Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review
With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …
Student retention using educational data mining and predictive analytics: a systematic literature review
Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …
rates, which are accumulated as students re-enroll from one academic year to the next. High …
[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …
Some difficulties confronting most schools are delivering high-quality education to the …
Analysis of IoT security challenges and its solutions using artificial intelligence
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
The role of ML, AI and 5G technology in smart energy and smart building management
With the help of machine learning, many tasks can be automated. The use of computers and
mobile devices in “intelligent” buildings may make tasks such as controlling the indoor …
mobile devices in “intelligent” buildings may make tasks such as controlling the indoor …
Diagnosis of diabetic retinopathy through retinal fundus images and 3D convolutional neural networks with limited number of samples
Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads
to minor and major blindness and is more prevalent among adults. Automated screening …
to minor and major blindness and is more prevalent among adults. Automated screening …
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 …
Prediction of student academic performance using a hybrid 2D CNN model
Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …
learning are increasing. A multitude of data are being produced by institutional technology, e …
Automated classification of brain tumors from magnetic resonance imaging using deep learning
Brain tumor classification is crucial for medical evaluation in computer-assisted diagnostics
(CAD). However, manual diagnosis of brain tumors from magnetic resonance imaging (MRI) …
(CAD). However, manual diagnosis of brain tumors from magnetic resonance imaging (MRI) …
Lung nodules localization and report analysis from computerized tomography (CT) scan using a novel machine learning approach
A lung nodule is a tiny growth that develops in the lung. Non-cancerous nodules do not
spread to other sections of the body. Malignant nodules can spread rapidly. One of the …
spread to other sections of the body. Malignant nodules can spread rapidly. One of the …