Machine learning for intelligent energy consumption in smart homes

A Alzoubi - International Journal of Computations, Information …, 2022 - journals.gaftim.com
The growth of personal pleasure is a direct result of a person's ability to provide themselves
with energy. Since people may construct and enhance their way of life more swiftly with …

Improving home security using blockchain

N Ratkovic - International Journal of Computations, Information …, 2022 - journals.gaftim.com
The major problem with the use of smart home technology is that it often leads to various
security issues. This mainly happens because the devices use open internet connections …

Management and treatment of type 2 diabetes

SM Butt - International Journal of Computations, Information …, 2022 - journals.gaftim.com
Diabetes is a diseas caused by insufficient insulin production by the pancreas. Diabetic
people aged 18 and older accounted for 8.5% of the total adult population in 2014. From …

The role of Vr games to minimize the obesity of video gamers

EP Mondol - International Journal of Computations, Information …, 2022 - journals.gaftim.com
Video games have become something very famous all over the world, in the past, there were
only a few gamers, and becoming a gamer was something very odd to do but these days the …

The internet's role in undermining the credibility of the healthcare industry

N Radwan - International Journal of Computations, Information …, 2022 - journals.gaftim.com
The widespread popularity of the internet can be considered both advantageous and
detrimental to society, as the age of technological advancement sparks innovative ways in …

Studying human robot interaction and its characteristics

M Farouk - International Journal of Computations, Information …, 2022 - journals.gaftim.com
The process of human-robot interaction focuses on the analysis of different forms of
communication between humans and the robots through the application of technologies like …

A new two-step ensemble learning model for improving stress prediction of automobile drivers

G Issa - The International Arab Journal of …, 2021 - research.skylineuniversity.ac.ae
Commuting when there is a significant volume of traffic congestion has been acknowledged
as one of the key factors causing stress. Significant levels of stress whilst driving are seen to …

Machine learning techniques for arousal classification from electrodermal activity: A systematic review

R Sánchez-Reolid, F López de la Rosa… - Sensors, 2022 - mdpi.com
This article introduces a systematic review on arousal classification based on electrodermal
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …

Human stress detection with wearable sensors using convolutional neural networks

M Gil-Martin, R San-Segundo, A Mateos… - IEEE Aerospace and …, 2022 - ieeexplore.ieee.org
In this article, we propose and evaluate a deep learning architecture based on convolutional
neural networks for human stress detection using wearable sensors. This architecture has a …

A driver stress detection model via data augmentation based on deep convolutional recurrent neural network

Q Zhao, L Yang, N Lyu - Expert Systems with Applications, 2024 - Elsevier
Excessive stress generally leads to degraded driving performance, which increases the risk
of road accidents. Therefore, real-time driver stress detection is of great significance to …