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The fusion of edge detection and mathematical morphology algorithm for shape boundary recognition by Othman, Mahmod, Syed Abdullah, Sharifah Lailee, Ahmad, Khairul Adilah, Abu Bakar, Mohd Nazari, Mansor, Ab Razak

“…Implementation of the proposed method shows that it is robust and applicable for various kind of fruit images and is more accurate than the existing edge detection algorithms.…”
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An evaluation on KNN-SVM algorithm for detection and prediction of DDoS attack by Yusof, Ahmad Riza’ain, Udzir, Nur Izura, Selamat, Ali

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Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar... by Shamsudin, Muhammad Azziq, Aminuddin, Raihah, Abdul Jalil, Ummu Mardhiah

“…Their facial expression is measure and determine based on Rating of Perceived Exertion (RPE) scale. The object detection machine learning model used in this project is Single Shot Detector (SSD) algorithm. …”
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Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

“…The performance of the algorithm is discussed in the results and discussion section. …”
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Fault Detection Relevant, Neural Network and Evolutionary Algorithm based Model for a Single-shaft Industrial Gas Turbine by Alemu Lemma, Tamiru, Rangkuti, Chalillullah, Mohd Hashim, Fakhruldin

“…This adds up to more nonlinearity of the system. In this paper the result of an attempt to develop a substitute nonlinear model based on multilayer neural network (MLNN) and evolutionary algorithm (EA) for a single-shaft gas turbine having IGVs and VSVs is presented. …”
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Comparison of anonymous tracker algorithms / Nur Shafikah Mat Daud by Mat Daud, Nur Shafikah

“…Then, time processing and accuracy which one is the best of algorithms will be determine. The research is provide useful significance that able to detect identity of user allow as anonymous and able to detect location of user through IP Address. …”
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Embedded Fuzzy Classifier for Detection and Classification of Preseizure state using Real EEG data by Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed

“…In order to make all this in a ubiquitous form factor, the algorithm for classification and detection of the pre-seizure conditions should be tremendously simple for processing the signal in a low cost ubiquitous microcontroller. …”
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Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network by Ali, M.S., Bakar, Ab Halim Abu, Tan, Chia Kwang, Mokhlis, Hazlie, Arof, Hamzah

“…This paper will present an enhanced high impedance fault location algorithm based on the database technique. This paper is an extension of a faulty section identification algorithm developed previously. …”
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Identifying melanoma characteristics using directional imaging algorithm and convolutional neural network on dermoscopic images / Mohammad Asaduzzaman Rasel by Mohammad Asaduzzaman , Rasel

“…As part of future work, incorporating more dermoscopic features such as irregular blotches and regression structures in the analytical section would be promising. …”
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Facial emotion detection using Guided Particle Swarm Optimization (GPSO) by Bashir, Mohammed Ghandi, Nagarajan, R., Hazry, Desa

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Embedded Fuzzy Classifier for Detection and Classification of Preseizure State Using Real EEG Data by Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed

“…In order to make all this in a ubiquitous form factor, the algorithm for classification and detection of the pre-seizure conditions should be tremendously simple for processing the signal in a low cost ubiquitous microcontroller. …”
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Efficient 3D stereo vision stabilization for multi-camera viewpoints by Bhuiyan, Sharif Shah Newaj, Khalifa, Othman Omran

“…Then calculated planar transformation will be applied for real time video rendering. The proposed algorithm can process more than 200 camera viewpoints within two seconds.…”
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A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim by Ibrahim, Shafaf

“…Detection of primary brain tumors is inspired by the necessity of high accuracy as it deals with human life. …”
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Implement edge pruning to enhance attack graph generation using the naïve approach algorithm by Al-Araji, Zaid J., Mutlag, Ammar Awad, Syed Ahmad, Sharifah Sakinah

“…The attack surface for hackers is growing as more devices are linked to the internet. The next generation cyber defence concentrating on predictive analysis seems more proactive than existing technologies based on intrusion detection. …”
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Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri by Milad , Miri

“…Usually, most of the standard face recognition systems contain four sections: face detection, feature extraction, feature selection, and classification. …”
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Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat by Mohammadreza, Moohebat

“…Moreover, the result of this section was essential for me as a benchmark. After ensuring that the classification technique was able to accomplish this work, Hybrid Genetic Random Forests (HGRF) was introduced as a new ensemble classifier based on a Random Forest algorithm, but altered slightly with some innovations. …”
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Signal quality measures on pulse oximetry and blood pressure signals acquired from self-measurement in a home environment by Abd Sukor, J., Mohktar, M.S., Redmond, S.J., Lovell, N.H.

“…The assessment of pulse oximetry signals shows 95 of good sections and 67 of noisy sections were correctly detected by the developed algorithm, and a Cohen's Kappa coefficient (kappa) of 0.58 was obtained in 120 pooled signals. …”
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Attack graph construction for enhancing intrusion prediction based on vulnerabilities metrics by Al-Araji, Zaid Jasim Mohammed

“…The attack surface for hackers is growing as more devices are linked to the internet. The next-generation cyber defence concentrating on predictive analysis seems more proactive than existing technologies based on intrusion detection. …”
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Maritime radar: a review on techniques for small vessels detection by Zainuddin, Suraya, Pasya, Idnin, Abd. Rashid, Nur Emileen, Zaiaami, Nadiy, Maryam, Asiah, Raja Abdullah, Raja Syamsul Azmir, Megat Ali, Megat Syahirul Amin

“…In comparison with terrestrial radar systems, maritime radar faces the challenge of large clutter signals, contributed by sea waves. This problem becomes more critical when the system is detecting relatively small vessels, where the probability of detection is reduced due to small radar cross section (RCS) of the vessels themselves. …”
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Maritime radar: a review on techniques for small vessels detection / Suraya Zainuddin … [et al.] by Zainuddin, Suraya, Pasya, Idnin, Abd. Rashid, Nur Emileen, Zaiaami, Nadiy, Maryam, Asiah, Raja Abdullah, Raja Syamsul Azmir, Megat Ali, Megat Syahirul Amin

“…In comparison with terrestrial radar systems, maritime radar faces the challenge of large clutter signals, contributed by sea waves. This problem becomes more critical when the system is detecting relatively small vessels, where the probability of detection is reduced due to small radar cross section (RCS) of the vessels themselves. …”
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