Search Results - (( process acquisition selection algorithm ) OR ( java application customization algorithm ))

Best pulse selection of photoplethysmography signal through comparative method by Nurhafizah, Mahri, Gan, Kok Beng, Dr., Mohd. Alauddin, Mohd. Ali, Prof. Dr.

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Solving computational algorithm using CLONALNet technique based on artificial clonal selection by Samy J.A.L.A., Krishnan P.S.A.L., Kiong T.S.

Implementation of generalized predictive control (GPC) for a real-time process control using labview by Mohd. Faudzi, Ahmad 'Athif

“…Real-time control is an approach to evaluate process system with real-time parameters by controlling selected variables to accomplish the control objectives. …”
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3D OBJECT ACQUISITION SYSTEM by RAMLEE, MUHAMMAD RAHISHAN

“…This paper present the study on the investigation of the procedures to obtain 3 dimension (3D) acquisition system. The processes start by determining the best pattern to be used in obtaining the best deformation pattern image. …”
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An acquisition and a modulated recognition system for driver profiling in Malaysia / Ward Ahmed Alaulddin Al-Hussein by Ward Ahmed Alaulddin , Al-Hussein

“…The results have shown that CNN outperformed the other two classification algorithms in terms of accuracy, precision, recall, and f-measure and was therefore selected for a recognition system that, in combination with the acquisition system, would assist traffic police and insurance firms in detecting unsafe driving behaviors. …”
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Development of wireless data acquisiton system using LoRa technology for construction of PID control system by Al Sayed Noor Mohamed A Jassem

Identification and Grading of Manage Using Image Processing by Shukor, Syazwan

“…This project has developed an image processing algorithm for a systematic maturity identification of "Mangga Susu Thai Gold" mangos. …”
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Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm by Yahya Alyasseri, Zaid Abdi Alkareem

“…Third, select efficient features that can be extracted from the EEG signal for achieving the highest accuracy rate. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

“…The technology involves several stages relating to image acquisition, pre-processing, segmentation, feature extraction and classification. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Classification models for higher learning scholarship award decisions by Wirawati Dewi Ahmad, Azuraliza Abu Bakar

“…A dataset of successful and unsuccessful applicants was taken and processed as training data and testing data used in the modelling process. …”
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Logic modeling and mathematical model in developing a tree species selection prototype by Kamarudin, Shafinaz, Sahari, Noraidah, Selamat, Mohd Hasan, Abdullah, Rusli, Sulaiman, Riza, Mohammad, Mohd Ikram

“…The algorithms related to the analysis of the systems prototype were also presented in this article. …”
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Integrated reconstruction of 2D overlapping coronary artery from x-ray angiography with 3D virtual myocardial model using non-rigid iterative closest point algorithm by Omar, Mahmood Mohammed Ali

“…These research contributions are applicable in practice and can be conveniently deployed using personal computers and standard medical acquisition techniques without any change in the medical acquisition standards. …”
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Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

“…In the existing work of Sign Language Recognition, most researchers divide the process in four main steps: image acquisition, pre-processing, features extraction and classification. …”
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Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, a... by Reza M.S., Mannan M., Mansor M., Ker P.J., Mahlia T.M.I., Hannan M.A.

“…Additionally, the issues and challenges related to RUL prediction approaches such as; thermal runaway, material selection, cell balancing, battery aging, relaxation impact, training algorithms, data acquisition, and hyperparameter tuning were outlined to provide an in-depth understanding of the recent situations. …”

Spectral texture segmentation of Magnetic Resonance Imaging (MRI) brain images for glioma brain tumour detection / Rosniza Roslan by Roslan, Rosniza

“…A new double thresholding algorithm and a fully automated multiple seed points selection algorithm that works on all three MRI image sequences are also proposed. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein, Hussein A. M, Abdul Rahim, Sharafiz, Mustapha, Faizal B., Krishnan, Prajindra S., Abdul Jalil, Nawal Aswan

“…The data underwent preprocessing, including the application of principal component analysis (PCA) for feature selection. The subsequent data processing stage involved the application of an ANN algorithm for pattern recognition to analyze and classify the acquired data, identifying patterns associated with the replicated fault conditions. …”
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Prediction Of Petroleum Reservoir Properties Using Nonlinear Feature Selection And Ensembles Of Computational Intelligence Techniques by Anifowose, Fatai Adesina

“…In this thesis, new non-linear feature-selection assisted methods and ensemble learning models are proposed. …”
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Novel Feature Extraction and Representation for Currency Classification by Wang, Hui Hui, Wang, Yin Chai, Wee, Bui Lin, Marcus, Chen

“…The currency image will be pre-processed in grayscale and split into 100x100 blocks at selected regions of interest (ROI) on the currency. …”
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Metocean Big Data Processing Using Hadoop by Md Yusof, Nadiatul Akmal

“…While the collection of this information presents opportunities for insight, it also presents many challenges. Most algorithms are not designed to process big data sets in a reasonable amount of time or with a reasonable amount of memory. …”
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