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Methods that improve high frequency Single Flux Quantum electronics design
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Development of new methods for nonintrusive induction motor energy efficiency estimation
Published 2020“…The method uses a modified inverse Г-model equivalent circuit with series core loss arrangement to mitigate the inherent problems of higher computational burden and parameter redundancy associated with the conventional equivalent circuit method. …”
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Online public access catalogue [OPAC] in Nigerian libraries: a case study of the Kenneth Dike Library and university of lagos library
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Evaluation of factors militating against quality assessment in Oyo State, Nigeria
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SdrLift: A Domain-Specific Intermediate Hardware Synthesis Framework for Prototyping Software-Defined Radios
Published 2021“…In order to alleviate these problems, Domain-Specific Languages (DSL) have been introduced to capture algorithms at a high level of abstraction with more expressive power and providing domain-specific optimizations that factor in new transformations and the trade-off between resource utilization and system performance. …”
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Non-Timber Forest Products in Phytomedicine and Culinary Uses
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Statistical priority-based uplink scheduling for M2M communications
Published 2015“…These challenges include medium access control and the allocation of radio resources among MTCDs. The problem of radio resources allocation, or scheduling, originates from the nature of M2M traffic. …”
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Few-shot Learning for Joint Classification of Instrument, Pitch, and Playing Technique of Tones Produced by Bowed String Instruments
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Cloning of a novel Bacillus pumilus cellobiose-utilising system : functional expression in Escherichia coli
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Introduction to fast Super-Paramagnetic Clustering
Published 2020“…We use insights arising from this to discuss the implications of using a Maximum Entropy Principle (MEP) as opposed to the Maximum Likelihood Principle (MLP) as an optimization device for this class of problems.…”
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Exploring the relationship between multimodal magnetic resonance neuroimaging and cognitive outcomes in children: applying machine learning algorithms to brain MRI features to pred...
Published 2025“…PLMs, SVMs/SVR, and DTEs performed poorly for the regression problem; the predic-tive models led to small training and fitting errors but high generalised CV errors. …”
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Game theory-based power flow management in a peer-to-peer energy sharing network
Published 2021Get full text
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