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  1. 1
    Disaster monitoring in urban and remote areas using satellite stereo images: A depth estimation approach

    Disaster monitoring in urban and remote areas using satellite stereo images: A depth estimation approach by Ahmad, Rana Fayyaz, Malik, Aamir Saeed, Qayyum, Abdul, Kamel, Nidal

    Published 2015
    “…In our paper, we have proposed a method to monitor the disaster using satellite stereo images which can detect and measure the intensity of damage. …”
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  2. 2
    Disaster monitoring in urban and remote areas using satellite stereo images: A depth estimation approach

    Disaster monitoring in urban and remote areas using satellite stereo images: A depth estimation approach by Ahmad, R.F., Malik, A.S., Qayyum, A., Kamel, N.

    Published 2015
    “…In our paper, we have proposed a method to monitor the disaster using satellite stereo images which can detect and measure the intensity of damage. …”
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  3. 3
    ESTIMATED PROBABILITY OF THE NUMBER OF BUILDINGS DAMAGED BY THE FLOODS AND THE COST OF REPAIRS

    ESTIMATED PROBABILITY OF THE NUMBER OF BUILDINGS DAMAGED BY THE FLOODS AND THE COST OF REPAIRS by Mohd Khairul Amri, Kamarudin, Abdul Rahman, Hasan, Fathurrahman, Lananan

    Published 2018
    “…The probability estimation of building damage was carried out using a logistic regression model with a genetic algorithm approach. …”
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  4. 4
    Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm

    Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm by Ehteram M., Othman F.B., Yaseen Z.M., Afan H.A., Allawi M.F., Malek M.B.A., Ahmed A.N., Shahid S., Singh V.P., El-Shafie A.

    Published 2023
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  5. 5
    Gait identification and optimisation for amphi-underwater robot by using ant colony algorithm

    Gait identification and optimisation for amphi-underwater robot by using ant colony algorithm by Mohd Yusof, Muhammad Syafiq, Toha @ Tohara, Siti Fauziah

    Published 2019
    “…Currently, the manoeuvrable robot is controlled manually by the operator and it’s a wheeled type. It is used for rescue missions to transport people from disaster area to the safe zone. …”
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  6. 6
    The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli

    The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli by Ramli, Suzana

    Published 2015
    “…In order to integrate radar data into any quantitative precipitation estimation, the suitable Z-R equations must be used to produce acceptable results. …”
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  7. 7
    State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review

    State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review by How D.N.T., Hannan M.A., Hossain Lipu M.S., Ker P.J.

    Published 2023
    Review
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  8. 8
    Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques

    Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques by Muhadi, Nur 'Atirah

    Published 2022
    “…The findings demonstrated that these methods are handcrafted and the algorithms need to be changed when applying to different images, which is not practical to be used during flood disasters. …”
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  9. 9
    Identifying high influence parameters using Genetic Algorithm (GA) chromosomes for water consumption

    Identifying high influence parameters using Genetic Algorithm (GA) chromosomes for water consumption by Siti Arpah, Ahmad, Nurul Nadia Hani, ., Ahmad Firdaus, Ahmad Fadzil, Nor Elaiza, Abd Khalid, Rosanita, Adnan, Khairul Anwar, Rasmani, Wan Isni Sofiah, Wan Din

    Published 2021
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  10. 10
    Estimation of boiler's tubes life, Artificial Neural Networks approach / Murtadha F. Muhsen

    Estimation of boiler's tubes life, Artificial Neural Networks approach / Murtadha F. Muhsen by F. Muhsen, Murtadha

    Published 2011
    “…Training data used were obtained from Kapar power station technical reports. …”
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  11. 11
    Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region

    Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region by Bhattacharya S., Ali T., Chakravortti S., Pal T., Majee B.K., Mondal A., Pande C.B., Bilal M., Rahman M.T., Chakrabortty R.

    Published 2025
    “…This study employs various machine learning and deep learning algorithms, specifically Random Forest (RF), Artificial Neural Network (ANN), and Deep Learning Neural Network (DLNN), to estimate landslide susceptibility in Chamoli district, Uttarakhand, India?…”
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  12. 12
    Deep learning semantic segmentation for water level estimation using surveillance camera

    Deep learning semantic segmentation for water level estimation using surveillance camera by Muhadi, Nur 'Atirah, Abdullah, Ahmad Fikri, Bejo, Siti Khairunniza, Mahadi @ Othman, Muhammad Razif, Mijic, Ana

    Published 2021
    “…This work presented two well-established deep learning algorithms, DeepLabv3+ and SegNet networks, and evaluated their performances using several evaluation metrics. …”
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  13. 13
    Enhancing obfuscation technique for protecting source code against software reverse engineering

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    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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  14. 14
    Image Stitching Of Aerial Footage

    Image Stitching Of Aerial Footage by Ng, Wei Haen

    Published 2021
    “…With the advent of modern drones or unmanned aerial vehicles (UAVs), it is used in the application of infrastructure, agriculture monitoring, disaster assessment, etc. …”
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  15. 15
    Earthquake location detector system (ELDS)

    Earthquake location detector system (ELDS) by Surwindraj Ang Soon Lee

    Published 2024
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  16. 16
    Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review

    Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review by Norhasmira, Mohammad, Rohana, Ahmad, Arofi, Kurniawan, Mohd Yusmiaidil, Putera Mohd Yusof

    Published 2022
    “…Sometimes it may require forensic experts to refer to the existing technique to identify individuals, for example, by using the atlas to estimate the dental age. However, the existing technology can be a complicated procedure for a large-scale incident requiring a more significant number of forensic identifications, particularly during mass disasters. …”
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  17. 17
    Comparative evaluation of various GPS-free localization algorithm for wireless sensor networks

    Comparative evaluation of various GPS-free localization algorithm for wireless sensor networks by Musbahi, Amal Mustafa

    Published 2015
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  18. 18
    Region-based segmentation and classification of Mandibular First Molar Tooth based on Demirjian’s method

    Region-based segmentation and classification of Mandibular First Molar Tooth based on Demirjian’s method by Norhasmira, Mohammad, M Y P M, Yusof, Rohana, Ahmad, Anuar Mikdad, Muad

    Published 2020
    “…Dental age estimation is applied in various clinical and scientific disciplines such as pediatric dentistry, orthodontics, archaeology, palaeontology and forensic dentistry. …”
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  19. 19
    Three-dimensional craniometrics identification model and cephalic index classification of Malaysian sub-adults: A multi-slice computed tomography study / Sharifah Nabilah Syed Mohd Hamdan

    Three-dimensional craniometrics identification model and cephalic index classification of Malaysian sub-adults: A multi-slice computed tomography study / Sharifah Nabilah Syed Mohd... by Sharifah Nabilah , Syed Mohd Hamdan

    Published 2024
    “…All the age groups, except for 0–2 years and 3–6 years, exhibited reliable sex estimation with a high accuracy percentage (≥75%) when tested using DFA and BLR. …”
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  20. 20
    Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad

    Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

    Published 2022
    “…Also, a more sophisticated method can be achieved by performing the dental age estimation using 3-Dimensional (3D) imaging.…”
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