Search Results - (( quantity detection method algorithm ) OR ( java implementation path algorithm ))

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  1. 1

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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    Thesis
  2. 2

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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    Thesis
  3. 3

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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    Article
  4. 4

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…The second algorithm reduces the quantity of interest regions by using the Extremal Region Selection (ERS) algorithm. …”
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    Thesis
  5. 5

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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    Thesis
  6. 6

    Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

    Published 2022
    “…Then, the segmented cabbage sample will use the GLCM method for feature extraction. It is a method of extracting second-order statistical texture features to detect diseases more efficiently. …”
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    Academic Exercise
  7. 7

    A robust traffic quantity measurement with video surveillance by Rad, A.G., Karim, M.R.

    Published 2011
    “…The method consists of three algorithms. First, background modeling and update, second, a boosting method to enhance the foreground image and reduce the noise and at last determining best match of region of interest (ROI) to extract information to conclude if there is a vehicle in the detection zone or not. …”
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    Article
  8. 8

    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm by Alixson Polumpung, Kit Guan Lim, Min Keng Tan, Sitti Raehanah Muhamad Shaleh, Renee Ka Yin Chin, Kenneth Teo Tze Kin

    Published 2022
    “…In this paper, we present the method and performance to detect rotifer Brachionus plicatilis in 1ml sample automatically using deep learning algorithm YOLOv3. …”
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    Proceedings
  9. 9

    Square groove detection based on Förstner with canny edge operator using laser vision sensor by Mohd Shah, Hairol Nizam, Nik Anwar, Nik Syahrim, Mohammed Naji, Osamah Abdullah Ahmed, Johan, Nurul Fatiha

    Published 2023
    “…The extraction of the square groove’s feature points using a new method is presented in this paper. Noise is produced in signifcant quantities due to the difcult method used to acquire the weld image. …”
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    Article
  10. 10

    Monkeypox disease detection using Convolutional Neural Network (CNN) / Nur Farhain Humaira Ghanami by Ghanami, Nur Farhain Humaira

    Published 2024
    “…The project is to study the CNN algorithm and develop a prototype to evaluate the accuracy of monkeypox disease detection using CNN. …”
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    Thesis
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    Aerial imagery paddy seedlings inspection using deep learning by Anuar, Mohamed Marzhar, Abdul Halin, Alfian, Perumal, Thinagaran, Kalantar, Bahareh

    Published 2022
    “…Experimental results showed that our proposed methods were capable of detecting the defective paddy rice seedlings with the highest precision and an F1-Score of 0.83 and 0.77, respectively, using a one-stage pretrained object detector called EfficientDet-D1 EficientNet.…”
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    Article
  15. 15

    Recognition of multi-type and multi-oriented text in videos / Sangheeta Roy by Sangheeta , Roy

    Published 2018
    “…Furthermore, the proposed methods are compared with existing recent methods to show that proposed methods outperform the existing methods in terms of quality and quantity measures. …”
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    Thesis
  16. 16

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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    Thesis
  17. 17

    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis by Norman, Masayu

    Published 2019
    “…The accuracy of each algorithm was evaluated using LibSVM, Bayes network, and Adaboost classifier. …”
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    Thesis
  18. 18

    Enhanced recognition methods for text and slider CAPTCHA vulnerability assessment by Xing, Wan

    Published 2025
    “…The Fixed Quantity Prediction Non-Maximum Suppression (FQP-NMS) method, along with lightweight backbones and attention mechanisms, is proposed to optimize recognition performance and improve the architecture of YOLOv5, achieving a mean Average Precision (mAP) of 0.994 on the SliderCAPTCHA dataset. …”
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    Thesis
  19. 19

    Analysing method for acoustic emission clustering system on reinforced concrete beam by Saiful Bahari, Nur Amira Afiza

    Published 2018
    “…Acoustic Emission (AE) is a non-destructive testing (NDT) method used for damage detection in structural engineering. …”
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    Thesis
  20. 20

    Enhanced slider CAPTCHA recognition for vulnerability assessment / Wan Xing, Juliana Johari and Fazlina Ahmat Ruslan by Wan, Xing, Johari, Juliana, Ahmat Ruslan, Fazlina

    Published 2025
    “…Furthermore, a novel Offset-based Intersection over Union (OIoU) loss function is proposed, specifically designed to prioritize the accuracy of horizontal displacement, crucial for slider CAPTCHA detection. The study also presents Fixed Quantity Prediction-based Non-Maximum Suppression (FQP-NMS), a modified NMS algorithm ensuring a fixed number of predicted bounding boxes, addressing the variability inherent in standard NMS. …”
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    Article