Search Results - back ((electron algorithm) OR (detection algorithm))

Automatic detection of voice disorders using self loop architecture in back propagation network by Murugesa Pandiyan, Paulraj, Prof. Madya Dr, Sazali, Yaacob, Prof. Dr., Sivanandam, S. N., Muthusamy, Hariharan, Dr.

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Charge-coupled device based on optical tomography system for monitoring two-phase flow by Jamaludin J., Rahim R.A., Rahim H.A., Rahiman M.H.F., Rohani J.M.

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Sphere detection analysis performance combined with the LDPC decoding / Xiao Peng and Satoshi Goto by Xiao, Peng, Satoshi, Goto

“…For LDPC codes, min-sum and layered decoding algorithms are discussed, and for MIMO detection, the maximum likelihood (ML) decision based on the sphere decoding algorithm is mainly analyzed. …”
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Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar by Abdul Ghafar, Nor Hamidah

“…The binary representation was used for the input node of neural network for back propagation training algorithm. To ensure a good performance of logo recognition prototype, numbers of experiments are done by adjusting the parameters of back propagation training algorithm. …”
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Artificial neural networks and genetic algorithm for transformer winding/insulation faults by K.S.R., Rao, K.N., Nashruladin

“…Genetic Algorithm is used to derive the optimal key gas ratios to enhance the accuracy of fault detection. …”
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The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen by Panagen, Suriyanti

“…Knowledge appearance is compulsory for neural network in which it comes under the training phase before it recognize or detecting any pattern.A study about the artificial neural network has been done and back propagation training algorithm is suitable for this system development. …”
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Charge-coupled device based on optical tomography system for monitoring two-phase flow by Jamaludin J., Rahim, RA, Rahim, HA, Rahiman, MHF, Rohani, JM

Detection Of Misplaced And Missing Regions In Image Using Neural Network by Tan , Jin Siang

“…Based on research, most of the algorithms are not intelligent enough and only able to detect the missing component. …”
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SEDF: a spoofed email detection framework employed by a lightweight web browser plug-in for detecting the spoofed email / Al Ya@Geogiana Buja...[et al.] by Buja, Al Ya@Geogiana, Ahmad, Illiasaak, Zolkeply, Mohd Syafiq

“…The method used to detect fake e-mail is by tracing back the email header. …”
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APPLICATION OF ANN AND GA FOR TRANSFORMER WINDING/ INSULATION FAULTS by NASHRULADIN, KHAIRUN NISA'

“…A back propagation training method is applied in neural network to detect the faults without cellulose involvement. …”
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Obstacle Detection And Avoidance System by Yew, Chang Chern

“…The robot car is designed to avoid obstacle detected in front of the robot car and continues to move back the path in straight line. …”
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Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network by Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke

“…The complex values form the input data of the Complex Back-Propagation (CBP) algorithm. Because neural networks perform best on detection, classification, learning and adaption, these features are employed to simulate the Safe Region (SR) to embed the watermark, thus, watermark are appropriately mapped to the mid frequency of selected coefficients. …”
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Application of neural networks in early detection and diagnosis of parkinson's disease by Olanrewaju, Rashidah Funke, Sahari, Nur Syarafina, Aibinu, Abiodun Musa, Hakiem, Nashrul

“…Hence, this study proposes a method in early detection and diagnosis of PD by using the Multilayer Feedforward Neural Network (MLFNN) with Back-propagation (BP) algorithm. …”
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Fault Detection and Identification in Quadrotor System (Quadrotor Robot) by Chan, Shi Jing, Pebrianti, Dwi

“…The aim of the research is to construct and design a Fault Detection and Isolation algorithm. This dynamic model is based on the first principles of the Quadrotor: Propeller model and its force as well as moments generation. …”
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Wearable based-sensor fall detection system using machine learning algorithm by Ishak, Anis Nadia, Habaebi, Mohamed Hadi, Yusoff, Siti Hajar, Islam, Md. Rafiqul

“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Obstacles Avoidance Mobile Robot by Aminuddin, Mohammad Muzammil

“…Ultrasonic sensors will be the main device to collect all the information from the surrounding. The algorithm simply works by driving the robot forward until it detects an obstacle; once it does, it backs up, turns away and resumes moving forward. …”
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Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar by Subri, Syarul Haniz

“…The neural network package in Matlab software was used by this artificial intelligent method to develop a neural network classifier. Back propagation neural network algorithm was used to develop and produce the classifier for corner detector algorithm. …”
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Wind Turbines: Novel Control Algorithm in Region II by Oudah, Ali A., Izzeldin, I. Mohd, A., Hameed, Zulkifli, Md. Yusof

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Damageless Digital Watermarking Using Complex-valued Artificial Neural Network by Olanweraju, Rashidah Funke

“…The complex values form the input data of the Complex Back-Propagation (CBP) algorithm. Because neural networks perform best on detection, classification, learning and adaption, these features are employed to simulate the Safe Region (SR) to embed the watermark, thus, watermark are appropriately mapped to the mid frequency of selected coefficients. …”
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Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device by Jamaludin J., Rahim R.A., Fazul Rahiman M.H., Mohd Rohani J.

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