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  1. 1
    A technical framework analysis of digital twin control algorithms for HVAC-BMS Integration and implementation challenges for Malaysian green buildings

    A technical framework analysis of digital twin control algorithms for HVAC-BMS Integration and implementation challenges for Malaysian green buildings by Norazam, Nur Muhamad Afif, Mohd Noh, Hamidun, Ishak, Mohd Hafizal, Zulkefli, Nursyazwani, Jumali, Muhammad Arif, Brown, Jeffery Jep

    Published 2025
    “…Using PRISMA methodology, 36 articles published between 2020 - 2024 were systematically reviewed, analysing implementation frameworks, energy optimization strategies, and security considerations. …”
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  2. 2
    Financial time series predicting using machine learning algorithms

    Financial time series predicting using machine learning algorithms by Tiong, Leslie Ching Ow *

    Published 2013
    “…Thereafter, Artificial Neural Network (ANN) and Support Vector Machine (SVM) algorithms are implemented separately to train with the trend patterns for predicting the movement direction of financial trends. …”
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  3. 3
    A robust, scalable multi-robot control and coordination framework achieving high throughput for parcel sorting centers

    A robust, scalable multi-robot control and coordination framework achieving high throughput for parcel sorting centers by Ch'ng, Chee Henn

    Published 2025
    “…Due to its assumption of a non perfect environment, unlike traditional algorithms, the framework is easier to implement. By balancing reactive and deliberative strategies, this framework bridges the gap between theoretical models and practical applications in robotics and automation. …”
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  4. 4
    A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks

    A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks by , Abdul Wahid, Khan, Adnan Umar, , Mukhtarullah, Khan, Sheroz, Shah, Jawad

    Published 2019
    “…However open problems like effect of pooling operations, batch normalization and dictionary learning in context of ML-CSC framework remain challenging issues especially in implementation scenarios. …”
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  5. 5
    Big data clustering using grid computing and ant-based algorithm

    Big data clustering using grid computing and ant-based algorithm by Ku-Mahamud, Ku Ruhana

    Published 2013
    “…This paper presents a framework for big data clustering which utilizes grid technology and ant-based algorithm.…”
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  6. 6
    Multi-agent reinforcement learning for Bai ethnic traditional dwelling protection in Dali : cultural identity-oriented community relationship optimization and urbanization adaptation algorithm.

    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

    Published 2025
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  7. 7
    Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine

    Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine by Raad Ali, Rabei

    Published 2019
    “…The RX_myKarve is a framework that contains both structure-based carving and content-based carving approaches. …”
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  8. 8
    Optimizing UAV performance in turbulent environments using cascaded model predictive control algorithm and Pixhawk hardware

    Optimizing UAV performance in turbulent environments using cascaded model predictive control algorithm and Pixhawk hardware by Mustapha Amine, Sadi, Annisa, Jamali, Abang Mohammad Nizam, Abang Kamaruddin

    Published 2025
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  9. 9
    Compressed Sensing Implementations For Sparse Channel Estimation In OFDM Systems

    Compressed Sensing Implementations For Sparse Channel Estimation In OFDM Systems by Uwaechia, Anthony Ngozichukwuka

    Published 2018
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  10. 10
    Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.]

    Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.] by Abd Rahman, Abdullah Sani, Meutia, Rita, Hamid, Yusnaliza, Abdul Rahman, Rahayu

    Published 2022
    “…In supporting the intervention approaches, machine learning techniques have been widely utilized. Another challenge is the difficulty to implement machine learning analysis by the educators. …”
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  11. 11
    Accelerating DNA sequence alignment based on smith waterman algorithm using recursive variable expansion / Muhamad Faiz Ismail

    Accelerating DNA sequence alignment based on smith waterman algorithm using recursive variable expansion / Muhamad Faiz Ismail by Ismail, Muhamad Faiz

    Published 2014
    “…Finally, we validate the proposed DP framework using the Smith-Waterman (SW) algorithm, which is a widely used, computation and data intensive application in bioinformatics. …”
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  12. 12
    Parallel Implementation Of Field Visualizations With High Order Tetrahedral Finite Elements

    Parallel Implementation Of Field Visualizations With High Order Tetrahedral Finite Elements by Ishak, Mohammad Hafifi Hafiz

    Published 2013
    “…This work proposes and implements an efficient framework for data visualization with tetrahedron finite elements having hierarchical basis functions. …”
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  13. 13
    Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid

    Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid by Ariya Sinhalage Buddhika Eshan Karunarathne

    Published 2023
    “…Initially, the Particle Swarm Optimization was implemented to establish the optimal sizes of DGs and the performance of the implemented algorithm was analyzed and quantified. …”
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  14. 14
    Smart grid: Bio-inspired algorithms energy distributions for data centers

    Smart grid: Bio-inspired algorithms energy distributions for data centers by Woo, Yu Hang

    Published 2025
    “…The system is implemented and simulated using the CloudSim Plus framework under both homogeneous and heterogeneous data centre environments. …”
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  15. 15
    Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems

    Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems by Najmeh Sadat Jaddi, Salwani Abdullah, Say leng goh, Mohd Zakree Ahmad Nazri, Zalinda Othman, Mohammad Kamrul Hasan, Fatemeh Alvankarian

    Published 2025
    “…This study introduces two novel migration policies in multi-population version of kidney-inspired algorithm (KA) to address this dilemma. The initial algorithm, coded as MultiPop-KA, implements a predetermined migration policy. …”
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  16. 16
    Development of task distribution algorithm for multi-robot coordination system

    Development of task distribution algorithm for multi-robot coordination system by Sin, Han Bin

    Published 2022
    “…Delivery is the most common task implemented by a MultiRobot system in a manufacturing industry. …”
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  17. 17
    Design and Implementation of a Genetic Algorithm-Based Block Cipher For Enhanced Cryptographic Security

    Design and Implementation of a Genetic Algorithm-Based Block Cipher For Enhanced Cryptographic Security by Nur Hafiza Zakaria, Farida Hazwani Mohd Ridzuan, Azni Hazlizan Ab Halim

    Published 2025
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  18. 18
    Context enrichment framework for sentiment analysis in handling word ambiguity resolution

    Context enrichment framework for sentiment analysis in handling word ambiguity resolution by Yusof, Nor Nadiah

    Published 2024
    “…However, ambiguous words pose a challenge for sentiment analysis algorithms as they require the identification of the correct meaning and word polarity within a specific context. …”
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  19. 19
    Multi-sensor fusion based on multiple classifier systems for human activity identification

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…With the above methods, this paper provides unified framework to resolve major challenges in human activity identification. …”
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  20. 20
    Implementing server-side federated learning in an edge-cloud framework for precision aquaculture

    Implementing server-side federated learning in an edge-cloud framework for precision aquaculture by Ng, Bryan Jing Hong

    Published 2025
    “…However, small-scale farmers still face major challenges such as high implementation costs, poor internet connectivity, and concerns about data privacy. …”
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