Search Results - (( pattern detection utilizing algorithm ) OR ( based optimization _ algorithm ))
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1
Toward heterogeneous computing to facilitate sequential OLAP real-time applications
Published 2016“…The optimized algorithm is dedicated to detect patterns over parallel data streams in Real-Time. …”
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Proceeding Paper -
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IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management
Published 2025“…Advanced data preprocessing, such as augmentation and normalization, ensures robust model training, while optimized algorithms guide waste sorting based on classification results. …”
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Smart waste management system with IoT monitoring
Published 2023“…Through advanced data analytics and machine learning algorithms, the platform predicts waste accumulation patterns, optimizes collection routes, schedules pickups based on fill-level data, and detects any abnormal conditions. …”
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Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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Thesis -
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Configuration and analysis of piezoelectric-based in socket sensory system for transfemoral prosthetic Gait detection / Farahiyah Jasni
Published 2018“…The finalized configuration that resulted in the best response was adopted and used to collect data for training and classifying the gait phase using pattern recognition method. The performance of the proposed sensory system was evaluated by checking the accuracy of the pattern recognition algorithm in detecting the gait phases at different speeds of normal walking. …”
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IoT based drainage monitoring system
Published 2023“…This real-time data is wirelessly transmitted to a central monitoring system, where it is analysed using advanced algorithms. The system enables early detection of blockages and abnormal patterns, triggering immediate alerts for timely intervention. …”
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Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column
Published 2003“…Through the proposed algorithm, various faults could be simulated and detected using the system. …”
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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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10
Circular discontinuities detection in welded joints using Circular Hough Transform
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Concrete surface inspection by using unmanned aerial vehicle (UAV) and deep learning algorithms YOLOv7 / Saffa Nasuha Rusdinadi
Published 2024“…This research aims to improve the detection and analysis of cracks on concrete surfaces by utilizing UAVs and yolo algorithms. …”
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Student Project -
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Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu
Published 2018“…This dissertation has focused on Lyapunov model predictive control (L-MPC) methods, in which Lyapunov control law is employed in the cost function to minimize the error between the desired control variables and the actual control variables of a three-phase four-leg inverter to optimize closed-loop system performance. The proposed control algorithm takes advantage of a predefined Lyapunov control law which minimizes the required calculation time by the Lyapunov model equations just once in each control loop to predict future variables. …”
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EEG-based fatigue detection using binary pattern analysis and KNN algorithm
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Proceeding Paper -
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Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
Published 2022“…This problem occurs due to lacking of existing system in detecting children image in a car. Therefore, this study aims to detect the existence of "in-car-abandoned children" using deep learning algorithm. …”
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15
Detection of energy theft and defective smart meters in smart grids using linear regression
Published 2017“…In this paper, we design two linear regression-based algorithms to study consumers’ energy utilization behavior and evaluate their anomaly coefficients so as to combat energy theft caused by meter tampering and detect defective smart meters. …”
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Optimizing the performance of mobile malware detection using the indexing rule
Published 2024journal::journal article -
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Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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