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sspinae » spinae (Expand Search), sspingae (Expand Search), ssspinae (Expand Search)
fine » find (Expand Search), line (Expand Search), five (Expand Search)
suspine » supine (Expand Search), suspinge (Expand Search), susspine (Expand Search)
ling » long (Expand Search), line (Expand Search), link (Expand Search)
sping » spin (Expand Search), shing (Expand Search), swing (Expand Search), spingg (Expand Search), ssping (Expand Search)
pin » ping (Expand Search), spin (Expand Search)
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Reactive : a mobile application to provide a personalized approach in the gym
Published 2018Get full text
Final Year Project (FYP) -
871
Efficient learning enabled by technologies
Published 2018“…This can be done by utilizing the Facial Action Coding System (FACS) which is a coding manual that describes the fine-grained movements of human faces as facial action units (AUs). …”
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Final Year Project (FYP) -
872
A study of evaluative resources in communication between related parties of the Enron fraud.
Published 2010Get full text
Final Year Project (FYP) -
873
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874
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875
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876
Self-Supervised Learning across the Spectrum
Published 2024“…(b) Satellite imagery is geo-registered, allowing for fine-grained spatial alignment. We use these insights to formulate pretraining tasks in S4. …”
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Article -
877
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878
Dedicated carbon scaffolds for next generation hydrogenation chemistry and H2 evolution
Published 2016“…<p>This Thesis is primarily concerned with developing sustainable and cost-efficient methods for applications of hydrogen (H<sub>2</sub>-driven fine chemical synthesis) and production of hydrogen (hydrogen evolution reaction, HER). …”
Thesis -
879
Stroke incidence in heart failure and atrial fibrillation: population cohort study
Published 2025“…We report hazard ratios for first stroke using Cox and Fine and Gray models.</p> <br> <p><strong>Results:</strong> Over median follow-up of 6.62 years, 93,665 people (3.9%) had a first stroke and 314,042 (13.2%) died. …”
Journal article -
880
Leveraging transfer learning for spatio-temporal human activity recognition from video sequences
Published 2023“…It uses two-stream ConvNet to extract spatial and temporal information and proposes a fine-tuned deep neural network. Moreover, the transfer learning paradigm is adopted to extract varied and fixed frames while reusing object identification information. …”
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Article