Hybrid Regressor and Approximation-Based Adaptive Control of Robotic Manipulators with Contact-Free Motion
(19)
(13)
Publication Date
Sun Nov 01 2020
Journal Name
Solid State Technology
Publication Date
Sun Nov 01 2020
Journal Name
Solid State Technology
Access Control Security Review: Concepts and Models
HS Saeed, SS Abdul-Jabbar, SG Mohammed, EA Abed, HS Ibrahem, Solid State Technology, 2020
Publication Date
Mon Dec 26 2011
Journal Name
Journal Of Intelligent Material Systems And Structures
Design and modeling magnetorheological directional control valve
Directional control valves are designed to control direction of flow, while actuators maintain required speeds and precise positions. Magnetorheological (MR) fluid is a controllable fluid. Utilizing the MR fluid properties, direct interface between magnetic fields and fluid power is possible, without the need for mechanical moving parts like spools. This study proposes a design of a four-way three-position MR directional control valve, presents a method of building, and explains the working principle of the valve. An analysis of the design and finite elements using finite element method of magnetism (FEMM) software was performed on each valve. The magnetic circuit of the MR valve was analyzed and the performance was simulated. The
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(22)
Publication Date
Sat Oct 04 2025
Journal Name
Mesopotamian Journal Of Computer Science
Enhanced IOT Cyber-Attack Detection Using Grey Wolf Optimized Feature Selection and Adaptive SMOTE
IoT Security
Cyber-Attack
Grey Wolf Optimizer
Feature Selection
SMOTE
Random Forest
XGBoost
CatBoost
The Internet of Things (IoT) has significantly transformed modern systems through extensive connectivity but has also concurrently introduced considerable cybersecurity risks. Traditional rule-based methods are becoming increasingly insufficient in the face of evolving cyber threats. This study proposes an enhanced methodology utilizing a hybrid machine-learning framework for IoT cyber-attack detection. The framework integrates a Grey Wolf Optimizer (GWO) for optimal feature selection, a customized synthetic minority oversampling technique (SMOTE) for data balancing, and a systematic approach to hyperparameter tuning of ensemble algorithms: Random Forest (RF), XGBoost, and CatBoost. Evaluations on the RT-IoT2022 dataset demonstrat
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Publication Date
Tue Mar 01 2022
Journal Name
Evergreen
(3)
Publication Date
Fri Jul 01 2011
Journal Name
Saudi Pharmaceutical Journal
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(9)
Publication Date
Wed Jan 01 2020
Journal Name
International Journal Of Software & Hardware Research In Engineering
Publication Date
Mon Sep 01 2014
Journal Name
Engineering And Technology Journal
Publication Date
Fri Oct 01 2021
Journal Name
Applied Thermal Engineering
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(70)
Publication Date
Tue Feb 01 2022
Journal Name
Baghdad Science Journal
Milk Tumor Necrosis Factor Alpha and Interleukin-1Beta Among Toxoplasma gondii-Free and Infected Women
Infected mother
IL1β
Postpartum
TNF-α
Toxoplasma gondii
Pro-inflammatory cytokines play an important role in intercellular communications. In the last two decades, many cytokines have been identified in human milk. These cytokines are variable according to different conditions such as pathogenic infections which strongly stimulated the immune response. The present study aims to determine of IL1β and TNF-α in Toxoplasma gondii-free and infected women in an attempt to clarify the impacts of the infections on cytokines especially in mother's milk. The serum and milk sample were collected from 96 samples (48 for seropositive and 48 for seronegative). To confirm the Toxoplasma gondii infection; enzyme linked immunofluorescence assay (ELIFA) was used to detect anti-Toxoplasma Ig
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