Search Results - (( model validation from algorithm ) OR ( based segmentation based algorithm ))*

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  1. 1

    Object based segmentation and analysis using deep learning algorithm for cats and dogs images by N.Rajandhiran, Shreevishal

    Published 2023
    “…The evaluation measurement to determine the performance of both implemented Unet architecture and Segnet architecture is the validation loss and the accuracy. The Unet model built from scratch has observed an accuracy of 89.22% , while the pretrained Unet model has observed an accuracy of 89.68% and the Segnet model built from scratch observed an accuracy of 84.87% in delineating the cats and dogs as ROIs in the natural images dataset.…”
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    Final Year Project / Dissertation / Thesis
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    A feature-based approach for segmenting faces by Zaqout, I., Zainuddin, R., Baba, S.

    Published 2004
    “…In this paper, we propose a feature-based algorithm for segmenting faces that is sufficiently generic and is also easily extensible to cope with more demanding variations of the imaging conditions. …”
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    Article
  4. 4

    Automatic control of flotation process using computer vision by Saravani, Ali Jahed

    Published 2015
    “…The performance of improved marker based watershed algorithm was validated by using several industrial and laboratory froth images. …”
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    Thesis
  5. 5

    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

    Published 2021
    “…Secondly, the ML models offer better and consistent risk prediction models as compared to LRA-based model. …”
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    Thesis
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    Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah by Abdullah, Suzanah

    Published 2021
    “…In this study, data acquisition was carried out using UAV images involving simulation and real site studies under oil palm area based on the different flying heights. The experiments were performed in both simulation and real site studies based on four algorithms namely inverse watershed segmentation (IWS), object-based image analysis (OBIA), watershed segmentation (WS) and seed generation (SG). …”
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    Thesis
  7. 7

    Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution by Salih Al-Badri, Qussay Abbas

    Published 2006
    “…Currently testing the validation of the proposed segmentation in a validation study that compares resulting MS lesion as well as gray and white matter tissue structures with Neural Network expert segmentation system. …”
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    Thesis
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    Foreground segmentation-based human detection with shadow removal by Hafiz, Fadhlan, Shafie, Amir Akramin, Khalifa, Othman Omran, Ali, Md. Hazrat

    Published 2010
    “…The proposed detection technique will first try to extract all foreground objects from the background and then moving shadows will be eliminated by a shadow detection algorithm. …”
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    Proceeding Paper
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    Detection of corneal arcus using rubber sheet and machine learning methods by Ramlee, Ridza Azri

    Published 2019
    “…The classification algorithms such as the Lavenberg-Marquardt (LM), Bayesian regularization (BR), scaled conjugate gradient (SCG) and one model of bag-of-features (BoF) are used in this research. …”
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    Thesis
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    Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter by Taghvaee, Mohammad Hossein

    Published 2013
    “…Simulation results are presented to validate performance of the algorithm under different irradiation schemes, and to compare with the results obtained from conventional algorithm. …”
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    Thesis
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    Quaternion-based dynamic algorithm for random generation of solid 4D cylindrical curves in RVE modeling by Hamat, Sanusi, Ishak, Mohamad Ridzwan, Kelly, Piaras, Salit, Mohd Sapuan, Yidris, Noorfaizal, Ali, Syamir Alihan Showkat, Hussin, Mohd Sabri, Mohd Dawi, Mohd Syedi Imran

    Published 2025
    “…A quaternion‐based dynamic algorithm is developed to populate Representative Volume Elements (RVEs) with solid 4D cylindrical fibers, combining spatial centerline coordinates (x,y,z) and quaternion‐encoded orientation. …”
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    Article
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    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

    Published 2018
    “…The results are used to develop the hybrid learning algorithm based on the AdaBoost, Bagging, and RUSBoost methods to predict the damage in the tower based on dynamic frequency domain. …”
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    Thesis
  13. 13

    Segmenting the right ventricle cavity from 4D echocardiography images for stroke volume measurement by Abboud, Anas A.

    Published 2014
    “…Comparisons of the segmentation, End-Diastolic and End-Systolic stages, stroke volume and the reconstructed 3D model; are provided with currently available software for left ventricle volume, function assessment and 3D modelling to validate the merit of the proposed work. …”
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    Thesis
  14. 14

    Sustainable renewable energy resources utilization in rural areas by Woldeyohannes, A.D., Woldemichael, D.E., Baheta, A.T.

    Published 2016
    “…The annual optimized total cost of energy supply for this scenario is determined to be 187,961.68. Results obtained from the transportation model have been validated based on other RE studies in the area. …”
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    Article
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    Sustainable renewable energy resources utilization in rural areas by Woldeyohannes, A.D., Woldemichael, D.E., Baheta, A.T.

    Published 2016
    “…The annual optimized total cost of energy supply for this scenario is determined to be 187,961.68. Results obtained from the transportation model have been validated based on other RE studies in the area. …”
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    Article
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    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
    “…Second, is to develop the deep learning algorithm based on YOLOv3. Third step is to training and evaluate the model using loss function. …”
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    Proceedings
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    Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

    Published 2018
    “…The performance of the outcome was validated based on the receiver operating characteristic (ROC) area under the curve (AUC) values, confusion matrix and Cross Validation method. …”
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    Thesis
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