Search Results - adaptive _ differentials ((detection algorithm) OR (exraction algorithm))

Improved Switching-Basedmedian Filter For Impulse Noise Removal by Teoh, Sin Hoong

“…Next, in the noise detection stage, in addition to the originally proposed intensity distance differential approach, the new method includes intensity height differential approach to reduce false detection rate. …”
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The noise reduction algorithm for star detection by Razaman, Anis Hannani, Ahmad, Yasser Asrul, Gunawan, Teddy Surya, Khalifa, Othman Omran, Saidin, Norazlina

“…This paper presents a noise reduction algorithm that enhances the detection of star blobs in noisy star images. …”
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Development of intrusion detection system using residual feedforward neural network algorithm by Rustam, Rushendra, Ramli, Kalamullah, Hayati, Nur, Ihsanto, Eko, Gunawan, Teddy Surya, Halbouni, Asmaa Hani

“…This detection system must differentiate between normal data and abnormal or hacker-generated data. …”
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Development of novel distance relay scheme to prevent false tripping during power swing by Mohamad, Nor Zulaily

“…The proposed adaptive algorithm has been developed by employing the combination of both detection schemes, as well as based on an adaptive setting of Under Impedance Fault Detector (UIFD) tripping characteristics to dynamically adjust its tripping region during power swing and stop the adjustment if a fault occurs during power swing. …”
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Block multistep methods for solving first order retarded and neutral delay differential equations by Abdul Aziz, Nurul Huda

“…Special attention according to the numerical treatment of discontinuity in the delay solution is also presented where the techniques developed is from the adaptation of ‘detect, locate and treat’ strategy. The results of these strategies are shown that it can be applied in the block multistep methods and able to solve even a type of state-dependent delays. …”
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Computerized segmentation of sinus images by Iznita , I.L., Asirvadam , Vijanth Sagayan, Venkatachalam, P.A, Lee, S.N

“…Multilevel thresholding algorithms were developed to segment the images into meaningful regions for the detection and diagnosis of sinusitis. …”
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Segmentation of Sinus Images for Grading of Severity of Sinusitis by Iznita , I.L., Asirvadam , Vijanth Sagayan

“…This project attempts to develop a computerize system by developing algorithm for the segmentation of sinus images for the detection of sinusitis. …”
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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM by MOHAMED ELTOUKHY, MOHAMED MESELHY

“…The thesis then provides an automatic system for breast cancer detection. An automatic thresholding algorithm was used to separate the area composed of the breast and the pectoral muscle from the background of the image. …”
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Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter by Nooralishahi, Parham, Loo, Chu Kiong, Shiung, Liew Wei

“…Although many methods are available to measure heart rate remotely from face videos, most of them only work well on stationary subjects under well-controlled conditions, and their performance significantly degrades under subject's motions and illumination variation. We propose a novel algorithm to estimate heart rate. Also, it can differentiate between a photo of a human face and an actual human face meaning that it can detect false signals and skip them. …”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin, Hassan, Muhammad Zarif, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

“…In HMDB51 dataset, the proposed average detection accuracy of ST-GCN action recognition algorithm based on MediaPipe framework reaches 88.3%. …”
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Enhanced Medium Access Control Protocol for Resolving Node Misbehavior in Wireless Networks by Nordin, Noorsalwati

“…The metrics employed to measure the performance of the proposed algorithms are average throughput, fairness index, channel utilization and throughput ratio. …”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…In Chapter 3, we propose a new online system to detect malicious spam emails and to adapt to the changes of malicious URLs in the body of spam emails by updating the system daily. …”
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