Search Results - (( developing interactive detection algorithm ) OR ( based application testing algorithm ))

On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

“…Combinatorial interaction testing is a practical approach aims to detect defects due to unwanted and faulty interactions. …”
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Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing by S. Ahmed, Bestoun

“…Many AI-based strategies have been developed, such as Ant Colony, Simulated Annealing, Genetic Algorithm, and Tabu Search. …”
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Pairwise Test Suite Generation Based on Hybrid Artificial Bee Colony Algorithm by Alazzawi, A.K., Rais, H.M., Basri, S., Alsariera, Y.A.

“…Pairwise testing is one of the efficient CTT that used widely for fault detection based on the caused failures by two interactions parameters. …”
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A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation by Abdullah, Nasser, Hujainah, Fadhl, Alsewari, Abdulrahman A., Kamal Z., Zamli

“…In the last 20 years, many useful t-way strategies (where t indicates the interaction strength) have been developed to help generate test suite for detecting fault due to interaction of inputs. …”
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Development Of Algorithms For Vehicle Classification And Speed Estimation From Dynamic Scenes By On-Board Camera Using Image Processing Techniques by Aminuddin, Nur Shazwani

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Real-time interactive spatial augmented reality (RISAR) platform by Chan, Aye Zay Hta

“…Therefore, this research project aims to design and develop a tracker-based SAR platform to resolve the aforementioned challenges. …”
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Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

“…The known drawback of the watershed algorithm, over-segmentation, is strongly reduced by making the system interactive (semi-automatic), by placing markers manually in the region of interest which is the brain as well as in the background. …”
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Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis by Ahmad Izzuddin, Tarmizi, Mat Safri, Norlaili, Othman, Mohd Afzan

“…In the field of human-computer interaction, the detection, extraction and classification of the electroencephalogram (EEG) spectral and spatial features are crucial towards developing a practical and robust non-invasive EEG-based brain-computer interface. …”
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Neural network classifier for hand motion detection from EMG signal by Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…Additionally, electromyography (EMG) signals can also be applied in the field of human computer interaction (HCI) system. This paper represents the detection of different predefined hand motions (left, right, up and down) using artificial neural network (ANN). …”
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Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration by Althuwaynee, Omar F., Pradhan, Biswajeet, Ahmad, Noordin

“…This article uses methodology based on chi-squared automatic interaction detection (CHAID), as a multivariate method that has an automatic classification capacity to analyse large numbers of landslide conditioning factors. …”
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Multi-array sensorised pillowcase as call detection alarm system for in ward tetraplegic patient / Normazlianita Mohamad Alias by Normazlianita, Mohamad Alias

“…This problem has motivated the development of a fabric-based multi-array pressure sensor as a call bell garment that works by detecting the pressure pattern on a pillow surface where the patient is lying down. …”
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A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity by Khameneh, Azadeh Zahedi, Ghaznavi, Mehrdad, Kilicman, Adem, Mahad, Zahari, Mardani, Abbas

“…In clustering techniques, finding the similarity or distance between objects, handled by metrics in Rn, plays a central role in community detection. Under this framework, different algorithms have been developed where the output relies on an exact distance calculated based on the objects’ features. …”
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Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj by Othman, Ahmad Al Baqir, Ahmad, Salmiah, Badron, Khairayu, Altalmas, Tareq M. K.

“…Results shows that the algorithm was able to detect the letters produced at throat area, which are also known as Izhar Halqi letters. …”
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Assistive technology : Sign language translation application for hearing-impaired communication / Muhammad Amin Naim Ab Karim by Ab Karim, Muhammad Amin Naim

“…A user acceptance testing based on Technology Acceptance Model (TAM) was conducted with 30 participants of normal people from age 18 – 40 years old to see the acceptance of the application. …”
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Evaluation of Security Metric for Artificial Internet of Things Smart Locking System by Siti Nur Hanani, Mohd Rizal

“…Throughout this process, all developed sub-hardware components are design to interact seamlessly between one another, ensuring a functional and secure flow within the AIoT framework.…”
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Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

“…So, Self-Adaptive SFM is developed in order to estimate a good quality of interaction forces since it is crucial to achieve better abnormal detection, which represents the behavior of the crowd. …”
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Implementing a t-way test generation strategy using bees algorithm by Zabil M.H.M., Zamli K.Z.

“…This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength). © SCRG Publication, 2013.…”

Implementing a T-Way Test Generation Strategy Using Bees Algorithm by Mohd Hazli, Mohamed Zabil, Kamal Z., Zamli

“…This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength). …”
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Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin by Husam , N. S. Yasin

“…Hence, it proposes a Q-Learning-based test coverage approach developed in DroidbotX to generate GUI test cases for Android apps. …”
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Sequence-based interaction testing implementation using Bees Algorithm by Mohd Hazli M.Z., Kamal Z. Z., Rozmie R. O.

“…T-way strategies is used to generate test data to detect faults due to interaction. In the literature, there are many t-way strategies developed by researchers for the past 10 years. …”