Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine حسب Debendra Muduli (20748758)

"…In this MOD-POA+ELM algorithm, the modified pelican optimization algorithm (MOD-POA) has been utilized to optimize the parameters of ELM’s hidden neurons. …"

An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

"…In this paper, a recent swarm intelligence metaheuristic method called RSO which is inspired by the social and hunting behavior of a group of rats is enhanced and explored for FS problems. The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"

Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link حسب Bayan Hussein (16904856)

Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

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An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications حسب Abu Zitar, Raed

"…In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. …"
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Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests حسب Kenneth V. Price (17877002)

"…<p>Non-parametric tests can determine the better of two stochastic optimization algorithms when benchmarking results are ordinal—like the final fitness values of multiple trials—but for many benchmarks, a trial can also terminate once it reaches a prespecified target value. …"

Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

"…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches حسب Abdulla Alhajeri, Rashed

"…It is important to choose the right cleaning strategy (method and frequency) to maximize the electricity production and economic performance of the PV facility. An optimization algorithm was developed and tested for multiple PV panel configurations based in Dubai Water and Electricity Authority’s (DEWA) outdoor test facil ity (OTF) solar lab. …"
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A Deployment Optimization Model for Wimax Base-Stations حسب Aboualmal, Abdulhadi Mahmoud

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Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

"…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …"
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Enhancing fairness and scalability in IOTA tangle networks: a POMDP-based tip selection algorithm for decentralized systems حسب Mays Alshaikhli (22564811)

"…Extensive simulations demonstrate that the POMDP-based TSA confirms up to 107 transactions at optimal lambda values, outperforming existing algorithms like Weighted TSA by 328% in efficiency. …"

An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring حسب Nitin Goyal (7876730)

"…Range-based schemes depend on various techniques like angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), and received signal strength indicator (RSSI). …"

A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

"…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …"
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Parallel scatter search algorithms for exam timetabling. (c2009) حسب Haidar, Ghia Abdullah Sleiman

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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images حسب Ahila A (18394806)

"…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. Here, breast ultrasound (US) images are preprocessed with a sigmoid filter followed by interference-based despeckling and then by anisotropic diffusion. …"

Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches حسب ALHAJERI, RASHED ABDULLA

"…It is important to choose the correct cleaning method, frequency, and approach to ensure that the best practices are being used on the basis of both economic and technical criteria. To optimize the cleaning practices, an algorithm was developed by the author based on the literature review and economic analysis, and was run for multiple panels and tilts at the DEWA OTF solar lab in Dubai, UAE. …"
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Learning-Based Automatic Modulation Classification حسب Abdelmutalab, Ameen Elsiddig

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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

"…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"

Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures حسب JUMA, MAZEN GHAZI

"…The technology stack was also enhanced with three new algorithms and five protocols. The proposed solution was optimized using the iterative four-objective cycle based on previous primary phase results. …"
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. Extensive simulations show that our model outperforms competitive methods by around 29% in terms of latency and around 23% in terms of transmission power improvements while delivering results comparable to the traditional LDTP optimization solution by around 9% in terms of latency.…"