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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment
Published 2023“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
Published 2025“…Additionally, we propose a novel loss function based on Variational Inference and the Evidence Lower Bound (ELBO) to improve uncertainty quantification and prediction accuracy. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting
Published 2025“…Neural networks help address this issue by extracting meaningful patterns from past observations to improve wave height predictions. This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. …”
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
Published 2024“…To mitigate this issue, we introduce a prediction-based approach that optimizes the migration process by dynamically halting the iteration phase when the predicted downtime falls below a predefined threshold. …”
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Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset
Published 2021“…This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. Our strategy may significantly accelerate the large-scale deployment of photocatalysts as a promising route to mitigate fomite transmission of pathogens (bacteria, viruses, fungi) in hospital settings and public places.…”
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The significance of general skills training for early career graduates: relationships with perceived organizational support, job satisfaction and turnover intention
Published 2023“…This study also found significant evidence for serial mediation by POS on PGST and its relationship with turnover intention. …”
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning
Published 2025“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”
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Evolutionary algorithm for protein structure prediction
Published 2010“…The protein structure prediction problem has real-world significance where several diseases are associated with the wrong folding of proteins. …”
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Model predictive control of shell benchmark process
Published 2003“…MPC technology has penetrated a significant portion of the process industries and harvested large economical benefits. …”
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Predicting stability of classes in an object-oriented system
Published 2010“…Nonetheless, it can be predicted based on other measurable software attributes such as cohesion, coupling, and complexity. …”
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Effect of clinical hyperthyroidism and hypothyroidism on patent diabetes. 59 cases
Published 1983“…Fifty-nine patients with both clinical evidence of thyroid dysfunction and patent diabetes mellitus were investigated in our diabetology department. …”
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