Search Results - (( interval extraction method algorithm ) OR ( variable extraction path algorithm ))

Modal extraction accuracy using Single Station Time Domain (SSTD) techniques / A. F. Ghazali and A. A. Mat Isa by Ghazali, A. F., Mat Isa, A. A.

“…In this paper, a study on time shift interval on SSTD algorithm method is investigated. …”
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Improving the efficiency of thermoelectric generator using perturb and observe MPPT algorithm by Nurul Izzah Izzati Zaihan, Tengku Norliza Tengku Mohamad, Fakroul Ridzuan Hashim

“…This paper proposes a design that integrates TEG arrays, boost converters, and the P&O algorithm to optimize power extraction from TEG systems. …”
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Synthetic Analysis Of Fluid Flow Through Particle Image Velocimetry (PIV) by Ahmad Fauzi, Marwan Asyraaf

“…The research is about creating an algorithm derived from cross-correlation theory that is being used in extracting velocity of the fluid. …”
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Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun by Chong , Kai Lun

“…However, due to some drawbacks, an advanced technique was employed in this study. The proposed method involves using a convolutional neural network (CNN) with a feature extraction ability to learn from the hydrological dataset efficiently. …”
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Type 2 Fuzzy Inference-Based Time Series Model by Nur Fazliana, Rahim, Mahmod, Othman, Rajalingam, Sokkalingam, Evizal, Abdul Kadir

“…A sliding window method was proposed to find a proper and systematic measurement for predicting the number of class intervals. …”
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Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm by Reza M.S., Hannan M.A., Mansor M., Ker P.J., Rahman S.A., Jang G., Mahlia T.M.I.

“…However, existing RUL prediction approaches have difficulties with variability and nonlinearity that occur during battery degradation, data extraction, feature extraction, hyperparameters optimization, and prediction model uncertainty. …”

A review of slicing techniques in software engineering by Shah, Asadullah, Raza, Ali, Hassan, Basri, Shah, Abdul Salam

“…A common practice now is to extract the sub models out of the giant models based upon the slicing criteria. …”
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Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques by Qayyum, A., Malik, A.S., Shuaibu, A.N., Nasir, N.

“…Furthermore, the color distortion filtering method is used for pre-processing in order to extract the less noisy YCbCr signal. …”
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Optimization of Amplitude Versus Offset Attributes for Lithology and Hydrocarbon Indicators Using Recurrent Neural Network by Refael, R., Hermana, M., Hossain, T.M.

“…The model managed to predict the I-35 hydrocarbon reservoir zone anomalies, characterized by low SQp (sand-prone interval) and high SQs (hydrocarbon-bearing interval). …”
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IMPLEMENTATION OF A TIME SERIES PREDICTION ALGORITHM FOR COVID-19 CONFIRMED CASES IN MALAYSIA : A PRELIMANARY STUDY AFTER THE RECOVERY MOVEMENT CONTROL ORDER by Tee, Bee Lin

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Automated fault detection and extraction under gas chimneys using hybrid discontinuity attributes by Imran, Q.S., Siddiqui, N.A., Latiff, A.H.A., Bashir, Y., Khan, M., Qureshi, K., Al-Masgari, A.A.-S., Ahmed, N., Jamil, M.

“…The result is the volume with razor sharp discontinuities which are tracked and extracted automatically. Contrary to several available fault tracking techniques that use local seismic continuity like coherency attributes, our hybrid method is based on directed semblance, which incorporates aspects of Dave Haleâ��s superior fault-oriented semblance algorithm. …”
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Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

“…Furthermore, variable databus widths are used in the data path of the proposed architecture, which leads to reducing the hardware cost and silicon area. …”
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Application of texture analysis in echocardiography images for myocardial infarction tissue by Agani, N., Abu Bakar, Syed Abdul Rahman, Sheikh Salleh, Sheikh Hussain

“…The classifier used in this work is the Mahalanobis distance classifier. The method is tested with clinical data from echocardiography images of 17 patients. …”
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Geoid determination over northern region of peninsular Malaysia / using / KTH method / Nurul Nabilah Md Yusof by Md Yusof, Nurul Nabilah

“…For the missing gravity data in the study area, the surface gravity anomalies extracted from World Gravity Map 2012 is used. The new gravimetric geoid model has been developed in the Northern region using 1’x1’ arc minute grid interval with limit of latitude N4.75° to N7° and longitude E99.25° to E101.25°. …”
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Crypt Edge Detection Using PSO,Label Matrix And BI-Cubic Interpolation For Better Iris Recognition(PSOLB) by Hashim, Nurul Akmal

“…Recently,there has been renewed interest in iris features detection.Gabor filter,cross entrophy, upport vector,and canny edge detection are methods which produce iris codes in binary codes representation.However,problems have occurred in iris recognition since low quality iris images are created due to blurriness,indoor or outdoor settings, and camera specifications.Failure was detected in 21% of the intra-class comparisons cases which were taken between intervals of three and six months intervals.However,the mismatch or False Rejection Rate (FRR) in iris recognition is still alarmingly high.Higher FRR also causes the value of Equal Error Rate (EER) to be high.The main reason for high values of FRR and EER is that there are changes in the iris due to the amount of light entering into the iris that changes the size of the unique features in the iris.One of the solutions to this problem is by finding any technique or algorithm to automatically detect the unique features.Therefore a new model is introduced which is called Crypt Edge Detection which combines PSO,Label Matrix,and Bi-Cubic Interpolation for Iris Recognition (PSOLB) to solve the problem of detection in iris features.In this research, the unique feature known as crypts has been chosen due to its accessibility and sustainability.Feature detection is performed using particle swarm optimisation (PSO) as an algorithm to select the best iris texture among the unique iris features by finding the pixel values according to the range of selected features.Meanwhile, label matrix will detect the edge of the crypt and the bi-cubic interpolation technique creates sharp and refined crypt images.In order to evaluate the proposed approach,FAR and FRR are measured using Chinese Academy of Sciences' Institute of Automation (CASIA) database for high quality images.For CASIA version 3 image databases, the crypt feature shows that the result of FRR is 21.83% and FAR is 78.17%.The finding from the experiment indicates that by using the PSOLB,the intersection between FAR and FRR produces the Equal Error Rate (EER) with 0.28%,which indicated that equal error rate is lower than previous value, which is 0.38%.Thus,there are advantages from using PSOLB as it has the ability to adapt with unique iris features and use information in iris template features to determine the user.The outcome of this new approach is to reduce the EER rates since lower EER rates can produce accurate detection of unique features.In conclusion,the contribution of PSOLB brings an innovation to the extraction process in the biometric technology and is beneficial to the communities.…”
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Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei by Chen , Shilei

“…Specifically, the back-propagation (BP) network was employed in the supervised learning method, and the FRF changes in a selected frequency interval at several measurement points were used as the input of the network. …”
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Automated diagnosis of diabetes using entropies and diabetic index by Acharya, U.R., Fujita, H., Bhat, S., Koh, J.E.W., Adam, M., Ghista, D.N., Sudarshan, V.K., Chua, K.P., Chua, K.C., Molinari, F., Ng, E.Y.K., Tan, R.S.

“…The R-R interval signals are decomposed using Shearlet transforms integrated with Continuous Wavelet Transform (CWT), and their characteristic features are extracted by using Shannon's, Renyi's, Kapur entropies, energy and Higher Order Spectra (HOS). …”
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