Search Results - mode detection algorithm

Weighting method for modal parameter based damage detection algorithms by Fayyadh, M.M., Abdul Razak, H.

“…This study proposes weighting method for damage detection algorithms based on the bending mode shapes for beam structures. …”
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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

Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield by Shahrim, Muhamad Azim, Harmin, Mohammad Yazdi, Romli, Fairuz Izzuddin, Chia, Chen Ciang, Jung-Ryul, Lee

“…Ultrasonic wavefield inspection has been available for a while and it is a great method for damage detection. However, the challenge lies in the complexity of the algorithm for mode isolation. …”
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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 F.M.M., Othman, M., Abdul Rahim, K., Zulkifli Z.

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Modification of fractal algorithm for oil spill detection from RADARSAT-1 SAR data by Marghany, Maged, Cracknell, Arthur P., Hashim, Mazlan

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Modified damage location indices in beam-like structure: Analytical study by Fayyadh, M.M., Razak, H.A.

“…It is also concluded that the modified algorithms have the sensitivity to detect the damage regardless of its severity. …”
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Application of weighted average on modal parameters for damage detection algorithms: Case study on steel beam by Fayyadh, M.M., Abdul Razak, H.

“…Proposed method returns one value of stiffness deterioration based on the considered set of modes, without affecting the sensitivity of damage detection algorithms. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Dheyab, Saad Ahmed, Mohammed Abdulameer, Shaymaa, Mostafa, Salama A

“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. The present study proposes an efficient DDoS attack detection model. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Dheyab, Saad Ahmed, Mohammed Abdulameer, Shaymaa, Mostafa, Salama A.

“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. The present study proposes an efficient DDoS attack detection model. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Ahmed Dheyab, Saad, Mohammed Abdulameer, Shaymaa, Mostafa, Salama A

“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. The present study proposes an efficient DDoS attack detection model. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Dheyab, Saad Ahmed, Mohammed Abdulameer, Shaymaa, Mostafa, Salama

“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. The present study proposes an efficient DDoS attack detection model. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Dheyab, Saad Ahmed, Mohammed Abdulameer, Shaymaa, Mostafa, Salama

“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. The present study proposes an efficient DDoS attack detection model. …”
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Segmentation of Malay syllables in connected digit speech using statistical approach by Salam, M.S., Mohamad, Dzulkifli, Saleh, S.H.

“…Segmentation was done in time domain signal using statistical approaches namely the Brandt’s Generalized Likelihood Ratio (GLR) algorithm and Divergence algorithm. These approaches basically detect abrupt changes of energy signal in order to determine the segmentation points. …”
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Real‑time chatter detection during turning operation using wavelet scattering network by Sharma, Sanjay, Gupta, Vijay Kumar, Rahman, Mustafizur, Saleh, Tanveer

“…Several attempts have been made to detect chatter. Some manual feature extraction methods used to detect the chatter involve wavelet packet transform (WPT), ensemble empirical mode decomposition (EEMD), local mean decomposition (LMD), and variational mode decomposition (VMD). …”
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Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation by Mohamed, Shakir, Qidwai, Uvais, Malik, Aamir Saeed, Kamel , Nidal

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Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function by Ali Z., Peng S.A., Norfauzi M.

Collision avoidance algorithm design for UAV base on parametric theorem and circle overlapping method / Nur Fadzilah Mohamad Radzi by Nur Fadzilah, Mohamad Radzi

“…Finally, the collision avoidance algorithm is verified through MATLAB software. Various cases are tested to demonstrate the robustness of both collision detection and avoidance algorithms.…”
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Performance Analysis Of Different Hash Functions Using Bloom Filter For Network Intrusion Detection Systems In 32-Bit And 64-Bit Computer Operation Mode. by Tan , Beng Ghee

“…Experiment result also indicates that the Bloom Filter executes faster in 64-bit Mode as compared to 32-bit Mode, regardless of the hash. …”
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Normalized advancement based totally opportunistic routing algorithm with void detection and avoiding mechanism for underwater wireless sensor network by Rahman, Ziaur, Hashim, Fazirulhisyam, A. Rasid, Mohd Fadlee, Othman, Mohamed, Alezabi, Kamal Ali Ahmed

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Event Priority Driven Dissemination EPDD Management Algorithm For Low Power WSN Nodes Powered By A Dual Source Energy Harvester by Abdal-Kadhim, Ali Mohammed, Kok, Swee Leong

“…This algorithm serves both to detect the availability of the energy source and to control the nodes’ sleep mode. …”
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