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Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

“…To evaluate such performance, it is necessary to consider a number of performance metrics that play important roles during the evaluation and comparison of investigated algorithms based on their best-simulated results. …”
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Analysing ratio-based controllers against motivational game theory in peer-to-peer renewable energy trading by Abdullah Azahari, Abdul Aziz, Mohamad Hanif, Noor Hazrin Hany, Mohamed, Martina Muhaizira

“…A comparative analysis is conducted against a second controller employing a Motivational Game Theory (MGT) algorithm that incorporates prioritization of energy distribution based on price adjustments. …”
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Malaysia solar energy experience: intelligent fault location algorithm for unbalanced radial distribution network including PV systems by Farzan, Payam, Izadi, Mahdi, Gomes, Chandima, Hesamian, Mohammad Hesam

“…This paper presents a novel fault location algorithm based on the recording of short circuit power values at the primary substation of unbalanced radial distribution networks including PV systems. …”
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AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

“…This project concerns the design and fabrication of the Automated Guided Robot (AGR) prototype, utilizing artificial intelligence (AI) and genetic algorithm (GA) as a mainframe in helping the robot to generate a self-understanding of the area of work and mobilization to a destination desired by the user. …”
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Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof by Mohd Yusof, Nor Azeala

“…Therefore, this research aims to analyse the randomness of 3D-AES, a local SPN-based block cipher algorithm. Specifically, the randomness test is performed using the NIST Statistical Test Suite which consists of 15 statistical tests. …”
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Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

“…Initially proposed for continuous domains, WOA mimics the hunting behavior of humpback whales and has been adapted for discrete domains through modifications. This paper presents a novel discrete Whale Optimization Algorithm approach, integrating the strengths of population-based and local-search algorithms for addressing the examination timetabling problem, a significant challenge many educational institutions face. …”
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Optimizing decentralized exam timetabling with a discrete whale optimization algorithm by Emily Sing Kiang Siew, San nah sze, Say leng goh

“…Initially proposed for continuous domains, WOA mimics the hunting behavior of humpback whales and has been adapted for discrete domains through modifications. This paper presents a novel discrete Whale Optimization Algorithm approach, integrating the strengths of population-based and local-search algorithms for addressing the examination timetabling problem, a significant challenge many educational institutions face. …”
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Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

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Control action based on steady-state security assessment using an artificial neural network by Al-Masri, Ahmed Naufal A., Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Mariun, Norman, Yusof, Sallehhudin

“…In this paper, the application of an Artificial Neural Network (ANN) for remedial action of a power system is presented. The aims of this study are to find the significant control action that alleviates a bus voltage violation of a power system and to demonstrate the ability of a neural network in terms of evaluating the generation re-dispatch and load shedding amounts. …”
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Re: Gen - web-based resume generator with content recommender for it job field / Nurul Syahmina Mohd Khairuddin … [et al.] by Mohd Khairuddin, Nurul Syahmina, Ahmadon, Fadzlin, Hashim, Madihah Hannani, Mohd Vauxhall, Nur Ain Emylia

“…Waterfall model has been chosen as the methodology because the project is being developed step by step from requirement gathering and analysis to testing and evaluation. Content-based recommendation algorithm is implemented into the system as it can recommend the best skill content suitable for a job application. …”
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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill by Abunama, Taher, Othman, Faridah, Ansari, Mozafar, El-Shafie, Ahmed

“…In developing countries, the accurate evaluation of leachate generation rates has often considered a challenge due to the lack of reliable data and high measurement costs. …”
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Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling by Anuar, Nurul Izah

“…The experimentations of the proposed algorithm are conducted using existing benchmark instances and a published case study on an energy-efficient job-shop model. …”
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Vehicle pick-up and drop-off schedule optimization in a university setting by Teo, Chun Kit

“…Lateness will be removed using a lateness waiting time rollback mechanism. A simulated annealing-based multi-directional iterative local search algorithm is employed for solution optimization. …”
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Geospatial AI-based approach to assess the spatiotemporal suitability of onshore wind-solar farms in Iraq by Sachit, Mourtadha Sarhan Almushattat

“…To achieve the research goal, a four-stage methodology was drawn. A system of spatial evaluation criteria was first designed based on literature statistics and expert judgments supported by content validity analysis. …”
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques by Jifroudi, Hamidreza Maskani

“…In the next step, noise and roof errors were removed using KNN filter and a new network was created and re-evaluated based on the shortest distance in the LiDAR point cloud to create an integrated DTM. …”
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Deep learning in public health: Comparative predictive models for COVID-19 case forecasting by Muhammad Usman Tariq, Muhammad Usman Tariq, Ismail, Shuhaida

“…After a thorough evaluation, the model architectures most suitable for the specific conditions in the UAE and Malaysia were identified. …”
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels by Mfarej, Sumaya Dhari Awad

“…Although the conventional algorithm, MMSE, outperforms the pro�posed algorithms when the number of pilots increased but it is not applicable in real transmission as it is required prior knowledge about the channel statistic which is not the case with DL-based estimators which rely only on the pilots. …”
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Sudoku Generator based on hybrid algorithm / Faridah Abdul Rahman by Abdul Rahman, Faridah

“…The objectives this research are to investigate hybrid algorithm in game generator, to develop Sudoku generator based on hybrid algorithm and lastly to test and evaluate the Sudoku generator using time comparison. …”
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Query proof structure caching for incremental evaluation of tabled prolog programs / Taher Muhammad Ali by Taher Muhammad, Ali

“…The basic idea of our approach is that, as the PROLOG inference engine evaluates the query for the first time, the answers returned by the engine for the query are converted into a justification-based truth-maintenance system (JTMS) network. …”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion by Haque, Ariful

“…Often, MC/DC can reduce the number of test cases dramatically and ensure critical paths are tested. To generate test cases that satisfy MC/DC criterion, many researchers adopt neighborhood based meta-heuristics algorithms (including that of Simulated Annealing and Hill Climbing) as the problem itself is neighborhood based. …”
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