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462
A fuzzy basis function network for generator excitation control
Published 1997“…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on generator loading conditions. The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
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463
Adaptive PID Controller for a Non Linear Pendulum System Using Recurrent Neural Networks
Published 2005Get full text
doctoralThesis -
464
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465
A multi-pretraining U-Net architecture for semantic segmentation
Published 2025“…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …”
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466
A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems
Published 1998“…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
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467
Automation of the Arabic sign language recognition
Published 2004“…This paper introduces a system to recognize the Arabic sign language using an instrumented glove and a machine learning method. Interfaces in sign language systems can be categorized as direct-device or vision-based. …”
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468
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Recovery of business intelligence systems
Published 2018“…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
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470
An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services
Published 2018“…After that, the Natural Language Processing (NLP) tasks are used to process the services’ profiles and extract the ontological keywords. …”
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471
A novel few shot learning derived architecture for long-term HbA1c prediction
Published 2024“…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …”
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472
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …”
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473
Predicting stability of classes in an object-oriented system
Published 2010“…We compare our results to the machine learning algorithm C4.5, and we show that our approach out-beats it.…”
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474
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
Published 2020Get full text
doctoralThesis -
475
Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization
Published 2019Get full text
doctoralThesis -
476
Optimizing ADWIN for Steady Streams
Published 2022“…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. …”
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477
Computer-aided detection of Melanoma using geometric features
Published 2017“…The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. …”
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conferenceObject -
478
Modeling and Control of Nonlinear Systems Using Wavelet Networks
Published 2006Get full text
doctoralThesis -
479
Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
Published 2023“…As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. …”
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480
Evacuation of a highly congested urban city
Published 2017“…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …”
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