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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

“…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm by Ahmed Ali Mohammed, Al-saffar

“…The definition includes processing of an image in which handwritten letters or numbers exist with the term handwriting recognition. The practical applications of handwriting recognition in many of the current real-world applications rely on the processing of sequential texts, where the language must be detected with efficiency, suggesting the development of a flexible handwriting recognition model. …”
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3D imaging techniques in documentation of cultural assets in Malaysia by Md. Sharif, Harlina, Hazumi, Hazman, Saedin, Nurfarhanah

“…This paper presents an initial stage in an exploratory study that investigates the potentials of using CV automated image-based open- source software and web services to reconstruct and replicate cultural assets. By selecting an intricate wooden boat, Petalaindera, this study attempts to evaluate the efficiency of CV systems and their suitability to be adopted in digital heritage practice in Malaysia. …”
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Multi-agent reinforcement learning for Bai ethnic traditional dwelling protection in Dali : cultural identity-oriented community relationship optimization and urbanization adaptati... by Xiaohua, Qian, Neilson Ilan, Mersat, Haslina, Hashim, Bemen Wong, Win Keong

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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

“…The three main objectives are: (i) to develop a malware RGB image-based dataset and classifier using a parallel CNN (PCNN), (ii) to develop an enhanced parallel deep learning (EPDL) model for malware detection (MD) and build a response system (RS) by applying PCNN, and (iii) to evaluate the developed model with previous studies based on the accuracy rate. …”

Evaluation of SongketChain : A Framework to Protect Unique Cultural Product using Blockchain Technology by Muhammad Hassif Imran, Muhammad Harris Irwan, Johari, Abdullah, Adnan Shahid, Khan, Nayeem Ahmad, Khan

“…This study evaluates the effectiveness of SongketChain through a comparative analysis of blockchain platforms and consensus algorithms, highlighting the framework's potential to mitigate counterfeit issues and support the sustainable development of the Songket market. …”
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3D documenatation of the petalaindera: Digital heritage preservation methods using 3D laser scanner and photogrammetry by Md Sharif, Harlina, Hazumi, Hazman, Meli, Rafiq Hafizuddin

“…The final objective is to explore cost-effective methods that could provide fundamental guidelines on the best practice approach for digital heritage in Malaysia.…”
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Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended techno... by Rosli, Mohd Shafie, Awalludin, Muhammad Fairuz Nizam, Tau Han, Cheong T, Saleh, Nor Shela, Md Noor, Harrinni

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3D documentation of the Petalaindera: digital heritage preservation methods using 3D laser scanner and photogrammetry by Md. Sharif, Harlina, Hazumi, Hazman, Meli, Rafiq Hafizuddin

“…The final objective is to explore cost-effective methods that could provide fundamental guidelines on the best practice approach for digital heritage in Malaysia.…”
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3D documenatation of the petalaindera: Digital heritage preservation methods using 3D laser scanner and photogrammetry by Md. Sharif, Harlina, Hazumi, Hazman, Meli, Rafiq Hafizuddin

“…The final objective is to explore cost-effective methods that could provide fundamental guidelines on the best practice approach for digital heritage in Malaysia.…”
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Parameters of Artificial Intelligence (AI) in Fatwa Issuance: A Jurisprudential and Technological Ethics Analysis by Ahmad Fikri Che Yusoff, Mohd Harifadilah Rosidi