Search Results - (( developing theme based algorithm ) OR ( java _ normalization algorithm ))
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1
Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing
Published 2016“…The designed modules is in the form of algorithms, GridSim, Java Development Kits and Java Language used to support the design process whereas the Netbeans software serves as the platform to simulate the experiment so as to obtain the results. …”
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2
SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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3
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…On the Construction phase, the development of the prototype has been started. All the algorithm for the engine has been developed by using Java script language. …”
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4
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Evaluating the usability of a Quranic theme extraction and visualization system using task-based usability testing
Published 2025“…This study presents a task-based usability evaluation of a Quranic Theme Extraction and Visualization System, which integrates Natural Language Processing (NLP) techniques which are RAKE algorithm for keyword extraction and DistilBERT for theme classification. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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7
Form four chemistry teachers’ conceptualization of pedagogical content knowledge / Chien Lee Shing
Published 2016“…Coding was done on the data to form sub themes which were later collapsed into themes. The coding of the data was guided by the research questions and new themes were allowed to emerge from the data. …”
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8
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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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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A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…In addition, the proposed M2FS method is developed through WEKA API with Java Programming language using the IDE of Eclipse Java. …”
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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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A qualitative study of families of Edwards Curves and their applications in cryptography / Nurul Azwa Kamaruddin and Nurul Ain Mustakim
Published 2012“…Among those cryptosystems, there are three types of public key cryptographic systems that are currently considered both secure and efficient, classified according to the mathematical problems upon which they are based: the Integer Factorization Systems (of which the RSA algorithm is the most well known example), the Discrete logarithm Systems (such as the US Government’s Digital Signature Algorithm) and the Elliptic Curve Cryptosystem (ECC). …”
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In silico prediction and validation of Gfap as miR-3099 target in the mouse brain
Published 2017“…Those predicted by at least three algorithms (324 genes) were subjected to DAVID bioinformatics analysis to understand their overall functional themes and representation. …”
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Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences
Published 2019“…Based on their pre-test and post-test results, nine of them were selected for individual interview. …”
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15
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“…Therefore, this research aims to develop hybrid fuzzy document clustering techniques to improve attribute cluster membership values of PCSR activities. …”
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17
Challenges of hidden data in the unused area two within executable files
Published 2009“…Results: The programs were coded in Java computer language and implemented on Pentium PC. …”
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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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Embodied conversational agents for H5N1 pandemic crisis
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Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era
Published 2025“…The results identified three predominant themes: (1) unbalanced ethical frameworks and low transparency in AI-driven hiring and performance appraisal; (2) faculty and staff apprehension due to algorithmic biases, data privacy issues, and a lack of institutional oversight; and (3) an urgent need to develop emotional intelligence, interdisciplinary thinking, and digital sensitivity among employees. …”
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