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A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…The third algorithm, named as Pro-Active Intelligence algorithm has inspired autonomous action triggering for each event interoperation, using a control action statement that is generated by SOAP packets required for joint execution of tasks among heterogeneous subsystems. …”
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Genetic algorithm application for traffic light control
Published 2023“…In this paper, we describe the design of an intelligent traffic light control based on genetic algorithm. …”
Conference paper -
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Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
Published 2023“…The system would adopt the advantage of Genetic Algorithm to optimize its performance in terms of motion control and accuracy. …”
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi
Published 2017“…Since KNN is the simplest form of artificial intelligence, future work could combine this algorithm with other classification algorithm. …”
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Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
Published 2019“…This thesis presents a practical and reliable approach for the prediction of PV power output using an intelligent-based technique namely Cuckoo Search Algorithm - Least Square Support Vector Machine (CS-LSSVM). …”
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Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system
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Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure
Published 2023“…Investigation of results indicates that both evolutionary algorithms provide lower MSE than RLS. It is demonstrated that intelligence algorithms, PSO and CS outperformed the conventional algorithm by 85% and 89%, respectively. …”
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Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure
Published 2023“…Investigation of results indicates that both evolutionary algorithms provide lower MSE than RLS. It is demonstrated that intelligence algorithms, PSO and CS outperformed the conventional algorithm by 85% and 89%, respectively. …”
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11
Tracking using normalized cross correlation and color space
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Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam
Published 2017“…All these algorithms are tested using thousands of images. The hybrid color segmentation algorithm has eventually been chosen for this proposed system as it shows the best performance for detection of road signs. …”
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13
Intelligent control of grain drying process using fuzzy logic controller.
Published 2010“…Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. …”
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Dynamic traffic light flow control system using on-road sensor technology / Mohamed Irfan
Published 2017“…In this research, a system is proposed that utilizes and manages traffic light controllers; more specifically an algorithm is presented which dynamically changes the traffic control system based on the vehicular flow data generated by on-road sensor technology. …”
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Thesis -
15
Adaptive and optimized radio resource allocation algorithms for OFDMA based networks
Published 2015“…This thesis proposes a threshold based resource allocation that helps to schedule and grant resources intelligently to solve the problem alluded to above resulting in better overall system performance, enhancing the network experience for the users. …”
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16
Intelligent control of grain drying process using fuzzy logic controller
Published 2010“…Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. …”
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Artificial intelligence-driven vehicle fault diagnosis to revolutionize automotive maintenance: A review
Published 2024“…We focus on reviewing relevant literature in the field of machine learning as well as deep learning algorithms for fault diagnosis in engines, lifting systems (suspensions and tires), gearboxes, and brakes, among other vehicular subsystems. …”
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Effect of fuzzy resource allocation method on AIRS classifier accuracy
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