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2821
AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach
Published 2023-12-01“…Methods This study proposes a semantic ontology model to annotate the AI predictions, forecasting outcomes, and personal preferences to conceptualize a personalized recommendation generation model with a hybrid approach. This study considers a mixed activity projection method that takes individual activity insights from the univariate time-series prediction and ensemble multi-class classification approaches. …”
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2822
Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal-Based Model to Airborne Ima...
Published 2024-01-01“…Furthermore, the generated models were re-calibrated using soil spectra and then transferred to an airborne dataset collected using a CASI-SASI hyperspectral sensor, allowing the estimation of wheat traits across the entire field. …”
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2823
Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: application to North American waterfowl
Published 2022-05-01“…Conclusions Automated pipelines generated models producing highly accurate classifications of complex daily activity patterns using relatively low frequency GPS and incorporating more classes than previous GPS studies. …”
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2824
Generation of synthetic tympanic membrane images: Development, human validation, and clinical implications of synthetic data
Published 2023-02-01“…Our study represents one of the first generative models for synthetic image data within our field of Otolaryngology–Head and Neck Surgery. …”
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2825
Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking
Published 2016-08-01“…AChE inhibitors were described by a set of 12 fingerprint descriptors and predictive models were constructed from 100 different data splits using random forest. Generated models afforded R2, ${Q}_{\mathrm{CV }}^{2}$ Q CV 2 and ${Q}_{\mathrm{Ext}}^{2}$ Q Ext 2 values in ranges of 0.66–0.93, 0.55–0.79 and 0.56–0.81 for the training set, 10-fold cross-validated set and external set, respectively. …”
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2826
A New Integrated Approach for Landslide Data Balancing and Spatial Prediction Based on Generative Adversarial Networks (GAN)
Published 2021-10-01“…Future studies could explore other generative models for landslide data balancing. By using state-of-the-art GAN, the proposed model can be considered in the areas where the data are limited or imbalanced.…”
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2827
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2828
Image Compression using Sum-Product Networks
Published 2023“…In this thesis, we develop a new separation architecture based on recently proposed sum-product networks (SPNs), a class of tractable probabilistic generative models, to model the source distribution. Our architecture strikes a balance between efficient learning of source structure and fast lossless decoding. …”
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Thesis -
2829
A Model Guided Approach to Evoke Homogeneous Behavior During Temporal Reward and Loss Discounting
Published 2022-06-01“…We further compare and evaluate common models in the field through out-of-sample prediction error estimates, to iteratively improve the trial-generating model and paradigm.ResultsThe developed paradigm successfully increases discounting behavior during both reward and loss discounting. …”
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2830
Herniated Lumbar Disc Generation and Classification Using Cycle Generative Adversarial Networks on Axial View MRI
Published 2021-04-01“…Moreover, their efficiency to synthesize images and data at unprecedented levels of realism also gives hope that the chronic scarcity of labeled data in the medical field can be resolved with the help of these generative models. In our case, having a database that contains several images is a very difficult task. …”
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2831
Extending Multi-Beam Sonar with Structure from Motion Data of Shorelines for Complete Pool Bathymetry of Reservoirs
Published 2020-12-01“…The models generated by both approaches are point clouds, which consist of points representing the ground surface in three-dimensional space. Generating models from sUAV-captured images requires ground control points (GCPs), i.e., points with a known location, to anchor model creation. …”
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2832
Key problems on hydro-engineering-environmental geology along the Sichuan-Tibet Railway corridor: Current status and development direction
Published 2021-09-01“…In terms of hydrogeology, such as 1) sequence law of plateau karst development and types of tectonic karst water storage structures, 2) disaster-generating models and prediction methods of water and mud bursts in deep-buried tunnels, 3) active fault control mechanisms and geothermal water circulation models, 4) identification of high-temperature heat hazard risk and geothermal resources utilization technology. …”
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2833
From Forest Dynamics to Wetland Siltation in Mountainous Landscapes: A RS-Based Framework for Enhancing Erosion Control
Published 2022-04-01“…We applied this forest gain to a scenario generator model to derive a 30-year future LULC map that defines the potential forest extent for the study area in 2049. …”
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2834
Models predict change in plasma triglyceride concentrations and long-chain n-3 polyunsaturated fatty acid proportions in healthy participants after fish oil intervention
Published 2022-10-01“…A secondary goal was to establish if clustering of data prior to FO supplementation would lead to identification of groups of participants who responded differentially.MethodsTo generate models for the outcomes of interest, variable selection methods (forward and backward stepwise selection, LASSO and the Boruta algorithm) were applied to identify suitable predictors. …”
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2835
Understanding social influence using network analysis and machine learning
Published 2013Get full text
Thesis -
2836
Gasification of microalgae Chlorella vulgaris for synthesis gas production
Published 2015“…Statistical analysis showed that the generated models were sufficiently in agreement with the experimental results. …”
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Thesis -
2837
Production of natural vanillin from cymbopogon citratus using phanerochaete chrysosporium
Published 2018“…The maximum vanillin production was observed with media composition of 1.0 g/L ferulic acid from hydrolysate of C. citratus leaves, 4.43 g/L ammonium chloride (inorganic nitrogen), 0.25 g/L yeast extract (organic nitrogen), 0.2 g/L KH2PO4, 0.013 g/L CaCl22.H2O, 0.5 g/L MgSO4.7H2O and 0.0025 g/L thiamin hydrochloride, at 36.3 °C and pH 6.84 under shaking condition at 150 rpm with inoculum size of 7 % (w/v). The generated model fitted well to the data set with R2 of 0.9059. …”
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Thesis -
2838
Modeling and Simulation of Physical Systems Formed by Bond Graphs and Multibond Graphs
Published 2023-12-01“…Finally, a synchronous generator modeled by (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>B</mi><mi>G</mi></mrow></semantics></math></inline-formula>-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>B</mi><mi>G</mi></mrow></semantics></math></inline-formula>) as a case study is developed, and simulation results using 20-Sim software are shown. …”
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2839
Molecular Docking Simulation Studies Identifies Potential Natural Product Derived-Antiwolbachial Compounds as Filaricides against Onchocerciasis
Published 2021-11-01“…The protein sequence of the WSP with UniProtKB identifier Q0RAI4 was used to model the three-dimensional (3D) structure via homology modelling techniques using three different structure-building algorithms implemented in Modeller, I-TASSER and Robetta. Out of the 15 generated models of WSP, one was selected as the most reasonable quality model which had 82, 15.5, 1.9 and 0.5% of the amino acid residues in the most favored regions, additionally allowed regions, generously allowed regions and disallowed regions, respectively, based on the Ramachandran plot. …”
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2840
Deciphering the Interactions of Bioactive Compounds in Selected Traditional Medicinal Plants against Alzheimer’s Diseases via Pharmacophore Modeling, Auto-QSAR, and Molecular Docki...
Published 2021-04-01“…Most notably, the compounds’ pIC<sub>50</sub> values were predicted by a machine learning-based model generated by the AutoQSAR algorithm. The generated model was validated to affirm its predictive model. …”
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