Blood pressure detection using CNN-LSTM model

K Gupta, N Jiwani, N Afreen - 2022 IEEE 11th International …, 2022 - ieeexplore.ieee.org
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 …

A convolutional neural network approach for diabetic retinopathy classification

N Jiwani, K Gupta, N Afreen - 2022 IEEE 11th International …, 2022 - ieeexplore.ieee.org
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 …

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

A Shoeibi, N Ghassemi, M Khodatars… - … Signal Processing and …, 2022 - Elsevier
Epileptic seizures are one of the most crucial neurological disorders, and their early
diagnosis will help the clinicians to provide accurate treatment for the patients. The …

Liver disease prediction using machine learning classification techniques

K Gupta, N Jiwani, N Afreen… - 2022 IEEE 11th …, 2022 - ieeexplore.ieee.org
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 …

Automated Seizure Detection using Theta Band

N Jiwani, K Gupta, N Afreen - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
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 …

A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal

N Jiwani, K Gupta, MHU Sharif… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
Neurologists visually inspect electroencephalogram (EEG) reports to get the epilepsy
diagnosis. Scholars have suggested automated techniques to detect the ailment due to the …

A Neural Network Approach For Malware Classification

K Gupta, N Jiwani, MHU Sharif… - 2022 International …, 2022 - ieeexplore.ieee.org
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 …

Detection of epileptic seizures using convolutional neural network

S Gupta, M Sameer, N Mohan - 2021 International Conference …, 2021 - ieeexplore.ieee.org
One of the most prevalent neurological ailments, Epilepsy, affects around 1-2% of the entire
population of earth. It is the second only of stroke when it comes to neurological sickness …

Adopting artificial intelligence powered ConvNet to detect epileptic seizures

A Mahajan, K Somaraj… - 2020 IEEE-EMBS …, 2021 - ieeexplore.ieee.org
Neural networks and deep learning has gained much attention in the recent years in the
medical field. Recent improvements in deep learning has led to computer-aided analysis of …

Automatic epileptic seizure detection using LSTM networks

KS Shekokar, S Dour - World Journal of Engineering, 2022 - emerald.com
Purpose The purpose of this work is to make a computer aided detection system for epileptic
seizures. Epilepsy is a neurological disorder characterized as the recurrence of two or more …