Search Results - (( between learning algorithm ) OR ( between ((banking algorithm) OR (warping algorithms)) ))

Evaluating Machine Learning Algorithms for Fake Currency Detection by Keerthana, S.N, Chitra, K.

“…Due to the subtle similarities between genuine and fake notes, distinguishing between them can be challenging. …”
Get full text
Get full text
Get full text
Get full text

Stereo matching algorithm using deep learning and edge-preserving filter for machine vision by Abd Gani, Shamsul Fakhar, Miskon, Muhammad Fahmi, Hamzah, Rostam Affendi, Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Herman, Adi Irwan

“…The transform warps the input signal adaptively to allow linear 1D filtering. …”
Get full text
Get full text
Get full text
Get full text

Loss minimization in load flow simulation in power system by Mohamad Firdaus, Mat Hussin

Get full text

Improving hand written digit recognition using hybrid feature selection algorithm by Wong, Khye Mun

“…Therefore, many researchers have applied and developed various machine learning algorithms that could efficiently tackle the handwritten digit recognition problem. …”
Get full text
Get full text

Raspberry Pi-Based Finger Vein Recognition System Using PCANet by Quek, Ee Wen

“…PCA is employed for learning multistage filter banks. Binary hashing and block histograms are the steps for indexing and pooling. …”
Get full text
Get full text

Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition by Wong, Yan Chiew, Mohamad Noor, Nor Amalia Dayana, Mohd Noh, Zarina, Sarban Singh, Ranjit Singh

“…Establishing functioning spiking neural networks (SNN) involves figuring out the neuron’s state through its activity level, challenging due to its resemblance to the human brain’s data processing, yet appealing due to factors like improved unsupervised learning methods, with ten parameters chosen for the learning algorithm of SNN. …”
Get full text
Get full text
Get full text
Get full text

Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation by Mirza Rizwan, Sajid, Noryanti, Muhammad, Roslinazairimah, Zakaria, Shahbaz, Ahmad, Nauman, Ahmad

“…The information on demographic, SE, modifiable and clinical factors of CVDs was recorded. Warp partial least squares (PLS) based on warp 3 algorithm was used to estimate the simultaneous linear and non-linear path coefficients of the proposed model of study. …”
Get full text
Get full text
Get full text

Hybrid Method for Digits Recognition using Fixed-Frame Scores and Derived Pitch by Sudirman, Rubita, Salleh, Sh-Hussain, Salleh, Shaharuddin

“…In this study, dynamic warping process is used, in which local distance scores of the warping path are fixed and collected so that their scores are of equal number of frames. …”
Get full text
Get full text

Local DTW coefficients and pitch feature for back-propagation NN digits recognition by Sudirman, R., Salleh, Shahruddin Hussain, Salleh, Sh-Hussain

“…The LPC features vectors are aligned between the source frames to the template using our DTW frame fixing (DTW-FF) algorithm. …”
Get full text

Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

“…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
Get full text
Get full text

Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition by Sudirman, Rubita, Salleh, Sh-Hussain, Salleh, Shaharuddin

“…The LPC features vectors are aligned between the source frames to the template using our DTW frame fixing (DTW-FF) algorithm. …”
Get full text
Get full text
Get full text

Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform by Ooi , Chong Wei

“…Lastly, images are warped and composited into single scene. Experimental results shows that SURF and SIFT are robust algorithm performing stable key point detection. …”
Get full text
Get full text

Hybrid Neural Network With K-Means For Forecasting Response Candidate In Direct Marketing by Ramadhan, Rakhmat Sani

“…K-means algorithm grouping process by minimizing the distance between the data and designed can handle very large dataset also continuous and categorical variable for handling imbalanced dataset. …”
Get full text
Get full text
Get full text
Get full text

A novel framework for secure cryptocurrency transactions using quantum crypto guard by Jamil Alsayaydeh, Jamil Abedalrahim, Yusof, Mohd Faizal, Yahaya, Nor Adnan, Kovtu, Viacheslav, Herawan, Safarudin Gazali

“…In addition, the existing algorithms face difficulties like slow transaction speeds, interoperability issues between different cryptocurrencies, and privacy concerns. …”
Get full text
Get full text
Get full text
Get full text

Time series data intelligent clustering algorithm for landslide displacement prediction by Han, Liu, Shang, Tao, Shu, Jisen, Khan Chowdhury, Ahmed Jalal

“…Experimental results show that the proposed algorithm has better clustering effect and higher clustering accuracy.…”
Get full text
Get full text
Get full text
Get full text
Get full text

Animal voice recognition for identification (ID) detection system by Yeo, Che Yong, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ng, Chee Kyun

“…In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-rate (ZCR), Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) joint algorithms as the tools for recognizing the voice of the particular animal. …”
Get full text
Get full text

Dog voice identification (ID) for detection system by Yeo, Che Yong, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ng, Chee Kyun

“…In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-rate (ZCR), Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) joint algorithms as the tools for recognizing the voice of the particular animal. …”
Get full text
Get full text

NN speech recognition utilizing aligned DTW local distance scores by Sudirman, Rubita, Salleh, Sh-Hussain, Ting, Chee Ming

“…The LPC features are aligned between the input frames (test set) to the reference (training set) using our DTW fixing frame (DTW-FF) algorithm. …”
Get full text
Get full text
Get full text

An improved method in speech signal input representation based on DTW technique for NN speech recognition system by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

“…The paper also proposes the use of pitch feature derived from the recorded speech data as another input feature. The Dynamic Time Warping algorithm (DTW) is the back–bone of the newly developed algorithm called DTW fixing frame algorithm (DTW–FF) which is designed to perform template matching for the input preprocessing. …”
Get full text
Get full text
Get full text

A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby by Tamby, Azhar

“…In this research, there are two algorithm of neural network will be used. It is coming from supervised and unsupervised learning algorithm. …”
Get full text
Get full text