Recent advancements in fruit detection and classification using deep learning techniques
CC Ukwuoma, Q Zhiguang… - Mathematical …, 2022 - Wiley Online Library
Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …
[HTML][HTML] How can machine learning be used in stress management: A systematic literature review of applications in workplaces and education
In today's competitive and rival world, stress has emerged to be an integral part of every
person's life which affects an individual directly or indirectly in many ways. The COVID-19 …
person's life which affects an individual directly or indirectly in many ways. The COVID-19 …
[HTML][HTML] A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
Introduction Pneumonia is a microorganism infection that causes chronic inflammation of the
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …
Wearable flexible electronics based cardiac electrode for researcher mental stress detection system using machine learning models on single lead electrocardiogram …
In the modern world, wearable smart devices are continuously used to monitor people's
health. This study aims to develop an automatic mental stress detection system for …
health. This study aims to develop an automatic mental stress detection system for …
Yoga meets intelligent internet of things: recent challenges and future directions
The physical and mental health of people can be enhanced through yoga, an excellent form
of exercise. As part of the breathing procedure, yoga involves stretching the body organs …
of exercise. As part of the breathing procedure, yoga involves stretching the body organs …
Automated lung-related pneumonia and COVID-19 detection based on novel feature extraction framework and vision transformer approaches using chest X-ray …
According to research, classifiers and detectors are less accurate when images are blurry,
have low contrast, or have other flaws which raise questions about the machine learning …
have low contrast, or have other flaws which raise questions about the machine learning …
A systematic review of virtual reality and robot therapy as recent rehabilitation technologies using EEG-brain–computer interface based on movement-related cortical …
To enhance the treatment of motor function impairment, patients' brain signals for self-control
as an external tool may be an extraordinarily hopeful option. For the past 10 years …
as an external tool may be an extraordinarily hopeful option. For the past 10 years …
Ensemble computational intelligent for insomnia sleep stage detection via the sleep ECG signal
P Tripathi, MA Ansari, TK Gandhi, R Mehrotra… - IEEE …, 2022 - ieeexplore.ieee.org
Insomnia is a common sleep disorder in which patients cannot sleep properly. Accurate
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
Smartphone addiction among students and its harmful effects on mental health, oxidative stress, and neurodegeneration towards future modulation of anti-addiction …
Background: Addiction is always harmful to the human body. Smartphone addiction also
affects students' mental and physical health. Aim: This study aims to determine the research …
affects students' mental and physical health. Aim: This study aims to determine the research …
An End‐to‐End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal
Electrocardiography (ECG) is a well‐known noninvasive technique in medical science that
provides information about the heart's rhythm and current conditions. Automatic ECG …
provides information about the heart's rhythm and current conditions. Automatic ECG …