Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues

A Heidari, N Jafari Navimipour, M Unal… - ACM Computing …, 2023 - dl.acm.org
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

Healthcare predictive analytics using machine learning and deep learning techniques: a survey

M Badawy, N Ramadan, HA Hefny - Journal of Electrical Systems and …, 2023 - Springer
Healthcare prediction has been a significant factor in saving lives in recent years. In the
domain of health care, there is a rapid development of intelligent systems for analyzing …

Interactive teaching using human-machine interaction for higher education systems

H Shang, CB Sivaparthipan - Computers and Electrical Engineering, 2022 - Elsevier
Abstract Advances in Interactive Teaching Methodology (ITM) quickly transformshigher
education and learning where ITM incorporates web-based face-to-face instruction. IfITM …

A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective

ECP Neto, S Dadkhah, S Sadeghi, H Molyneaux… - Computer …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is transforming society by connecting businesses and
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …

Smart healthcare: disease prediction using the cuckoo‐enabled deep classifier in IoT framework

A Kumar, SS Satyanarayana Reddy… - Scientific …, 2022 - Wiley Online Library
The Internet of Things (IoT) is commonly employed to detect different kinds of diseases in the
health sector. Presently, disease detection is performed using MRI images, X‐rays, CT …

A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT

R Balaraju, K Lakshmanna - Recent Advances in Computer …, 2024 - ingentaconnect.com
India has evaluated 77 million people with diabetes, which makes it the second most
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …

Motion capture and evaluation system of football special teaching in colleges and universities based on deep learning

X Yin, CC Vignesh, T Vadivel - International Journal of System Assurance …, 2022 - Springer
Football reduces body fat and increases the tone of muscle, constructs strength, flexibility,
and stamina. It increases muscle power, bone as well as improvements in walking, running …

Application of deep learning method in automatic collection and processing of video surveillance data for basketball sports prediction

H Jiang, T Qiu, K Deepa Thilak - Arabian Journal for Science and …, 2021 - Springer
Sport difficulty in competitions must be investigated with noninvasive approaches, which are
indispensable. In this case, creating a noninvasive system for data acquisition that …

Artificial Neural Network-Based Medical Diagnostics and Therapeutics

MH Ali, MM Jaber, SK Abd, A Alkhayyat… - International Journal of …, 2022 - World Scientific
The advancement of healthcare technology is impossible without machine learning (ML).
There have been numerous advances in ML to analyze, predict, and diagnose medical data …

Deep learning approach for emotion recognition analysis in text streams

C Liu, S Kirubakaran - … of Technology and Human Interaction (IJTHI …, 2022 - igi-global.com
Social media sites employ various approaches to track feelings, including diagnosing
neurological problems, including fear, in people or assessing a population public sentiment …