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Engineering and Technology Journal
ISSN 1681-6900 · Unviversity of Technology- Iraq · 4.980 artikel di indeks
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In-chip artificial intelligence technology for generating and self-correcting the topology of low-consumption RC filters
This study presents an innovative self-tuning system for first-class RC filter circuits, specially designed to achieve a target cut-off frequency of 500 kHz with unprecedented accuracy and high energy efficiency. The proposed model is based on a multivariate adaptive tuning algorithm that…
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Electromagnetic analysis of a surface-mounted permanent magnet motor
This study investigates the finite element analysis (FEA) of a surface-mounted permanent magnet motor (SMPMM) using QuickField software. The model was developed by solving Maxwell’s equations on meshed SMPMM geometries, integrating real B-H curve data for laminated steel stator and rotor materials…
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Experimental investigation of applying multi-stage (PID-MRAC) controller for trajectory tracking of four mecanum wheeled mobile robot
This paper presents a practical investigation into the design and implementation of a multi-stage controller, which integrates a Model Reference Adaptive Controller (MRAC) with a Proportional-Integral-Derivative (PID) controller for trajectory tracking control in a Four Mecanum Wheels Mobile Robot…
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Comparative study on finite time tracking design based on PID for 1-degree of freedom manipulator
In this paper, the application of Sliding Mode Control (SMC) and its integration with Finite-Time Stability (FTS) for controlling 1-degree of-freedom (DOF) system has been explored. By combining FTS with SMC, the convergence speed is significantly improved, enhancing the system's resistance to…
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Optimizing parameters for fiber laser cutting stainless steel 201 to improve kerf width quality
This study investigates the laser cutting of stainless steel 201 using the Response Surface Methodology with a 32-run experimental design (L32). The responses are top and bottom kerf width, while laser power, cutting speed, frequency, focal position, and gas pressure are selected as input process…
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An optimal area power system-based automatic load frequency control using a 1-D lookup table method
Automatic load frequency control (ALFC) is an important part of auxiliary services in power systems. To sustain system accuracy and ensure the safety of power systems, ALFC system design is a vital issue. Power system networks must quickly address the imbalance between generation and demand, or…
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A review of smart actuation technologies in modern mechatronic systems
Smart actuation has transformed mechatronics over the past six years by harnessing materials that turn heat, electricity, magnetism, or light into finely tuned motion. Our survey of developments from 2019 to 2025 reveals clear trade-offs: electro-active polymers can stretch beyond 200% but operate…
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Design and control of wireless charging system for electric vehicle
This study concentrated on utilizing a neural network controller and inductive power transfer to enhance the electric vehicle charging. Electric vehicles are a key transportation system component since they lower fuel costs, noise levels, and carbon emissions. The charging duration and operational…
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Disaster management-based internet of things using wireless sensor networks
Wireless Sensor Networks (WSNs) have become essential in the monitoring and managing environmental disasters, providing real-time data collection and transmission functionalities. Their application is especially crucial in flood-prone areas, where prompt detection and action can reduce substantial…
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Evaluating the performance of an electrocoagulation process using response surface methods for textile wastewater treatment
The textile industry is one of the largest polluters of water resources, producing effluents containing complex mixtures of pollutants such as dyes, heavy metals, and high biological oxygen demand. Electrocoagulation (EC) is an efficient wastewater treatment technique that uses iron or aluminum…
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Progress of nanomaterials incorporation into PVDF membrane distillation: characteristics enhancement, nanomaterials leaching and stability: A review
Membrane distillation (MD) faces challenges in the form of diminished permeate flux attributed to the loss of hydrophobicity with time. Nanomaterials play an essential role in enhancing the performance of MD through membrane modification during formation or surface modification. Numerous…
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Photodegradation of paracetamol using TiO2 in a rectangular bubble column reactor
Surface water, wastewater, and drinking water have all been found to contain paracetamol and its toxic breakdown products. Effective ways to degrade these products must be discovered to lessen their harmful effects on aquatic microorganisms and human health. The study focuses on finding effective…
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Investigating the role of solvent extraction in altering pH levels for efficient Neodymium extraction from magnet scrap
Recycling rare earth elements, specifically neodymium from magnet scrap, is crucial for advancing sustainable technologies across various industries. In this research, neodymium was recovered by solvent extraction using a stock solution prepared in 200 mL by dissolving 1 g of neodymium (III)…
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The effect of synthetic minority oversampling for enhancing brain tumor image classification
Brain tumors are among the most serious neurological diseases, posing significant diagnostic challenges due to their diverse nature and complexity imbalance in medical imaging datasets. To address these challenges, machine learning (ML) has demonstrated high potential in brain tumor classification…
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AI-driven attacks on database security: taxonomy and defense strategies
Artificial intelligence has introduced both unprecedented capabilities and novel vulnerabilities into database environments, enabling highly adaptive attacks that can evade traditional defenses. This review surveys recent research published between 2022 and 2025 on AI-assisted database security…
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Traditional machine learning techniques for explainable AI in lung and colon cancer classification
Lung and colon cancers are two of the most common and deadly tumors around the world, creating significant public health concerns. Artificial intelligence (AI) and machine learning (ML) have heavily improved cancer research, particularly in early detection, histopathological analysis, and…
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A comparative study of viscoelastic characteristics in polymer composite with respect to the damping performance and structural behavior
This study systematically investigates the viscoelastic characteristics and damping performance of polymer composites, examining the interplay between filler morphology, matrix-filler interactions, and structural behavior. The purpose is to understand and predict how different fillers influence key…
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Robot path planning using enhanced Q-learning algorithm based on single parameter.
One of the challenging aspects of robot navigation is path planning in a dynamic environment. The Q-learning algorithm is one of the reinforcement learning techniques that can be applied to the path planning of a mobile robot. The vital algorithm for any intelligent mobile robot is path planning…
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An optimize canny algorithm with traditional machine learning for edge detection enhancement
Edge detection still represents a major challenge in image processing and computer vision because of the complexity and variability of real-world images. The canny algorithm is powerful in detecting edges. However, it is sensitive to noise, and as a result, may produce weak edges. The use of…
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Impact of laser energy on the synthesis and antibacterial performance of CdO nanomaterials
The objective of the current work is to evaluate the antibacterial efficiency of cadmium oxide nanomaterials (CdO NPs) produced through pulsed laser ablation in liquid (PLAL) with laser energy ranging from 400 to 600 mJ. Several characterization techniques, including X-ray diffraction (XRD), UV-Vis…
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