Search Results - (( location detection method algorithm ) OR ( early identification _ algorithm ))*

Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei by Chen , Shilei

“…In terms of damage severity and location identification, the proposed scheme is sensitive to detect damage severity with damage index as low as 0.05. …”
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Edge Detection Algorithm For Image Processing Of Search And Rescue Robot by A/L Sivem, Prasanthran

“…This paper highlights the various edge detection algorithms working method and comparison is made based on the advantages and disadvantages of the algorithms for the identification of an optimum edge detection algorithm. …”
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A Novel Method for Detecting Breast Cancer Location Based on Growing GA-FCM Approach by Milad Abaspoor, Saeed Meshgini, Tohid Yousefi Rezaii, Ali Farzamnia

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Facial features for template matching based face recognition by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Tan, Ching Seong, Dr.

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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar by Seyed Alireza, Ravanfar

“…Results indicate that the wavelet-based damage detection method precisely identified the location and severity of damages even without reference data. …”
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An efficient algorithm for oval shape face detection in color family photos by Hanafi, Marsyita, Wan Adnan, Wan Azizun, S. Ahmad, S. M.

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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

“…Another structure of MLP trained using backpropagation algorithm is used to detect and locate the base of the young corn tree using the skeleton of the segmented image. …”
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Radiometric partial discharge location detection in medium voltage switchgears by Kannappan M., Chakrabarty C.K., Hock G.C.

“…This paper focuses on the development of methods/algorithm to accurately locate and detect these PD signals within the 3D space of a medium voltage (MV) switch gear. …”

Best antenna arrangements for partial discharge detection in medium voltage switchgear by Permal N., Amir M.D.M., Chakrabarty C.K., Ramasamy A.K.

A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method by Zalili, Musa, Mohd Hafiz, Mohd Hassin, Nurul Izzatie Husna, Fauzi, Rohani, Abu Bakar, Watada, Junzo

“…Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. …”
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Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease by Che Hashim, Izrahayu

“…This study concluded that for the early detection of BSR, a significant degree of accuracy was obtained. …”
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Analysis of Motion Detection of Breast Tumor Based on Tissue Elasticity From B Mode Ultrasound Images Using Gradient Method Optical Flow Algorithm by Shuib, FMM, Abdulrahim, K, Zulkifli, Z, Marinah Othman

Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks by Mahzan, Shahruddin, J. Staszewski, Wieslaw, Worden, Keith

“…This paper compares two advanced signal processing methods for impact location in composite aircraft structures. …”
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Fault section detection and location on distribution network using analytical voltage sags database by Khalid, A.R., Mokhlis, Hazlie, Li, H.

“…This paper presents the application of voltage sags information for automatic fault section detection and location on a distribution network. Based on a network topology and load estimations obtained from load modeling, this method uses a three phase load flow and fault analysis to establish analytical voltage sags database information for a studied distribution network. …”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.] by Wan Xing, Sultan Mohd, Mohd Rizman, Johari, Juliana, Ahmat Ruslan, Fazlina

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Soft robotic glove system controlled with amplitude independent muscle activity detection algorithm by using single sEMG channel by Hameed, Husamuldeen Khalid, Wan Hasan, Wan Zuha, Shafie, Suhaidi, Ahmad, Siti Anom, Jaafar, Haslina

“…The algorithm employs two amplitude independent and computations efficient methods to detect weak and noisy muscle activities from surface electromyography (sEMG) signal obtained by a single channel located on the forearm. …”
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Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition by Yuri, Nur Fatin Izzati

“…Viola-Jones algorithm is utilized for face detection. Upon acquiring the face location, the knowledge-based method is implemented to locate the eye and the mouth. …”
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A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Salami, Momoh Jimoh Eyiomika, Shafie, Amir Akramin, Bouhabba, El Mehdi

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Design of intelligent Qira’at identification algorithm by Kamarudin, Noraziahtulhidayu

“…A combination of Principal Component Analysis (PPCA) and Gaussian Mixture Model (GMM) is proposedly in used for the classification phase as it is able to reduce any redundancy from the latent variables and carries only the most important information through dispersion of entropy. To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

“…The performance of this method can work in some specific use cases and effectively solving the problem of the inaccurate classification and detection of typical features.…”
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