Search Results - (( data implication sensor algorithm ) OR ( parallel classification modeling algorithm ))
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Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living
Published 2024“…At last, tuning of parameters related to parallel BiGRU model performed by AOA. An wide set of tests carried out to illustrate better performance of AOADL-TC model. …”
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…Therefore generating a good decision model or classification model is a major component in many data mining researches. …”
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3
EMG motion pattern classification through design and optimization of neural network
Published 2012“…The ANN models work in parallel thus providing higher computational performance than traditional classifiers which function sequentially. …”
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Proceeding Paper -
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EMG motion pattern classification through design and optimization of Neural Network
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Working Paper -
5
Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
Published 2019“…The approach was tested on the KDD Cup99 intrusion detection dataset and the results proved the proposed PSO-RKFLN as an accurate, reliable, and effective classification algorithm.…”
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6
Random sampling method of large-scale graph data classification
Published 2024“…Finally, we classified the graphs of data blocks using the SVM algorithm. In experimental evaluation, our proposed method outperformed state-of-the-art graph kernels on graph classification datasets in terms of accuracy.…”
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Hybrid harmony search-artificial intelligence models in credit scoring
Published 2019“…With the parallelization of MHS hybrid models, the computational time is effectively reduced, with RF hybrid models faster than SVM hybrid models. …”
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9
Evaluation of a spacecraft attitude and rate estimation algorithm
Published 2010“…Design/methodology/approach: The algorithm requires only geomagnetic field data and can be used as a low‐cost alternative or as a back‐up estimator in the case of attitude sensor failures. …”
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10
On line fault detection for transmission line using power system stabilizer signals
Published 2007“…Hence, this study will show that not only the PSS able to compensate the damping due to the disturbance but also by using the developed algorithm it succeeds to detect and classify the fault conditions on the parallel transmission lines.…”
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11
Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin
Published 2023“…These devices collect and transmit data to a centralised cloud-based platform. Advanced data analytics and machine learning algorithms process this data, enabling the system to detect potential safety hazards, monitor construction progress, and predict resource requirements. …”
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12
Smart Glove for Sign Language Translation
Published 2023“…The Smart Glove utilizes only one sensor, flex sensors, to capture hand movements and gestures. …”
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Application of Artificial Intelligence In Smart City
Published 2021“…Meanwhile, a smart city is a city concept, which is integrated with several intelligent technologies such as Big Data, sensors, and 5G connectivity. This study aims to study the effects of the implementation of AI in the smart city. …”
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Final Year Project / Dissertation / Thesis -
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A conceptual anonymity model to ensure privacy for sensitive network data
Published 2021“…Researchers have identified the privacy implications of large data collections and contributed to the preservation of data from unauthorised exposure to solve the challenge of information privacy. …”
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15
Development of gesture-controlled robotic arm for upper limb hemiplegia therapy
Published 2022“…In conclusion, these findings have significant implications for the understanding of hand recognition application towards robotic-based upper limb assistive and rehabilitation procedures.…”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…Secondly, four different testing scenarios are chosen to acquire pedestrian walking data using the gyroscope sensor, where the essential features were extracted and selected. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…Secondly, four different testing scenarios are chosen to acquire pedestrian walking data using the gyroscope sensor, where the essential features were extracted and selected. …”
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Thesis
