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Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review
Published 2022“…The growth of the SDO algorithm and its application in various areas, theoretical analysis, and comparison with its preceding and other algorithms are also described in detail. …”
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Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review
Published 2022“…The growth of the SDO algorithm and its application in various areas, theoretical analysis, and comparison with its preceding and other algorithms are also described in detail. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
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Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
Published 2017“…In the future, the efficiency of the result will be improved based on technology growth with adding some application such as GPS and map of the house in mobile version.…”
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…The rapid growth of Web 2.0 applications, such as blogs and social networks creates rich online information and provides various new sources of knowledge. …”
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IOT-based fertigation system / Mohamad Amir Furqan Darus
Published 2024“…Decision-making algorithms consider factors such as plant type, growth stage, soil composition, and environmental conditions. …”
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Impatient job scheduling under cloud computing
Published 2012“…The limitations of those algorithms were addressed and this leads to the proposition of an algorithm that has the ability to map the impatient jobs to virtual machines near its input, output, application, or forth party. …”
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Reduced Galloping Column Algorithm For Memory Testing
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…Besides, this algorithm provides home users or application developers to implement their own event operators with bespoke syntax for their application purpose by defining cross-events corresponding to the event operators. …”
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Recent advances of whale optimization algorithm, its versions and applications
Published 2024“…One of the SI algorithms is called the whale optimization algorithm (WOA). …”
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Comparison of machine learning algorithms for estimating mangrove age using sentinel 2A at Pulau Tuba, Kedah, Malaysia / Fareena Faris Francis Singaram
Published 2021“…Furthermore, the mangroves age map can help to analyse the age of the mangroves in order to maintain its existence and growth.…”
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Malaysian license plate number detection based on sobel vertical edge algorithm / Siti Nor Azimah Ibrahim
Published 2007“…A License Plate Recognition (LPR) System is one kind of Intelligent Transport systems and is of considerable interest because of its potential applications to areas such as highway electronic toll collection, Traffic Monitoring System and so on. …”
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Tree physiology optimization on SISO and MIMO PID control tuning
Published 2018“…TPO is a metaheuristic algorithm inspired from a plant growth system derived based on the idea of plant architecture and Thornley model (TM). …”
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Tree physiology optimization on SISO and MIMO PID control tuning
Published 2018“…TPO is a metaheuristic algorithm inspired from a plant growth system derived based on the idea of plant architecture and Thornley model (TM). …”
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Modeling the impacts of constant price GDP and population on CO2 emissions using Cobb-Douglas model and ant colony optimization algorithm
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Smart agriculture: precision farming through sensor-based crop monitoring and control system
Published 2024“…Subsequently, four distinct algorithms are trained with the collected dataset to ascertain the most optimal algorithm for predicting crop growth and harvesting time, resulting in the selection of the Random Forest Regression model, which attains the highest model score of 86%. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis
