Search Results - (( model evaluation means algorithm ) OR ( time information systems algorithm ))*

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  1. 1
    Real-time Personal Protective Equipment (PPE) compliance detection system using you only look once version 5 / Nur Amielia Natasha Mohamad Nazli

    Real-time Personal Protective Equipment (PPE) compliance detection system using you only look once version 5 / Nur Amielia Natasha Mohamad Nazli by Mohamad Nazli, Nur Amielia Natasha

    Published 2023
    “…The object detection algorithm achieved a mean Average Precision (mAP) of 91.5% in the metric evaluation, while the accuracy testing yielded a 98.3% accuracy rate. …”
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  2. 2
    Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm

    Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm by Khalifa, Othman Omran, Wajdi, Muhammad H., Saeed, Rashid A., Hassan Abdalla Hashim, Aisha, Ahmed, Muhammed Z., Ali, Elmustafa Sayed

    Published 2022
    “…Results from the simulated and evaluated algorithm showed that the proposed model was able to achieve a mAP of 97.8 in the daytime dataset and 95.1 in the nighttime dataset.…”
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  3. 3
    Flock optimization algorithm-based deep learning model for diabetic disease detection improvement

    Flock optimization algorithm-based deep learning model for diabetic disease detection improvement by Balasubramaniyan, Divager, Husin, Nor Azura, Mustapha, Norwati, Mohd Sharef, Nurfadhlina, Mohd Aris, Teh Noranis

    Published 2024
    “…Hence, the research objective is to create an improved diabetic disease detection system using a Flock Optimization Algorithm-Based Deep Learning Model (FOADLM) feature modeling approach that leverages the PIMA Indian dataset to predict and classify diabetic disease cases. …”
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  4. 4
    An analysis of fuzzy clustering algortihms for suggestion of supervisor and examiner of thesis title

    An analysis of fuzzy clustering algortihms for suggestion of supervisor and examiner of thesis title by Suhaimi, Azrina

    Published 2005
    “…The selected algorithms for Fuzzy are Fuzzy C-means and Gustafson Kessel. …”
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  5. 5
    Intent-IQ: customer’s reviews intent recognition using random forest algorithm

    Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

    Published 2025
    “…The future recommendation for this project is to build a classification model for Malay reviews and explore other algorithms which could gain better accuracy by capturing more contextual meanings in the reviews such as BERT.…”
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  6. 6
    Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions

    Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions by Shamshad, H., Ullah, F., Ullah, A., Kebande, V.R., Ullah, S., Al-Dhaqm, A.

    Published 2023
    “…This involves selecting an appropriate kernel and suitable data normalization technique for SVR, determining ARIMA's (p, d, q) values, and optimizing the loss function values, number of neurons, hidden layers, and epochs in LSTM models. For the model validation, we utilize widely used evaluation techniques: Mean Absolute Error, Root Mean Squared Error, Mean Absolute Percentage Error, and R-squared. …”
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  7. 7
    Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network

    Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network by Md Akib, Afif, Saad, Nordin, Asirvadam, Vijanth

    Published 2011
    “…Relative mass released of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithms for updating the linear weight. …”
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  8. 8
    Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models

    Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models by Mohd Aris, M.N., Daud, H., Mohd Noh, K.A., Dass, S.C.

    Published 2022
    “…For the validation, the mean absolute deviation (MAD), mean squared error (MSE) and root mean squared error (RMSE) between the 2D GP model and the CST outputs (i.e., true values) at the unobserved resistivities are calculated. …”
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  9. 9
    Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa

    Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa by Esa, Abdul Halim

    Published 2016
    “…The overall research objective is to develop a computer algorithm for real-time sensorization for optical sensor characterization. …”
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  10. 10
    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…After optimizing the proposed fuzzy model by means ofgenetic algorithm, the resulted planner produces shorter paths in shorter runtimes with limited variations in results of different runs of the planner. …”
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  11. 11
    Modification to queueing system M/M/1 with Blum-Blum-Shub generator

    Modification to queueing system M/M/1 with Blum-Blum-Shub generator by Jaffara, M. Z. A. M., Joey, L. F. L.

    Published 2022
    “…In this paper, the researchers modified a type of queueing model simulation which is called ‘M/M/1’ by using a part of Blum-Blum-Shub algorithm. …”
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  12. 12
    Modeling and prediction of driver-vehicle-unit velocity using adaptive neuro-fuzzy inference system in real traffic flow / Iman Tahbaz-zadeh Moghaddam...[et al.]

    Modeling and prediction of driver-vehicle-unit velocity using adaptive neuro-fuzzy inference system in real traffic flow / Iman Tahbaz-zadeh Moghaddam...[et al.] by Moghaddam, Iman Tahbaz-zadeh, Ayati, Moosa, Taghavipour, Amir, Marzbanrad, Javad

    Published 2019
    “…To evaluate the performance of proposed method, standard time series forecasting approach called autoregressive (AR) model is considered as a rival method. …”
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  13. 13
    Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.

    Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models. by Kwad, Ayad Mahmood

    Published 2022
    “…The realistic dynamics mathematical model of a system is very important for analyzing a system. …”
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  14. 14
    Reducing false alarm using hybrid Intrusion Detection based on X-Means clustering and Random Forest classification

    Reducing false alarm using hybrid Intrusion Detection based on X-Means clustering and Random Forest classification by Juma, Sundus, Muda, Zaiton, Yassin, Warusia

    Published 2014
    “…The ISCX 2012 Intrusion Detection Evaluation is used as a model dataset. The experimental result pose that the proposed approach obtains better than other techniques, with the accuracy, detection and false alarm rates of 99.96%, 99.99%, and 0.2%, respectively.…”
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  15. 15
    Flood forecasting for Melaka using arima and nar modelling methods

    Flood forecasting for Melaka using arima and nar modelling methods by Wong, Wei Ming

    Published 2022
    “…There was a total of 2782 data in this time-series. The Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC) were used to find the best ARIMA model. …”
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  16. 16
    Improving K-Means Clustering using discretization technique in Network Intrusion Detection System

    Improving K-Means Clustering using discretization technique in Network Intrusion Detection System by Tahir, H.M., Said, A.M., Osman, N.H., Zakaria, N.H., Sabri, P.N.M., Katuk, N.

    Published 2016
    “…An integrated machine learning algorithm using K-Means Clustering with discretization technique and Naïve Bayes Classifier (KMC-D+NBC) is proposed against ISCX 2012 Intrusion Detection Evaluation Dataset. …”
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  17. 17
    Computed tomography and echocardiography image fusion technique for cardiac images

    Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

    Published 2016
    “…Also, different performance metrics are implemented to examine the performance of the proposed fusion system. For further studies, the combined navigation system can be designed for real-time surgery guidance. …”
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  18. 18
    Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision)

    Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision) by Sharvinteraan, C. Mogan

    Published 2023
    “…The system leverages the Multi-task Cascaded Convolutional Networks (MTCNN) algorithm, along with a classifier and the OpenCV library, to accurately recognize faces and extract age and gender information. …”
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  19. 19
    Classification and visualization of e-commerce product reviews comparison using support vector machine / Nuwairah Aimi Ahmad Kushairi

    Classification and visualization of e-commerce product reviews comparison using support vector machine / Nuwairah Aimi Ahmad Kushairi by Ahmad Kushairi, Nuwairah Aimi

    Published 2023
    “…From the Mann-Whitney U Test in reliability testing, the obtained p-value, 0.008, is below the significance level, p-value<0.05, hence, rejecting the null hypothesis. It means a significant difference exists between the time taken for manual evaluation and the evaluation using the web-based system. …”
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  20. 20
    Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method

    Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method by Chan, Chung Hoong, M. A., Ameedeen

    Published 2016
    “…The sophisticated mathematical algorithm applies in data mining to segment data and evaluates the probability of a future event. …”
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