Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

“…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
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Design and Development of Inexpensive Paper-Based Chemosensors for Detection of Divalent Copper by Mithra Geetha (14151807)

“…The easy preparation and high stability of dye solutions, easy functionalization of the paper-based sensors, high selectivity over other cations, low interference of counter anion, and significantly low detection limit of 2.23 ppm make it an effective Cu²⁺ ion sensor for real-time application in near future.…”

The distribution of Blastocystis subtypes in isolates from Qatar by Marawan Abu-Madi (2816869)

“…Both ST1 and ST3 showed significant differences in prevalence between the sexes. …”

A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

“…The proposed approach transforms time-series side-channel data- including power consumption, electromagnetic emissions, and timing information-into two distinct image-based representations using Markov Transition Fields (MTF) and a reshaping technique. …”

Impacts of ultrasonication time and surfactants on stability and optical properties of CuO, Fe₃O₄, and CNTs/water nanofluids for spectrum selective applicatio... by Muhammad Usman Sajid (14778232)

“…Furthermore, various surfactants (anionic, cationic, and polymer) were added to the base fluid. The study results revealed that surfactants have a significant effect on the stability of nanofluids over ultrasonication time. …”

Holistic Transitional Approach of Humanitarian Shelters Through The Implementation of Adaptable Design Strategies. by ALSHALABI, WASEEM

“…The issue of forcibly displaced portions of a population has become an emerging global trend that is driven by significantly increased numbers of displaced people. …”
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Investigating the Effectiveness and Teachers’ Perceptions of Rigorous Curriculum Design for Project-Based Learning Implementation on Middle School Science Students’ Achievement and... by ASSAF, NOURA FOUAD

“…Background and Purpose: Project-based learning (PBL) is an active student-centered instructional that has been explored in various contexts of schooling over the years. …”
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READINESS OF NURSING STUDENTS AND NEW NURSING GRADUATES FOR EVIDENCE-BASED PRACTICE IN THE UAE by Al Hmaimat, Nathira

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Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system by Sampath Rajapaksha (17541411)

“…The controller area network (CAN) provides near real-time data transmission between ECUs with adequate reliability for in-vehicle communication. …”

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…<p>Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. …”

AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

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Multidimensional Risk-Based Real Options Valuation for Low-Carbon Cogeneration Pathways by Houd Al-Obaidli (19365520)

“…<p dir="ltr">Energy price fluctuations pose a significant risk and uncertainty to financial investments for new developments in conventional power and freshwater cogeneration facilities. …”

Novel interpretable and robust web-based AI platform for phishing email detection by Abdulla Al-Subaiey (19757007)

“…This research offers a practical and highly accurate solution, contributing to the fight against phishing by empowering users with a real-time web-based application for phishing email detection.…”

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models by Md. Sakib Bin Islam (22828181)

“…Our article proposes a vision-based system for real-time drone identification and classification utilizing YOLOv5, YOLOv8, and GELAN-E deep learning models, enhanced with novel attention mechanisms and interpretability techniques. …”

U-model Based Adaptive Tracking Scheme for Unknown MIMO Bilinear Systems by Azhar, A.S.S.

“…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on radial basis functions neural networks which is known for mapping any nonlinear function. …”
Get full text
Get full text

U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

“…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
Get full text

U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

“…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
Get full text

U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

“…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
Get full text

Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement by Sait, Sadiq M.

“…However, depending on the size of the problem, it may have large run-time requirements. One practical approach to speed up its execution is to parallelize it. …”
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