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  1. 1
    On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models

    On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models by Tay, Kai Mei, Chee, Peng Lim

    Published 2009
    “…This can be accomplished with the use of a search algorithm, such as the brute force, genetic algorithm or etc…”
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  2. 2
    A safe overtaking control scheme for autonomous vehicles using rapid-exploration random tree

    A safe overtaking control scheme for autonomous vehicles using rapid-exploration random tree by Yincong Ma, Kit Guan Lim, Min Keng Tan, Helen Sin Ee Chuo, Lorita Angeline, Kenneth Tze Kin Teo

    Published 2022
    “…The improved algorithm is used to obtain the rough obstacle avoidance of the vehicle. …”
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    Proceedings
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  3. 3
    Image Fusion for Travel Time Tomography Inversion

    Image Fusion for Travel Time Tomography Inversion by Liu, L., Zhao, X., Yin, X., Ashraf, M.A.

    Published 2015
    “…Firstly, the shortest path method and the linear travel time interpolation were used for forward calculation; then combined the improved Wilkinson iteration method with super relaxation precondition method to reduce the condition number of matrix and accelerate iterative speed, the precise integration method was used to solve the inverse matrix more precisely in tomography inversion process; finally, use wavelet transform for image fusion, obtain the final image. …”
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  4. 4
    Automatic mapping of concrete strength in structural element

    Automatic mapping of concrete strength in structural element by Hamid, Roszilah, Mohamed, Ramizi, Mohd. Nayan, Khairul Anuar, Osman, Siti Aminah, Mohd. Yusof, Kamarudin

    Published 2006
    “…Signal-processing techniques were used to compute the data; Fourier Transform to translate a time-series signal into frequency domain, concrete strength calculation, interpolation technique and a Graphic User Interface (GUI) to complete the mapping algorithms.…”
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  5. 5
    ReSTiNet : On improving the performance of Tiny-YOLO-Based CNN architecture for applications in human detection

    ReSTiNet : On improving the performance of Tiny-YOLO-Based CNN architecture for applications in human detection by Sumit, Shahriar Shakir, Awang Rambli, Dayang Rohaya, Mirjalili, Seyedali, Ejaz, Muhammad Mudassir, Miah, Md Saef Ullah

    Published 2022
    “…The proposed model was trained and tested using MS COCO and Pascal VOC datasets. The resulting ReSTiNet model is 10.7 MB in size (almost five times smaller than Tiny-YOLO), but it achieves an mAP of 63.74% on PASCAL VOC and 27.3% on MS COCO datasets using Tesla k80 GPU.…”
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