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Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC) by Ibrahim, Kamarul 'Asri, Ahmad, Arshad, Ali, Mohamad Wijayanuddin, Mak, Weng Yee

“…Multivariate Statistical Process Control (MSPC) uses historical data of processes to develop useful process fault detection, diagnosis and control tools. …”
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Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree by Bhuiyan, Sharif Shah Newaj, Khalifa, Othman Omran

“…It always gives successful stabilization output. This process doesn’t need to analyze the key-points twice. …”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.] by Wan Xing, Sultan Mohd, Mohd Rizman, Johari, Juliana, Ahmat Ruslan, Fazlina

“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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Improving the efficiency of clustering algorithm for duplicates detection by Emran, Nurul Akmar, Abdul Rahim, Abdulrazzak Ali Mohamed, Kamal Baharin, Safiza Suhana, Othman, Zahriah, Salem, Awsan Thabet, Abd Aziz, Maslita, Md. Bohari, Nor Mas Aina, Abdullah, Noraswaliza

“…Clustering method is a technique used for comparisons reduction between the candidates records in the duplicate detection process. The process of clustering records is affected by the quality of data. …”
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An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization by Mizher, Manar Abduljabbar Ahmad, Ang, Mei Choo, Sheikh Abdullah, Siti Norul Huda, Kok, Weng Ng

“…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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Modified Miller-Rabin primality test algorithm to detect prime numbers for generating RSA keys by Shereek, Balkees Mohamed

“…The Rivest-Shamir-Adleman algorithm (RSA) is one of the most well-known and strongest public key cryptography algorithms. …”
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Landmark detection for vision based of autonomous guided vehicle by Nurul Atiqah Syazwani, Kamarudin

“…The algorithm is developed not only to detect and recognize but also to distinguish landmark from non-landmark. …”
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Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

“…It is a method of extracting second-order statistical texture features to detect diseases more efficiently. Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

“…This tool can be used to ease the process of developing a new March test algorithm for NPSF.…”
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Augmenting the Robustness and Efficiency of Violence Detection Systems for Surveillance and Non-Surveillance Scenarios by MUHAMMAD, SHOAIB, ASAD, ULLAH, Irshad, Ahmed Abbasi, Fahad, Algarni, Adnan Shahid, Khan

“…The keyframes selection process is critical in violence detection systems, as it reduces computational complexity and enhances accuracy. …”
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Development of cellular neural network algorithm for detecting lung cancer symptoms by Azian Azamimi, Abdullah, Hasdiana, Mohamaddiah

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Road triangle detection for non-road area elimination using lane detection and image multiplication by Aminuddin, Nur Shazwani, Mat Ibrahim, Masrullizam, Mohd Ali, Nursabillilah, Ahmad Radzi, Syafeeza, Darsono, Abd Majid, Wong, Yan Chiew

“…The background has become the key issue in maintaining the accuracy of final analysis for object detection in the development of an image processing algorithm. …”
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Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm by Khalifa, Othman Omran, Wajdi, Muhammad H., Saeed, Rashid A., Hassan Abdalla Hashim, Aisha, Ahmed, Muhammed Z., Ali, Elmustafa Sayed

“…Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection, incident detection, and vehicle speed estimation. …”
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A comprehensive comparative experiment of edge detection for OMR by Sahri, Zahriah, Othman, Zuraini, Kasmin, Fauziah, Basiron, Halizah

“…This study compares different established edge detection algorithms to detect edges of interest in OMR answer sheets such as bubbles or rectangles containing the bubbles. …”
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Embedded vision system development using 32-bit Single Board Computer and GNU/Linux by Nur Farhan, Kahar

“…The stationary vehicle detection process is executed on the embedded vision system to evaluate the accuracy of detection made by the system. …”
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Efficient 3D stereo vision stabilization for multi-camera viewpoints by Bhuiyan, Sharif Shah Newaj, Khalifa, Othman Omran

“…In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. …”
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K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm by Al-Hafiz, Ali Raheem, Jabir, Adnan J., Subramaniam, Shamala

“…In the first phase, the best set of features is identified by the Genetic algorithm and is utilised by the K-means clustering algorithm to divide the dataset into groups with similar traits. …”
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A modified watershed segmentation algorithm for automated lung cancer lesion detection in CT scan images / Nur Najihah Sofia Mohd Marzuki by Mohd Marzuki, Nur Najihah Sofia

“…The performance of the segmentation process in conventional and modified watershed segmentation technique for detecting lung lesion, which produce average F-Score is 97.80% and 99.09%, respectively. …”
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Evaluation of the Transfer Learning Models in Wafer Defects Classification by Jessnor Arif, Mat Jizat, Anwar, P. P. Abdul Majeed, Ahmad Fakhri, Ab. Nasir, Zahari, Taha, Yuen, Edmund, Lim, Shi Xuen

“…In a semiconductor industry, wafer defect detection has becoming ubiquitous. Various machine learning algorithms had been adopted to be the “brain” behind the machine for reliable, fast defect detection. …”
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Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems by Shengwen, Geng, Osman, Mohd Hafeez

“…Sensor failure, environmental changes, or bad weather can lead to the emergence of abnormal data, which can affect the decision-making process and may have disastrous consequences. Based on the above problems, this study addresses this challenge by proposing a hybrid anomaly detection model (called CAE-RF) that combines convolutional autoencoders and random forest algorithms to achieve efficient and accurate identification of abnormal data patterns to improve the safety of autonomous driving systems. …”
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