Search Results - (( development team optimization algorithm ) OR ( java using optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Some metaheuristic algorithms for solving multiple cross-functional team selection problems by Ngo, S.T., Jaafar, J., Izzatdin, A.A., Tong, G.T., Bui, A.N.

“…We introduced a method that combines a compromise programming (CP) approach and metaheuristic algorithms, including the genetic algorithm (GA) and ant colony optimization (ACO), to solve the proposed optimization problem. …”
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Wireless Coverage for Mobile Users in Dynamic Environments Using UAV by Sawalmeh A.H., Othman N.S., Shakhatreh H., Khreishah A.

Data clustering using the bees algorithm by Pham, D.T, Otri, S., Afify, A., Mahmuddin, Massudi, Al-Jabbouli, H.

“…The authors’ team have developed a new population based search algorithm called the Bees Algorithm that is capable of locating near optimal solutions efficiently. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

“…TCP factors and a weighted fitness function are also used for test case optimisation. The contributions of this study straddle research perspectives of enhancing Regression Testing with Particle Swarm-Artificial Bee Colony Algorithm, and practical perspectives by providing software testing practitioners the TCP framework that can facilitate and accelerate the production of high-quality software products by revealing faults early and reducing time, cost, and human efforts through automation.…”
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Fuzzy adaptive emperor penguin optimizer for global optimization problems by Md Abdul, Kader

“…The Emperor Penguin Optimizer (EPO) is a recently developed population-based metaheuristic algorithm that simulates the huddling behaviour of emperor penguins. …”
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An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem by Kader, Md. Abdul, Zamli, Kamal Z., Alkazemi, Basem Yousef

“…Emperor Penguin Optimizer (EPO) is a recently developed population-based meta-heuristic algorithm that simulates the huddling behavior of emperor penguins. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Secondly, an expert system using Java programming technology with two tiers of search engine was developed to perform a fast selection of candidate materials in huge volume. …”
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The effectiveness of an agile software methodology: empirical evidence on humanistic aspects / Mazni Omar by Omar, Mazni

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Shared mental model as an enabler of Malaysia waqf land development by Ismail, Nur Azlin, Omar, Ismail, Abu Bakar, Mohamad Noor Ropiah, Suhaili, Nur Aqidah, Hussin, Rohayati

“…The adoption and adaption cycle was going so quickly along the waqf land development. 2.SMM also being interacted by other indirect team members. who involves in the WSA development 3. …”
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Development of optimized maintenance scheduling model for coal-fired power plant boiler by Noor Fazreen Binti Ahmad Fuzi, Ms.

“…The optimal schedules obtained were compared with the actual based on parameters and judgement from power plant planning team. …”

A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm by Hasan, Md Munirul

“…The network performance (e.g., packet delivery ratio nearing 80-90%) also demonstrates the capability of CP-AGCM to provide ProSe in the post-flood scenarios and optimality of efficient search algorithm.…”
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Abnormalities detection in apert syndrome using hierarchical clustering algorithms by Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff

“…This guidance has the potential to optimize surgical outcomes and reduce the risk of potential complications.…”
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Developing best practice guidelines for oral cancer management in Malaysia / Aznilawati Abdul Aziz by Aznilawati, Abdul Aziz

“…The draft version of the Malaysian guidelines comprised three sections (Section 1: Introduction, Section II: Development of the guidelines and Section III: eighty-eight clinical recommendations and summary of the evidence) and an algorithm of the whole process of oral cancer management. …”
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Developing NARX Neural Networks for Accurate Water Level Forecasting by Basri H., Razak M.A., Sidek L.M.