Search Results - (( developing transition selection algorithm ) OR ( java application stemming algorithm ))

Fast shot boundary detection based on separable moments and support vector machine by Idan, Zinah N., Abdulhussain, Sadiq H., Mahmmod, Basheera M., Al-Utaibi, Khaled A., Syed Abdul Rahman Al-, Syed Abdul Rahman Al-Hadad, Sait, Sadiq M.

“…Moreover, for the proposed SBD algorithm, a comparative study is performed with state-of-the-art algorithms. …”
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An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective by Mousavi, Seyed Mohsen, Sadeghi R., Kiarash, Lee, Lai Soon

“…The selected cases are the river pollution problem, the urban transit network design problem, and the resilience problem. …”
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Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems by Yasear, Shaymah Akram

“…Harris’s hawk multi-objective optimizer (HHMO) algorithm is a MOSIbased algorithm that was developed based on the reference point approach. …”
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Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications by Chuan, Zun Liang, Tan, Lit Ken, Wee, Angel Chi Chyin, Yim Hin, Tham, Shao, Jie Ong, Jia, Yi Low, Chong, Yeh Sai

“…In academia, this study proposed an innovative SLR-MLR predictive algorithm and utilized a novel statistical approach to evaluate and select the superior predictive algorithm. …”
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An efficient fault syndromes simulator for SRAM memories by Wan Hasan, Wan Zuha, Abdul Halin, Izhal, Mohd Sidek, Roslina, Othman, Masuri

“…Due to this, a systematic approach for developing and evaluating memory test algorithm is required. …”
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Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023 by Soomro, Anam, Zakariyah, Habeebullah, Aftab, S.M.A., Muflehi, Mohamad, Shah, Asadullah, Meraj, Syeda

“…This study conducts a systematic literature review (SLR) on the prediction of loan defaults using machine learning algorithms (MLAs) from 2020 to 2023. It critically examines the transition from traditional statistical models to advanced ML techniques in assessing credit risk, with a focus on the banking sector's need for reliable default prediction methods. …”
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Optimizing palm oil biomass collection: genetic algorithm approaches in solving location-routing problem by Foo, Fong Yeng, Zaitul Marlizawati Zainuddin, Hang, See Pheng

“…The transition from traditional fossil fuels to renewable energy sources, such as biofuels derived from palm oil biomass, represents a promising avenue in sustainable energy development. …”
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A Simplified Time-Domain Modulation Scheme-Based Maximum Boost Control for Three-Phase Quasi-Z Source Inverters by Sabeur, Nassereddine, Mekhilef, Saad, Masaoud, Ammar

“…Moreover, using a carefully selected shoot-through states the number of the switching transition is significantly decreased as each switch is locked to the positive or negative dc rail during a period of (2π/3). …”
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Multiple and solid data background scheme for testing static single cell faults on SRAM memories by Zakaria, Nor Azura

“…Therefore, the purpose of this thesis is to introduce a Data Background (DB) scheme to generate an optimal March Test Algorithm (MTA) for detecting faults of memory that are undetectable using existing algorithms. …”
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Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin by Husam , N. S. Yasin

“…Thus, the never selected actions can present a higher reward when compared to already executed actions. …”
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Iterative Simulation-Based Design of a Multi Input Controller for a Hybrid Renewable Energy System by Abdullahi, Inusa

“…The model-depicted curves of sequential transition trajectory contour, logic truth table, etc. in the practical selection for project work. …”
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

“…It can help safety managers develop a comprehensive understanding of risk based on traditional engineering risk assessment principles, facilitating the transition from the Safety I to Safety II paradigm. …”
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Skyline queries on data with uncertain dimensions for efficient computation by Mohd Saad, Nurul Husna

“…The performance of SkyQUD-T is studied against two naïve algorithms that are developed to reflect the best-case and worst-case scenarios. …”
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Design of real time intelligent buses notification system for passengers by Muhammad, Rauf

“…Thereby, the extraordinary quality can be shown which is realized by the described algorithms. The experimental results show the promising outcomes. …”
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Tunable Sub-Nanosecond Ultra Wideband Narrow Pulse Generator For Microwave Imaging by Zalzala, Ali Mahdi Jaafar

“…The aforementioned pulse data has been simulated in a locally developed image reconstruction algorithm (EDAS) to detect hypothetical objects and the resultant images show significant quality enhancement in comparison to a Gaussian pulse (or its derivative) with an equivalent duration. …”
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A new switching algorithm based on single-phase modulator for Z-source inverters with reduced computation time and enhanced output voltage / Sabeur Nassereddine by Sabeur , Nassereddine

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Usage count of hydrogen-based hybrid energy storage systems: An analytical review, challenges and future research potentials by Wali S.B., Hannan M.A., Abd Rahman M.S., Alghamdi H.A., Mansor M., Ker P.J., Tiong S.K., Mahlia T.M.I.

“…An extensive comparative study between �usage count� and �citation analysis� among the selected top 100 articles is provided. Moreover, a detailed keyword co-occurrence network (KCN) analysis along with comprehensive reviews concerning HESS modelling, optimization objectives, algorithms, system constraints, and research gaps are presented. …”

Rainfall modeling using two different neural networks improved by metaheuristic algorithms by Sammen S.S., Kisi O., Ehteram M., El-Shafie A., Al-Ansari N., Ghorbani M.A., Bhat S.A., Ahmed A.N., Shahid S.

“…According to the findings, the hybrid MLP�HGSO was selected as an effective rainfall prediction model. � 2023, The Author(s).…”