SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network by Abbas, Nadine

“…Integrating device-to-device (D2D) cooperation with mobile edge computing (MEC) for computation offloading has proven to be an effective method for extending the system capabilities of low-end devices to run complex applications. …”
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Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models by Mahmoud A. Soliman (17346778)

“…A new objective function that depends on the current error is proposed in this study, which the AV–GWO minimizes to precisely estimate the optimal nine parameters of such TDM. The nine electrical parameters attained through the hybrid AV–GWO approach are compared with that obtained via other meta-heuristic methods. …”

Effect of Ni/SiO₂ catalyst preparation method on methane decomposition and CO₂ gasification cycles by Ahmed M.S. Soliman (10202950)

“…<p dir="ltr">Catalytic methane decomposition is a promising reaction to produce CO₂-free hydrogen from methane-rich feedstock with solid carbon as a by-product. Significant research conducted on this reaction to find ways to manage and utilize this solid carbon. …”

Prospective study to optimize the health of patients with TIAS (transient ischemic attack) and stroke admitted to the Hamad General Hospital by Yahia Z. Imam (9401836)

“…Hence, we planned a randomized controlled trial assessing nurses or pharmacists-led aggressive control of comorbidities and their prognostic impact on IS and transient ischemic attacks (TIA).</p><h3>Methods/design</h3><p dir="ltr">Prospective study to optimize the health of patients with TIAs and stroke admitted to the Hamad General Hospital (PROMOTE HEALTH) is an assessor-blinded, open-label, randomized, two-arm, controlled trial. …”

Optimizing and control of effective synthesize parameters for Fe3O4 nanoparticles using response surface methodology by Muneer M. Ba-Abbad (14151660)

“…The quadratic model predicted by the Box–Behnken design was significant with a P value of < 0.0001. The optimum synthesis conditions were predicted by the model indicating optimum size obtained using 1.00 mol Fe2+ ion with 3.00 mol Fe3+ ion with pH at 12.00. …”

Effective Curriculum Implementation for Optimal Teaching and Learning Experience A study conducted in a private school in Dubai by HAQUE, AAISHA

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Whole genome sequencing of marine organisms by Oxford Nanopore Technologies: Assessment and optimization of HMW‐DNA extraction protocols by Sonia Boughattas (508422)

“…In this work, we sought to resolve this issue by describing an optimized isolation method and comparing its performance with the most commonly reported protocols or commercial kits: SDS/phenol–chloroform method, Qiagen Genomic Tips kit, Qiagen DNeasy Plant mini kit, a modified protocol of Qiagen DNeasy Plant kit, Qiagen DNeasy Blood and Tissue kit, and Qiagen Qiamp DNA Stool mini kit. …”

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems by Majdi Mansouri (16869885)

“…The proposed improved ABO method consists in reducing the number of samples in the training data set using the Euclidean distance and extracting the most significant features from the reduced data using ABO algorithm. …”

Development of a Flexible Framework Multi-Design Optimization Scheme for a Hand Launched Fuel Cell-Powered UAV by Al Rayes, Zaid

“…Optimization results showed a significant improvement in UAV flight endurance that reached up to 475 min with take-off ratio equals to 59 min/kg. …”
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Electric Grid Resilience Enhancement During Natural Disasters: An Optimization-Based UAV Inspection and Dynamic Crew Dispatch Model by Serag, Yousef

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Optimizing pain management and pupil dilation in cataract surgery: a systematic review and meta-analysis of phenylephrine/ketorolac (OMIDRIA®) by Mohamed Abo Zeid (20020680)

“…<h3>Purpose</h3><p dir="ltr">This systematic review and meta-analysis aims to evaluate the efficacy and safety of the combination of phenylephrine 1% and ketorolac 0.3% (OMIDRIA®) for optimizing pain management and maintaining pupil dilation during cataract surgery. …”

A Real-Time Energy Management System Across Diverse Energy Sectors in Smart Cities by Alshamsi, Aisha Rashid

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Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance by Zouhaier Farhani (22330693)

A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System by Mohamed Amjath (17542512)

Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model by Raseena M. Haris (17773470)

“…These findings underscore the practical advantages of our method in reducing service disruptions during live virtual machine migration in cloud systems.…”

Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach by Arshad Ali Khan (23152516)

“…For instance, the model achieved a precision of 0.97, a recall of 0.97, and an overall accuracy of 0.9544 percent, outperforming baseline methods significantly in all metrics. These improvements underscore the effectiveness of Genetic Algorithms in optimizing the model.…”

Optimizing Recovery: A Systematic Scoping Review of Upper Extremity Exercise Immediately after Cardiac Implantable Electronic Device Implantation by Praveen Jayaprabha Surendran (22225510)

Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization by Ahila Amarnath (19482388)

“…<p dir="ltr">Speckle noise is a pervasive problem in medical imaging, and conventional methods for despeckling often lead to loss of edge information due to smoothing. …”

Energy storage technologies: An integrated survey of developments, global economical/environmental effects, optimal scheduling model, and sustainable adaption policies by Mohammad, Amir

“…Energy Storage Technology is one of the major components of renewable energy integration and decarbonization of world energy systems. It significantly benefits addressing ancillary power services, power quality stability, and power supply reliability. …”
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Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…”