Search Results - (( developing future trend algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Trend analysis of software engineering scientific publications
Published 2019“…The estimation of the future trend is done by development of the algorithm linear regression algorithm in Matlab. …”
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Undergraduates Project Papers -
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A Systematic Review of Metaheuristic Algorithms in Human Activity Recognition : Applications, Trends, and Challenges
Published 2025“…However, challenges related to computational cost and scalability persist, underscoring key areas for future research. These findings emphasize the potential of metaheuristic algorithms to significantly advance HAR. …”
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A quick gbest guided artificial bee colony algorithm for stock market prices prediction
Published 2018“…The presented approach has been verified and tested to predict the accurate trend of Saudi Stock Market (SSM) values. The proposed QGGABC-ANN based on bio-inspired learning algorithm with its high degree of accuracy could be used as an investment advisor for the investors and traders in the future of SSM. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
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Bibliometric analysis of AI-driven FinTech revolution: mapping global trends, thematic evolution, and future directions
Published 2026“…This study presents a full map of AI-powered FinTech scholarly research, outlining research topics, trends, and perspectives of future research, offering valuable insights for scholars, policymakers, and industry champions to navigate the changing AI landscape of the financial services sector.…”
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Forecast of Muslimah fashion trends in Caca's company / Muhammad Saifullah Mohd Taip
Published 2023“…The results showed that the decision tree algorithm had a higher accuracy of 100% for category prediction, 47% for colour prediction, and 65% for size prediction, while the random forest algorithm had a higher accuracy of 100% for category prediction, 85% for colour prediction, and 91% for size prediction. …”
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Student Project -
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Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
Published 2019“…In this paper, we present recent progress on the application of nature inspired algorithms in deep learning. The survey pointed out recent development issues, strengths, weaknesses and prospects for future research. …”
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Proceeding Paper -
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Artificial intelligence (AI) and its application in architecture design: a thematic review
Published 2025“…Despite the growing number of publications on AI and architectural design, comprehensive reviews are lacking in exploring its evolution, strategies, and future directions. Few researchers have conducted a thorough inventory of AI’s impact on architectural design or mapped current trends. …”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…The study findings indicate a growing and broader trend towards the integration of metaheuristics and optimization algorithms, echoing the interdisciplinary nature of this domain. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…GDP forecasting is aided by the genetic algorithm radial basis neural network, which allows the government to make timely and effective macrocontrol plans based on the forecast trend of GDP in the region. …”
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A review on the applications of PSO-based algorithm in demand side management: Challenges and opportunities
Published 2023“…The research works of the PSO algorithm in DSM have seen an increasing trend in the past decade. …”
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Sales Prediction Using Artificial Neural Network
Published 2023“…In conclusion, the proposed ANN model can assist business owners in making better decisions by forecasting future sales, identifying patterns and trends in the dataset.…”
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Undergraduates Project Papers -
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A comprehensive review of optimization techniques in industrial applications: Trends, classifications, and future directions
Published 2025“…The research contribution of this review is to provide a structured classification of optimization methods—namely exact algorithms, heuristics, metaheuristics, and AI-integrated hybrid models—and to critically evaluate their practical applications, limitations, and emerging trends across industries. …”
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Enhancing generality of meta-heuristic algorithms through adaptive selection and hybridization
Published 2018“…In this paper, we review the meta-heuristic and hyper-heuristic algorithms in order to highlight the current-state-of-the-arts and suggest areas for future research.…”
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Conference or Workshop Item -
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Optimizing wireless sensor networks: A survey of clustering strategies and algorithms
Published 2024“…The discussion explains the strategies of different algorithms, advantages, and disadvantages. Moreover, the issues discussed in the study address the present-day concerns and the future research trends of enhancing clustering algorithms of WSNs. …”
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Assisting novice researchers in utilizing the web as a platform for research: Semantic approach
Published 2023“…The algorithms involved with each of the support features will be discussed. …”
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Recent Trends and Open Challenges in EEG based Brain-Computer Interface Systems
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Prediction of epidemic trends in COVID-19 with Mann-Kendall and recurrent forecasting-singular spectrum analysis
Published 2021“…Nevertheless, enhanced RF-SSA algorithm should to be developed for higher effectivity in capturing any extreme data changes.…”
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