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Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map by Sumiati, .

“…This research was conducted using the Certainty Cognitive Map (CCM) approach used to diagnose heart disorders based on electrocardiogram data. This research has 3 objectives To develop algorithms for detecting heart conditions as either abnormal or normal using the modified cognitive map (CM) approach, To develop detection algorithms for anomalous heart conditions based on the enhancement of Certainty Factor (CF) technique, and To evaluate and validate the effectiveness of the new proposed model specifically the Certainty Cognitive Map (CCM) for identifying heart defects. …”
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A lower complexity K best algorithm for multiple input and multiple output detection by Jabir, Amjad Najim, Khatun, Sabira, Noordin, Nor Kamariah, Mohd Ali, Borhanuddin

“…This paper presents Multiple Input Multiple Output (MIMO) detection steps using tree search based method known as the ‘K’ best algorithm. …”
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White root disease auto-detection system for rubber trees based on dynamic electro-biochemical latex properties / Mohd Suhaimi Sulaiman by Sulaiman, Mohd Suhaimi

“…This research proposes an Auto-Detection System which has the ability of detecting the disease with high accuracy, low cost and in a short period of time by developing an Auto-Detection System that could classify between healthy rubber trees and white root disease infected rubber trees. …”
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A lower complexity k best algorithm for multiple input and multiple output detection by Jabir, Amjad N., Sabira, Khatun, Noordin, N. K., Ali, B. M.

“…This paper presents Multiple Input Multiple Output (MIMO) detection steps using tree search based method known as the ‘K’ best algorithm. …”
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SVD-based signal detector for cognitive radio networks by Omar, Mohd. Hasbullah, Hassan, Suhaidi, Amphawan, Angela, Awang Nor, Shahrudin

“…This paper examines the implementation of the Singular Value Decomposition (SVD) method to detect the presence of wireless signal.The method is used to find the maximum and minimum eigenvalues.We simulated the algorithm using common digital signal in wireless communication namely rectangular pulse shape, raised cosine and root-raised cosine to test the performance of the signal detector.The SVD-based signal detector was found to be more efficient in sensing signal without knowing the properties of the transmitted signal.The execution time is acceptable compared to the favorable energy detection.The computational complexity of SVD-based detector is medium compared to the energy detector.The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown. …”
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Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods by Mohd Sharif, Zakaria, Mohammad Fadhil, Abas, Fatimah, Dg Jamil, Norhafidzah, Mohd Saad, Addie, Irawan, Pebrianti, Dwi

“…This paper shows the potential of optimization-based UAV problematic vibration detection. A proposed fitness function based on the frequency domain has been detailed. …”
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Improved Switching-Basedmedian Filter For Impulse Noise Removal by Teoh, Sin Hoong

“…Broad impulse noise model has been employed for the evaluation process, to investigate the robustness of the method. Based on the evaluations from root mean square error (RMSE), false positive detection rate, false negative detection rate, mean structure similarity index (MSSIM), processing time, and visual inspection, it is shown that the proposed method is the best method when compared with seven other state-of-the art median filtering methods.…”
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Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods by Zakaria, Mohd Sharif, Abas, Mohammad Fadhil, Dg Jamil, Fatimah, Mohd Saad, Norhafidzah, Hashim, Addie Irawan, Pebrianti, Dwi

“…This paper shows the potential of optimization-based UAV problematic vibration detection. A proposed fitness function based on the frequency domain has been detailed. …”
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Flock optimization algorithm-based deep learning model for diabetic disease detection improvement by Balasubramaniyan, Divager, Husin, Nor Azura, Mustapha, Norwati, Mohd Sharef, Nurfadhlina, Mohd Aris, Teh Noranis

“…These issues affect the system's performance and reduce diabetic disease detection accuracy. Hence, the research objective is to create an improved diabetic disease detection system using a Flock Optimization Algorithm-Based Deep Learning Model (FOADLM) feature modeling approach that leverages the PIMA Indian dataset to predict and classify diabetic disease cases. …”
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Multidimensional Minimization Training Algorithms for Steam Boiler Drum Level Trip Using Artificial Intelligence Monitoring System by Ismail, F. B., Al-Kayiem, Hussain H.

“…Results are obtained from one hidden layer neural network and two hidden layers neural network structures, for both adopted algorithms. Comparisons have been made between the results from the two algorithms based on the Root Mean Square Error. …”
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Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

“…Based on the results the proposed method is accurate in detecting islanding phenomena and effective in noisy conditions.…”
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SUDOKU HELPER by Abdul Razak, Muhammad Asyraf

“…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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Performance of Levenberg-Marquardt neural network algorithm in power quality disturbances classification / Adibah I’zzah Mohamad Kasim by Mohamad Kasim, Adibah I’zzah

“…Confusion matrix analysis confirmed the robustness of the LM-based classifier across varying input data ratios. …”
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Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture by Chong, Jin Hui

“…It is shown that the computational complexity of proposed FAST-QR detection algorithm is approximately 48 % lower than the conventional QR decomposition detection algorithm. …”
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Air quality measurement using remote sensing and digital images processing techniques / Lim, H. S. … [et al.] by Lim, H. S., Jafri, Mat, Abdullah, M. Z., Ahmad, A.N.

“…The algorithm used was based on the apparent reflectance values detected at near and far distances from the refence surface, and these in turn can be related to the concentration of the air pollutants. …”
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Snort-based smart and swift intrusion detection system by Olanrewaju, Rashidah Funke, Khan, Burhan Ul Islam, Najeeb, Athaur Rahman, Ku zahir, Ku Nor Afiza, Hussain, Sabahat

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Vibration analysis for early detection of bearing failures by Gam, Kheng Shiang

“…The algorithm's analysis results were consistent with the physical inspection of disassembled bearings. …”
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Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari by Satari, Siti Zanariah

“…Lastly, we consider the problem of detecting multiple outliers in circular regression models based on the clustering algorithm. …”
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Robust techniques for linear regression with multicollinearity and outliers by Mohammed, Mohammed Abdulhussein

“…The proposed method is formulated by incorporating robust MM-estimator and the modified generalized M-estimator (MGM) in the LRR algorithm. We call these methods the Latent Root MMbased (LRMMB) and the Latent Root MGM-based (LRMGMB) methods. …”
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A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization by Abd Halim, Syahirah

“…Another method is a combination of wavelet-based analysis using Mann and Morrison algorithm which estimates the amplitude and the phase angle to characterize the dips. …”
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