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1
Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
Published 2019“…The TF-IDF algorithm is used to filter Android features filtered before detection process. …”
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Thesis -
2
Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
Published 2019“…Furthermore, two widely feature detection algorithms, which is Harris Corner Detector and FAST Corner Detector are used to compare in terms of the amount of corner point detection and run time of processing. …”
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3
Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…Thus, this study proposes an enhanced binary grey wolf optimiser (EBGWO) algorithm for FS in anomaly detection to overcome the algorithm issues. …”
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4
Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.]
Published 2020“…The experimental results showed that the proposed algorithms could be practical in terms of effectively detecting road lines and generate lane detection…”
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5
An adept edge detection algorithm for human knee osteoarthritis images
Published 2023“…In this paper, Sobel edge detection operator and its enhanced algorithm are first discussed in terms of optimal thresholding in C language under Linux platform. …”
Conference Paper -
6
Evaluation of feature selection algorithm for android malware detection
Published 2018“…This paper synthesizes an evaluation of feature selection algorithm by utilizing Term Frequency Inverse Document Frequency (TF-IDF) as the main algorithm in Android malware detection. …”
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7
An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…Therefore,it is dreadful to determine important and relevant rules for the next process . As a result, the aim of the study is to improve classification performance in terms of accuracy, detection rate and false positive alarm rate decreased for IDS application. …”
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8
An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi
Published 2021“…The performance of the proposed method and other existing techniques (Genetic Algorithm, Artificial Immune System and Immune-Genetic Algorithm) were analysed to evaluate and determine its efficiency in terms of maximum intrusion detection rate and the highest true positive rate. …”
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9
Execution time optimization analysis on multiple algorithms performance of moving object edge detection
Published 2023“…This paper analyzes execution time optimization analysis between Sobel and Canny image processing algorithms in terms of moving objects edge detection. …”
Conference paper -
10
Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus
Published 2018“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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11
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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Proceeding Paper -
12
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2018“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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13
Vertical-edge-based car-license-plate detection method
Published 2013“…Then, the candidate region based on statistical and logical operations will be extracted. Finally, an LP is detected. The third contribution is that we compare the VEDA to the Sobel operator in terms of accuracy, algorithm complexity, and processing time. …”
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14
Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
Published 2023“…Evaluation was made based on various evaluation metrics related to outlier detection and clustering quality. The results indicate that the AGMB algorithm outperformed existing benchmark algorithms in terms of predefined evaluation criteria with an overall 72% accuracy compared to benchmark algorithms which is 11 % only. …”
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15
Detection and extraction features for signatures images via different techniques
Published 2019“…Three techniques have been applied using (UTSig) dataset; the results showed that the BRISK algorithm got the best result among the feature detection algorithm in terms of accuracy and the FAST algorithm got the best result among the feature detection algorithm in terms of run time.…”
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Conference or Workshop Item -
16
Integration of Image Processing Algorithm and Path Planning for Search and Rescue Robot
Published 2017“…To apply these algorithms, OpenCV was used. In terms of hardware, Raspberry Pi were used to perform image processing and robot movement. …”
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Final Year Project -
17
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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18
Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…In general, the process of fake news detection was conducted in two different phases, the topic detection phase using a graph-based unsupervised clustering method based on HFPA and Markov Clustering Algorithm (MCL) called (HFPA-MCL) and the fake news detection phase using an unsupervised clustering method based on K-means algorithm. …”
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Thesis -
19
Process monitoring and fault detection in nonlinear chemical process based on multi-scale Kernel Fisher discriminant analysis
Published 2015“…A monitoring statistic based on Hoteling’s T2 statistics is used in process monitoring and fault detection. The Tennessee Eastman benchmark process is used to demonstrate the performance of the proposed approach in comparison with conventional statistical monitoring and fault detection methods. …”
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Conference or Workshop Item -
20
Fast temporal video segmentation based on Krawtchouk-Tchebichef moments
Published 2020“…The proposed algorithm is based on orthogonal moments which are considered as features to detect transitions. …”
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