[HTML][HTML] A new mobile application of agricultural pests recognition using deep learning in cloud computing system

ME Karar, F Alsunaydi, S Albusaymi… - Alexandria Engineering …, 2021 - Elsevier
Agricultural pests cause between 20 and 40 percent loss of global crop production every
year as reported by the Food and Agriculture Organization (FAO). Therefore, smart …

Intelligent automated drug administration and therapy: future of healthcare

R Sharma, D Singh, P Gaur, D Joshi - Drug Delivery and Translational …, 2021 - Springer
In the twenty-first century, the collaboration of control engineering and the healthcare sector
has matured to some extent; however, the future will have promising opportunities, vast …

[PDF][PDF] Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method

I Izonin, R Tkachenko, I Dronyuk… - Mathematical …, 2021 - researchgate.net
The paper considers the problem of handling short sets of medical data. Effectively solving
this problem will provide the ability to solve numerous classification and regression tasks in …

Advances in controller design of pacemakers for pacing control: A comprehensive review

R Dey, N Dey, RS Dhar, U Mondal… - Annual Reviews in …, 2024 - Elsevier
This paper provides an extensive literature review focusing on the modeling of artificial
pacemakers and the various mechanisms employed for their pacing control. In this survey …

A pilot study of smart agricultural irrigation using unmanned aerial vehicles and IoT-based cloud system

ME Karar, F Alotaibi, AAL Rasheed… - arXiv preprint arXiv …, 2021 - arxiv.org
This article introduces a new mobile-based application of modern information and
communication technology in agriculture based on Internet of Things (IoT), embedded …

IoT and neural network-based water pumping control system for smart irrigation

ME Karar, MF Al-Rasheed, AF Al-Rasheed… - arXiv preprint arXiv …, 2020 - arxiv.org
This article aims at saving the wasted water in the process of irrigation using the Internet of
Things (IoT) based on a set of sensors and Multi-Layer Perceptron (MLP) neural network …

Optimal adaptive intuitionistic fuzzy logic control of anti-cancer drug delivery systems

ME Karar, AH El-Garawany, M El-Brawany - Biomedical Signal Processing …, 2020 - Elsevier
This paper introduces a new closed loop fuzzy logic controller for regulating intravenous anti-
cancer drug delivery, based on intuitionistic fuzzy sets and invasive weed optimization (IWO) …

Intelligent control of cardiac rhythms using artificial neural networks

GS Lima, MA Savi, WM Bessa - Nonlinear Dynamics, 2023 - Springer
Cardiac rhythms are related to heart electrical activity, being an essential aspect of the
cardiovascular physiology. Usually, these rhythms are represented by electrocardiograms …

Activity-based tracking and stabilization of human heart rate using fuzzy FO-PID controller

P Khan, Y Khan, S Kumar - … of Emerging and Selected Topics in …, 2021 - ieeexplore.ieee.org
In this article, the unwanted fluctuations ofhuman heart rate are mitigated while regulating it
based on the sensed activity. A control system is designed and analyzed for controlling the …

Adaptive control of cardiac rhythms

G da Silva Lima, M Amorim Savi, W Moreira Bessa - Scientific Reports, 2024 - nature.com
Cardiac rhythms are related to heart electrical activity, being the essential aspect of the
cardiovascular physiology. Usually, these rhythms are represented by electrocardiograms …