Search Results - (( developing theme system algorithm ) OR ( java application customization algorithm ))
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Evaluating the usability of a Quranic theme extraction and visualization system using task-based usability testing
Published 2025“…Usability testing is crucial for evaluating the effectiveness and user experience of information retrieval systems. 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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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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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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Research Reports -
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Secured electrocardiograph (ECG) signal using fully homomorphic encryption technique
Published 2020“…The proposed encryption scheme FHE is performed on the encrypted ECG data where FHE can be applied in any system by using a various public key algorithm. The secured ECG transmission system will work on the fourth industrial revolution with four major themes: speed of care, ability to manage illness, the role of patient and the relationship between healthcare and service provider. …”
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In silico prediction and validation of Gfap as miR-3099 target in the mouse brain
Published 2017“…MicroRNAs are small non-coding RNAs that play crucial roles in the regulation of gene expression and protein synthesis during brain development. MiR-3099 is highly expressed throughout embryogenesis, especially in the developing central nervous system. …”
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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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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Embodied conversational agents for H5N1 pandemic crisis
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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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Identification of Quran recitation segment from speech video recording / Liliana Nulkasim @ Mohd Kassim
Published 2017“…Therefore, a more efficient method for video segment identification within long speech video recording that will consuming time is urgently needed. This project develops a system to identify Quran recitation segment from speech video recording. …”
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Controlling the non-parametric modeling of Double Link Flexible Robotic Manipulator using Hybrid PID tuned by PType ILA
Published 2018“…P-Type iterative learning algorithm (ILA) control theme was enforced to adapt the controller parameters to fulfill the required performances once there is changes to the system. …”
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The design for antrophomorphic sociable agent interaction through emotion detection
Published 2003“…This research works addresses on faces features through simulation of anthropomorphic agent.A salience feature of this definition of emotion is described in terms of goals and roles.Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion.The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified.One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately.An anthropomorphic agent will serve to express the reaction through affective feedback given. …”
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Discrepancy and thematic bibliometric analyses of the remaining limitations in artificial intelligence
Published 2024“…This study has identified underdeveloped and emerging research themes with potential for future development, such as emotion recognition, human-computer interaction, digital health, and situational awareness, which may require further research. …”
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Proceeding Paper -
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The effect of human learning and forgetting on fuzzy EOQ model with backorders / Nima Kazemi
Published 2017“…In order to optimize the models and derive solutions, an optimization algorithm was developed for the first model and applied later throughout the study. …”
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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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