Human emotion recognition based on brain signal analysis using fuzzy neural network

M Alruwaili, R Alruwaili, UA Kumar, AM Albarrak… - Soft Computing, 2023 - Springer
An important method in the “human–computer interface”(HCI) is emotion recognition.
Conventional emotion detection algorithms rely on exterior behaviors like facial expression …

A novel deep learning-based approach for detecting attacks in social IoT

R Mohan Das, U Arun Kumar, S Gopinath, V Gomathy… - Soft Computing, 2023 - Springer
In the innovative concept of the “Social Internet of Things”(IoT), the IoT is combined with
social platforms so that inanimate devices can form their interactions with one another. Still …

RETRACTED ARTICLE: Diagnosing osteoporosis using deep neural networkassisted optical image processing method

MU Zaman, MK Alam, NR Alqhtani, A Robaian… - Optical and Quantum …, 2024 - Springer
Osteoporosis is a disease in which bone mass and structural strength decrease, leading to
increased fragility and susceptibility to fractures in the face, neck, spine, wrist, etc. It's a …

DNN and Cryptography based Data Monitoring System for IoMT Environment

S Shivananda, M Sathya, K Janani… - 2023 International …, 2023 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) has the capacity to enhance the efficiency of patient
diagnosis and monitoring outside the hospital setting by wirelessly transferring data via …

Earlier Detection of Pancreatic Cancer Using Neural Network Based Optimization Technique

KSC Mauryan, H Nishat, U Arunkumar… - 2023 7th …, 2023 - ieeexplore.ieee.org
Medical healthcare systems are being extensively studied, giving computer technology lots
of space to innovate. The most important medical research is predicting cancer, which may …

LR-CNN based Classification for Improved EEG Epilepsy Seizure Detection using Discrete Wavelet Transform Technique

P Ashok, SP Chakkravarthy… - 2023 7th …, 2023 - ieeexplore.ieee.org
Epileptic seizures occur due to the functionality of neurological disorders in the brain, which
can affect a patient's health. Machine Learning (ML) techniques are used for predicting …