Search Results - (( based identification task algorithm ) OR ( using optimization based algorithm ))
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Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution
Published 2014“…However, going by a first principle approach based on physical laws governing the dynamics of the system, this task is noted to be highly challenging due to the complex nonlinear characteristics of the helicopter system.On the other hand, the problem of determining network architecture for optimal/sub-optimal performances has been one of the major challenges in the use of the non parametric approach based on Nonlinear AutoRegressive with eXogenous inputs Network(NARX-network). …”
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Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat
Published 2019“…Our results from the conducted experiments revealed that the proposed algorithm outperform the state-of-the-art aspect extraction algorithms and optimization algorithms. …”
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Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…The Gradient-Based Cuckoo Search (GBCS) algorithm was used to achieve the final objective. …”
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Author Identification : Performance Comparison using English and Under-Resourced Languages
Published 2020“…The approach used in AI task is based on supervised machine learning. …”
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Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
Published 2025“…Key contributions include a comparative analysis of evolutionary, swarm intelligence, physics-based, human-inspired algorithms, and hybrid approaches benchmarked on classification datasets. …”
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. …”
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Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data
Published 2019“…The availability of high-resolution laser scanning data and advanced machine learning algorithms has enabled an accurate potential rockfall source identification. …”
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Scalability and performance in duplicate detection : relational vs. graph database
Published 2023“…As a result, they may not be effective in identifying and resolving duplicate data in certain use cases. Graph-based algorithms such as community detection, may prove beneficial as it can capture a more complex relationships between data. …”
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Automated threshold detection for object segmentation in colour image
Published 2016“…Most common solution of the task is the uses of threshold strategy based on trial and error method. …”
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Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee
Published 2024“…The article that related to this study were identified and described based on the chosen algorithm, objectives, problems, and the significance. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023text::Thesis -
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Development of biosignals-based multimodal biometric system
Published 2014“…Through the performance analysis of the three biometric systems and their combination using two multimodal biometric score level fusion, this thesis finds the optimal combination of those systems. …”
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Development of reliability-centered maintenance model using linguistic failure mode and effect analysis
Published 2019“…Then, a co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm was applied to handle multi-objective optimization problems and to find the solution sets. …”
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Research and development in agricultural robotics: a perspective of digital farming
Published 2018“…Object identification,task planning algorithms, digitalization and optimization of sensors are highlighted as some of the facing challenges in the context of digital farming. …”
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Biometric identification and recognition for iris using failure rejection rate (FRR) / Musab A. M. Ali
Published 2016“…Iris recognition is reckoned as one of the most reliable biometrics for identification purpose in terms of reliability and accuracy. …”
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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