Search Results - (( developer rejection learning algorithm ) OR ( java implication based algorithm ))
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Design and development of latex mark visual detection system
Published 2025“…The vital parts in developing a highly efficient latex former defect detection model include designing a mechanical frame structure and developing and evaluating a deep learning model. …”
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A novel softsign fractional-order controller optimized by an intelligent nature-inspired algorithm for magnetic levitation control
Published 2025“…The performance of the proposed approach was extensively benchmarked against four modern metaheuristic algorithms (greater cane rat algorithm, catch fish optimization algorithm, RIME algorithm and artificial hummingbird algorithm) under identical conditions. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification
Published 2017“…A spatial filtering algorithm called Common Spatial Pattern (CSP) was developed and known to have excellent performance, especially in motor imagery for BCI application. …”
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A platform to develop a secure instant messaging using jabber protocol
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PID controller for idle speed control
Published 2013“…There are three methods of PID tuning applied: heuristic tuning, self-tuning by pole placement, and also iterative learning algorithm (ILA). Prior to that, data collection is gained from four cylinder sparkignition engine modeling and used as the input-output data in the system identification part. …”
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Proceeding Paper -
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An interpretable fuzzy-ensemble method for classification and data analysis / Adel Lahsasna
Published 2016“…In addition, we propose a combination method that aims to improve the accuracy of the fuzzy rule-based system by using the accurate ensemble method to classify the patterns that have low certainty degree or in cases of rejected and uncovered classifications. iv The proposed method is tested using six data sets from the UCI machine learning repository, and the obtained results are compared with other benchmark methods. …”
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