Search Results - (( developing theme application algorithm ) OR ( java application stemming algorithm ))
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A qualitative study of families of Edwards Curves and their applications in cryptography / Nurul Azwa Kamaruddin and Nurul Ain Mustakim
Published 2012“…Many previous researches focused on elliptic curve and its applications in mobile communication. The purpose of the qualitative study is to explore and develop basic understanding of the properties of the families of Edwards curves, one of the special forms of elliptic curves, and their applications in cryptography, using grounded theory approach, in which the data are hand-analyzed, coded and grouped into themes under study. …”
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Research Reports -
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Raising kids in the age of algorithms challenges of digital parenting
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Book Chapter -
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A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…A thematic analysis of 40 peer-reviewed articles was conducted using ATLAS.ti, revealing three dominant research themes: intelligent algorithms, building performance simulation techniques, and adaptive design for climate change. …”
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Artificial intelligence (AI) and its application in architecture design: a thematic review
Published 2025“…The analysis identified six primary themes: 1) Architecture and Science, which includes research on complex systems, genetic algorithms, and machine learning;2) Architecture and Construction Management, including the development of frameworks that support decision making; architecture and interior design, which includes work on space-planning optimization and furniture and occupant arrangement;3) Architecture Interior Design; 4) Architecture and Urban; which encompasses attempts to develop tools to help design new cities; architectural engineering, where building performance analysis was the most-common AI application; 5) Architectural Engineering; and 6) Design Education and Training, in which AI appears most promising for advancing problem-based learning. …”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…Employing an analysis of publications, this study maps the historical development, key terms and the most dominant works in this field. …”
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Classification for Quran authentication using characters and diacritics hashed values
Published 2024journal::journal article -
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A hybrid of fuzzy c-means clustering and Latent Dirichlet Allocation for analysing philanthropic corporate social responsibility activities / Nik Siti Madihah Nik Mangsor
Published 2023“…This study has extended document clustering technique by integrating the traditional document clustering application with topic modeling approach. This integrated approach is able to produce precise results where it can help infer more coherent themes of PCSR activities. …”
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Identification of Quran recitation segment from speech video recording / Liliana Nulkasim @ Mohd Kassim
Published 2017“…Identifying Quran recitation segment from speech video recording has become one of an active research themes in speech processing and in application based on Quran education. …”
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The design for antrophomorphic sociable agent interaction through emotion detection
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Conference or Workshop Item -
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Discrepancy and thematic bibliometric analyses of the remaining limitations in artificial intelligence
Published 2024“…Additionally, this study commends the ongoing efforts to harness AI’s computational power and algorithmic innovations to enhance AI’s overall performance and applicability.…”
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Proceeding Paper -
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Shared mental model as an enabler of Malaysia waqf land development
Published 2017“…The startegic and tactical planning in WSA development also being influenced by the SMM application.Output: The SMM had created a competitive advantage for all members and successfuly improved the optimzation of the WSA land potential.…”
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Prediction of breast cancer diagnosis using machine learning in Malaysian women
Published 2024“…The three frequently used ML algorithms were deep learning, support vector machine (SVM), and cluster analysis. …”
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