Search Results - (( developing state detection algorithm ) OR ( java application learning algorithm ))
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Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition
Published 2017“…The performance of the drowsiness signs detection algorithm is fully dependent on the performance of the eye state detection and the mouth state detection. …”
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Focal and non-focal epilepsy localization: a review
Published 2018“…This study reviews many recently-proposed algorithms for detecting the focal epileptic seizures. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.]
Published 2021“…Thus, this research is proposed to develop a system to detect and alert drowsy driver by using Viola-Jones algorithm. …”
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Shot boundary detection based on orthogonal polynomial
Published 2019“…Finally, the support vector machine is utilized to detect hard transitions. In addition, a comparison between the proposed algorithm and other state-of-the-art algorithms is performed to reinforce the capability of the proposed work. …”
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Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…The existing infeasible path detection methods are restricted to extended finite state machine (EFSM) models with integer data type only. …”
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…One YOLOv8 based model was developed for detecting and segmenting ginger plants in various growth states. …”
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Final Year Project / Dissertation / Thesis -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Feature selection in intrusion detection, state of the art: A review
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Software User Interface and Algorithm Development for Signal and Noise Characterization
Published 2015“…The data from photodiode is read by LabVIEW software for further develop to obtain useful output data. The previous task done by senior is I/V converter and algorithm for detect location of photodiode are implement by using LM741 op-amp chip on printed circuit board. …”
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…One YOLOv8 based model was developed for detecting and segmenting ginger plants in various growth states. …”
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Secured Autonomous Agent-Based Intrusion Detection System (SAAIDS)
Published 2024thesis::master thesis -
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Development of obstable avoidance system for 3D robot navigation
Published 2024“…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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An optimized test case generation technique for enhancing state-sensitivity partitioning
Published 2017“…Afterwards, a prioritization algorithm used for sorting the test cases so the first test case detects the highest number of mutants followed by the cases that kill its live mutants. …”
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Classification and detection of intelligent house resident activities using multiagent
Published 2013“…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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