classification by Convolutional Neural Network
D Kapila, G Vatsa, P Prabavathi… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Image categorization challenges are typically solved by means of the employment of
convolutional neural networks (CNN). The categorization of medical photos is currently …
convolutional neural networks (CNN). The categorization of medical photos is currently …
Carbohydrate Recommendation for Type-1 Diabetics Patient Using Machine Learning
SVN Sreenivasu, S Gupta, G Vatsa… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Diabetes is a chronic illness that develops when the blood glucose level is elevated above
normal. Diabetes has a variety of reasons, making diagnosis and treatment more difficult …
normal. Diabetes has a variety of reasons, making diagnosis and treatment more difficult …