Search Results - (( java implication based algorithm ) OR ( knowledge generation gap algorithm ))
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Biopattern: a biomimetic design framework for generating bio-inspired design (biomimicry)
Published 2020“…However, there is a huge knowledge gap between engineering and biology where engineers are unable to crossover. …”
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Test case minimization applying firefly algorithm
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Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology
Published 2024“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The fast growing size of databases has resulted in a great demand for tools capable of analyzing data with the aim of discovering new knowledge and patterns. These tools will hopefully close the gap between the steady growth of information and the escalating demand to understand and discover the value of such knowledge. …”
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Multilingual Sentiment Analysis From Students Feedback: Optimal Techniques And Resources For Bengali Lingual Data
Published 2024thesis::doctoral thesis -
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Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…This research starts with reviewing the previous researches to find the gap in knowledge and find the possible solutions of the gap found. …”
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A test case generation framework based on UML statechart diagram
Published 2018“…Unfortunately, existing studies in this domain are not sufficiently comprehensive in describing the major processes of the automated test case generation. Furthermore, the algorithms used for test case generation are not provided or well described. …”
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A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube
Published 2023“…As applications generate massive amounts of data streams, the requirement for ways to analyze and cluster this data has become a critical field of research for knowledge discovery. …”
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah
Published 2022“…Finally, the proposed algorithm’s effectiveness regarding node coverage, energy consumption, Pareto-optimal value, and algorithm execution time is validated using three Pareto-optimal metrics: including inverted generation distance (IGD), hypervolume, and diversity. …”
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks
Published 2022“…Finally, the proposed algorithm's effectiveness regarding node coverage, energy consumption, Pareto-optimal value, and algorithm execution time is validated using three Pareto-optimal metrics: including inverted generation distance (IGD), hypervolume, and diversity. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Feature selection for financial data classification: Islamic finance application
Published 2019“…Hence, this study aims to address such gap in the literature through the use of real-world data in Islamic finance to evaluate the improvement that generated by feature selection method. …”
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Multi-modality ontology semantic image retrieval with user interaction model / Mohd Suffian Sulaiman
Published 2020“…This semantic technology is chosen due to the ability to mine, interpret and organise the knowledge. Ontology can be seen as a knowledge base that can be used to improve the image retrieval process with the aim of reducing the semantic gap between visual features and high-level semantics. …”
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Artificial intelligence revolutionising the automotive sector: A comprehensive review of current insights, challenges, and future scope
Published 2025“…Additionally, the proposed conceptual framework for real-time condition monitoring of electric vehicle subsystems delivers actionable maintenance recommendations to stakeholders, addressing a critical gap in the field. The review highlights that AI has significantly expedited the development of autonomous vehicles regarding navigation, decision-making, and safety features through the use of advanced algorithms and deep learning structures. …”
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Prototype development of Web AI-based decision support system: insights and recommendations for satellite anomaly identification
Published 2025“…The proposed Web AI-based DSS framework integrates Machine Learning (ML) based Trade-Space Exploration (TSE) as the model base and Generative AI as the knowledge base to offer insights and recommendations for anomaly prevention and decision making prior to the launch of the satellite into orbit. …”
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Proceeding Paper
