Search Results - (( processes estimation methods algorithm ) OR ( processes innovation method algorithm ))

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  1. 1
    Automated & innovative surface crack detection & length estimation technique for infrastructure inspection work / Syahrul Fithry Senin ... [et al.]

    Automated & innovative surface crack detection & length estimation technique for infrastructure inspection work / Syahrul Fithry Senin ... [et al.] by Senin, Syahrul Fithry, Ahmad, Juhaizad, Rosli, Mohd Ikmal Fazlan, Yusuff, Amer, Rohim, Rohamezan, Abdul Ghani, Kay Dora, Mohamed Noor, Suhailah

    Published 2019
    “…The thresholding algorithm was developed for the purpose of image processing using the MATLAB software. …”
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  2. 2
    Effective source number enumeration approach under small snapshot numbers

    Effective source number enumeration approach under small snapshot numbers by Ge, Shengguo

    Published 2024
    “…Experimental results show that the SEMD-based method performs significantly better than the traditional signal source number estimation algorithm in these complex environments, especially under a small number of snapshots, the SEMD method can still maintain a high estimation accuracy. …”
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  3. 3
    An innovative approach for estimating the number of tags in RFID traffic monitoring systems

    An innovative approach for estimating the number of tags in RFID traffic monitoring systems by Chebil, Jalel, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

    Published 2024
    “…This paper presents a new approach to estimate the number of tags within the reader's range in an RFID traffic monitoring system, with the goal of improving the dynamic framed slotted ALOHA anti-collision algorithm. …”
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  4. 4
    Feedforward neural network for solving particular fractional differential equations

    Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

    Published 2024
    “…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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  5. 5
    Detecting and evaluating surface crack defect of building structure and infrastructure elements using Digital Image Processing approach / Nursyafiqah Razmi

    Detecting and evaluating surface crack defect of building structure and infrastructure elements using Digital Image Processing approach / Nursyafiqah Razmi by Razmi, Nursyafiqah

    Published 2018
    “…Therefore, an innovative technique that manipulating the Digital Image Processing technology was developed to detect and estimate the surface crack length on civil engineering structures by using images that is not depending on inspector's background on crack assessment. …”
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  6. 6
    Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques

    Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques by Chong, Xiao Wei

    Published 2024
    “…Additionally, traditional methods of monitoring prawn growth and well-being in underwater environments are labor-intensive and prone to inconsistencies, hindering timely decision-making processes. …”
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  7. 7
    Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines

    Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines by Nagi J., Yap K.S., Tiong S.K., Ahmed S.K., Nagi F.

    Published 2023
    “…The proposed hybrid DTMF detector scheme is based on power spectrum analysis by means of the Discrete Fourier Transform (DFT). The Goertzel's Algorithm is used to estimate the seven fundamental DTMF carrier frequencies. …”
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  8. 8
    Inventory tracker with estimation

    Inventory tracker with estimation by Beh, Wei Jun

    Published 2024
    “…By replacing traditional pen and paper methods, the app digitizes the inventory management process, increasing accuracy and efficiency. …”
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  9. 9
    Case Study: University Lecture Timetabling Without Pre-registration Data

    Case Study: University Lecture Timetabling Without Pre-registration Data by Sze, San Nah, Bong, Chia Lih, Chiew, Kangleng, Tiong, Wei King, Noor Alamshah, Bolhassan

    Published 2017
    “…Data pre-processing algorithm was carried out to predict course registration. …”
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  10. 10
    Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia

    Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia by Ali, Y., Padmanabhan, E., Andriamihaja, S., Faisal, A.

    Published 2019
    “…The predicted image was compared to the original one to estimate the prediction accuracy. The method proved to give good results in terms of the predicted images accuracy. …”
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  11. 11
    Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia

    Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia by Ali, Y., Padmanabhan, E., Andriamihaja, S., Faisal, A.

    Published 2019
    “…The predicted image was compared to the original one to estimate the prediction accuracy. The method proved to give good results in terms of the predicted images accuracy. …”
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  12. 12
    Model-based hybrid variational level set method applied to object detection in grey scale images

    Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

    Published 2024
    “…In industrial inspection, segmentation algorithms detect product defects, cracks, or anomalies for quality control and safety. …”
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  13. 13
    Optimization of waterjet paint removal operation using artificial neural network

    Optimization of waterjet paint removal operation using artificial neural network by Alzaghir, Abdullah Faisal, Mat Nawi, Mohd Nazir, Gebremariam, M. A., Azhari, Azmir

    Published 2022
    “…This summarizes that ANN model can sufficiently estimate surface roughness in waterjet paint removal process with a reasonable error range.…”
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  14. 14
    Optimization of waterjet paint removal operation using artificial neural network

    Optimization of waterjet paint removal operation using artificial neural network by Alzaghir, Abdullah Faisal, Mohd Nazir, Mat Nawi, Asmelash, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…This summarizes that ANN model can sufficiently estimate surface roughness in waterjet paint removal process with a reasonable error range.…”
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  15. 15
    Optimization of waterjet paint removal operation using artificial neural network

    Optimization of waterjet paint removal operation using artificial neural network by Alzaghir, Abdullah Faisal, Mohd Nazir, Mat Nawi, Gebremariam, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…This summarizes that ANN model can sufficiently estimate surface roughness in waterjet paint removal process with a reasonable error range.…”
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  16. 16
    Prediction of abrasive waterjet machining of sheet metals using artificial neural network

    Prediction of abrasive waterjet machining of sheet metals using artificial neural network by Nur Khadijah, Mazlan, Nazrin, Mokhtar, Asmelash, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…Artificial neural network model was used as the method for prediction. Taguchi method with L36 orthogonal array was employed to develop the experimental design. …”
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  17. 17
    Prediction of abrasive waterjet machining of sheet metals using artificial neural network

    Prediction of abrasive waterjet machining of sheet metals using artificial neural network by Nur Khadijah, Mazlan, Nazrin, Mokhtar, Gebremariam, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…Artificial neural network model was used as the method for prediction. Taguchi method with L36 orthogonal array was employed to develop the experimental design. …”
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  18. 18
    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique

    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique by Hamid, Nurul 'Atiqah

    Published 2016
    “…These 6 algorithms are divided into 3 main methods namely Method A, Method B, and Method C depending on their search patterns and strategies. …”
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  19. 19
    Estimation in spot welding parameters using genetic algorithm

    Estimation in spot welding parameters using genetic algorithm by Lukman, Hafizi

    Published 2007
    “…The application has widespread in many areas especially in system and control engineering. Genetic algorithm (GA) used as parameter estimation method for a model structure. …”
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  20. 20
    Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm

    Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm by Rashid, Roslina, Jamaluddin, Hishamuddin, Saidina Amin, Nor Aishah

    Published 2005
    “…The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with Gauss-Newton method. …”
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