Blood pressure detection using CNN-LSTM model
Blood pressure (BP) is a key indication that needs to be checked on a regular basis. For
maintaining a healthy life normal blood pressure is essential, and a continuous change can …
maintaining a healthy life normal blood pressure is essential, and a continuous change can …
A convolutional neural network approach for diabetic retinopathy classification
Diabetic Retinopathy (DR) is a kind of problem which affects diabetic patients, particularly
those at their age of working, and can result in vision impairment and possibly irreversible …
those at their age of working, and can result in vision impairment and possibly irreversible …
Microwave substrate integrated waveguide resonator sensor for non-invasive monitoring of blood glucose concentration: Low cost and painless tool for diabetics
In this study, a microwave resonant sensor with an operation frequency of 9 GHz and a
quality factor of 240 has been designed, fabricated and tested by fingertips of the users to …
quality factor of 240 has been designed, fabricated and tested by fingertips of the users to …
Liver disease prediction using machine learning classification techniques
Machine Learning is a process which is used to discover patterns in huge data/large data
set to enable decision, thereby allowing machines to go through a learning process (ie …
set to enable decision, thereby allowing machines to go through a learning process (ie …
Automated Seizure Detection using Theta Band
The EEG signal is made up of numerous frequency bands that characterize human
behaviours like emotion, attentiveness, and sleep status, among others. In order to detect …
behaviours like emotion, attentiveness, and sleep status, among others. In order to detect …
A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal
Neurologists visually inspect electroencephalogram (EEG) reports to get the epilepsy
diagnosis. Scholars have suggested automated techniques to detect the ailment due to the …
diagnosis. Scholars have suggested automated techniques to detect the ailment due to the …
A Neural Network Approach For Malware Classification
Malicious program is commonly known as malware, which is purposely designed to cause
problems in networks and harm in a variety of ways. Malware's primary goal is to disrupt …
problems in networks and harm in a variety of ways. Malware's primary goal is to disrupt …
Non-invasive determination of blood glucose level using narrowband microwave sensor
VV Deshmukh, SS Chorage - Journal of Ambient Intelligence and …, 2021 - Springer
The diabetic patients use invasive technique to monitor their Blood Glucose Level (BGL) on
a regular basis. This paper mainly presents a system that estimates BGL noninvasively …
a regular basis. This paper mainly presents a system that estimates BGL noninvasively …
Smart door locking system using IoT
The Internet of Things (IoT) has gained widespread attention among many research areas.
The modern automation has made the life more sophisticated and easier. An IoT based …
The modern automation has made the life more sophisticated and easier. An IoT based …
Application of transfer learning approach for diabetic retinopathy classification
Diabetes is a disorder of the metabolism caused by high glucose levels in the body.
Diabetes causes eye deficiency, also known as Diabetic Retinopathy (DR), which causes …
Diabetes causes eye deficiency, also known as Diabetic Retinopathy (DR), which causes …