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941
Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
Published 2021“…The proposed system comprises self-healable materials and memtransistors as enabling technologies for the implementation of neuromorphic nociceptors, spiking local associative learning and communication. …”
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Journal Article -
942
Salt to Scale: The Seasoning of Buildings
Published 2024“…Nevertheless, aspiring to mine, build, maintain, and preserve, humanity remains in constant search of other more durable materials designed with the presumption to last forever. …”
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Thesis -
943
Geometric latent dirichlet allocation on a matching graph for large-scale image datasets
Published 2010“…This matching graph connects images that contain the same object, and rough image groups can be mined from this graph using standard clustering techniques. …”
Journal article -
944
Characterization of hippocampal CA1 place cells.
Published 2013“…Most of the neurons had stable firing across sessions recorded in both familiar and novel environments, while some showing selective discharged of spikes in either one of the environments tested. The data recorded had provided spatial-temporal pattern for study of neuronal activities of physiologically identified place cells residing in the hippocampal CA1 pyramidal layer.…”
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Final Year Project (FYP) -
945
AI assists in design of corrosion-resistant alloys
Published 2023“…To address this challenge, researchers have turned to text mining and autonomous data extraction from literature sources. …”
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Article -
946
Can topology predict a financial crisis?
Published 2019“…Information provided by the barcode are then fed into Data Mining models to make prediction of the market. The results of this study suggests that topological features of stock data are highly correlated to financial markets and could be used to predict financial crisis. …”
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Final Year Project (FYP) -
947
Portfolio optimization with percentage error-based fuzzy random data for industrial production
Published 2024“…The efficacy of this approach is demonstrated in agricultural planning, evaluating five distinct industrial production types: Agriculture, Mining, Manufacturing, Electricity, and Water. The findings underscore the effectiveness of the proposed methodology in managing uncertainties, reducing errors in model development stages, and providing a robust framework for optimal portfolio selection tailored to industrial production contexts, thereby enhancing decision-making processes in uncertain environments.…”
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Conference or Workshop Item -
948
Progressive collapse of reinforced concrete building structures
Published 2013“…The associated rotationally-restrained but laterally-unrestrained boundary condition of the test specimens was effected by a set of pinned-end supporting columns. Uniformly distributed loads were simulated by a twelve-point loading system. …”
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Thesis -
949
Disturbance detection in the MV and the LV distribution networks using time-domain method
Published 2014“…These are typically reflected in the time-domain as spikes in the square wave, without requiring any frequency analysis. …”
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Conference Paper -
950
Application of FTIR spectroscopy in determining sesamol in sesame seed oil
Published 2003“…A new analytical method was developed for determining sesamol in sesame seed oil by FTIR spectroscopy. Sesamol was also spiked at 0 to 1000 mg/kg in freshly refined, bleached, and deodorized palm olein (RBDPOo) and groundnut (peanut) oil. …”
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Article -
951
Language and ‘postcolonial shame': the politics of policy, curriculum and classroom practices in urban India
Published 2024“…The chapters explore ‘hidden agendas’ (Shohamy 2005) in policy, ‘hidden curriculum’ (Jackson 1968; Apple 2009) practices and, in some cases, ‘erased curriculum’ (term mine) to study language socialisation in the classroom and language attitudes of shame and pride amongst students.…”
Thesis -
952
Quantum computing and quantum neural networks: their foundation, optimisation, and application
Published 2024“…We explore the application of quantum computers by constructing a quantum algorithm to solve a real-world problem in the mining industry. We provide a mapping for this problem onto a quantum circuit and run simulator and hardware experiments to find solutions to small-scale instances of the problem, which is the first attempt to apply such quantum algorithms to this mining problem. …”
Thesis -
953
Stability of peptide nucleic acid influenced by peptoid-like sidechains : MD simulation study.
Published 2010“…Solvent accessible surface of the modified base-pair experienced spikes in values during the 40ns simulations and solvation shells of the base-pair situated close to APS were disrupted up to 33%. …”
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Final Year Project (FYP) -
954
Calibrating DFT Formation Enthalpy Calculations by Multifidelity Machine Learning
Published 2024“…The multifidelity model is also used as a data-mining approach to find how DFT deviates from experiments by explaining the model output.…”
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Article -
955
Machine learning for money laundering detection
Published 2020“…With the development of technology, machine learning and data mining techniques have been adopted in the anti-money laundering system. …”
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Final Year Project (FYP) -
956
Development of interactive software (shear force and bending moment)
Published 2022“…The software’s capability includes the usage of pins, rollers, fixed supports, point loads, moments / torques and distributed loads. …”
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Final Year Project (FYP) -
957
Comparative study of composite scarf and strap joints for equivalent repair signature under uniaxial tension
Published 2022“…Herein, different repair designs based on 8.6° scarf, thin CFRP strap (0.5 mm and 1.1 mm), 0.5 mm thin Ti-6Al-4V straps (with and without pins) are used in bonding CFRP composites, their repair strength is measured through tensile testing. …”
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Journal Article -
958
Study on the regulation of focal adesions and cortical actin by matrix nanotopography in 3D environment
Published 2020“…After culturing rat embryonic fibroblast cells in two kinds of scaffold, one with smooth surface and the other with numerous nano-spikes, we observed that cells in the smooth scaffold have more anchoring sites and more focal adhesions than in the etched scaffold. …”
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Journal Article -
959
Lead federated neuromorphic learning for wireless edge artificial intelligence
Published 2023“…This paper proposes a lead federated neuromorphic learning (LFNL) technique, which is a decentralized energy-efficient brain-inspired computing method based on spiking neural networks. The proposed technique will enable edge devices to exploit brain-like biophysiological structure to collaboratively train a global model while helping preserve privacy. …”
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Journal Article -
960
A bi-functional three-terminal memristor applicable as an artificial synapse and neuron
Published 2024“…Due to their significant resemblance to the biological brain, spiking neural networks (SNNs) show promise in handling spatiotemporal information with high time and energy efficiency. …”
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Journal Article