Enhancing paddy leaf disease diagnosis -a hybrid CNN model using simulated thermal imaging by Jagamohan Padhi, Kunal Mishra, Ashoka Kumar Ratha, Santi Kumari Behera, Prabira Kumar Sethy, Aziz Nanthaamornphong

“…This study introduces a novel hybrid Deep Learning approach integrating thermal imaging and model hybridization for early and precise detection of rice leaf diseases. …”
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Neural and Hybrid Modeling: An Alternative Route to Efficiently Predict the Behavior of Biotechnological Processes Aimed at Biofuels Obtainment by Stefano Curcio, Alessandra Saraceno, Vincenza Calabrò, Gabriele Iorio

“…In particular, the enzymatic transesterification of waste-oil glycerides, the key step for the obtainment of biodiesel, and the anaerobic digestion of agroindustry wastes to produce biogas were modeled. It was proved that the proposed modeling approaches provided very accurate predictions of systems behavior. …”
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Modeling of the Complex Modulus of Asphalt Mastic with Biochar Filler Based on the Homogenization and Random Aggregate Distribution Methods by Yushuai Wu, Peng Cao, Feiting Shi, Ketong Liu, Xuhao Wang, Zhen Leng, Zhifei Tan, Changjun Zhou

“…To consider this factor into the micromechanical model, a modified generalized self-consistent model (MGSCM) with a coating layer was proposed. …”
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Retracted: Development Model of China’s Regional Economic Cooperation Based on Network Analysis and Multimedia Data Visualization by Advances in Multimedia

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Physics-Based Modeling and Experimental Study of Si-Doped InAs/GaAs Quantum Dot Solar Cells by A. P. Cédola, D. Kim, A. Tibaldi, M. Tang, A. Khalili, J. Wu, H. Liu, F. Cappelluti

“…Numerical simulations are built on a hybrid approach that includes the quantum features of the charge transfer processes between the nanostructured material and the bulk host material in a classical transport model of the macroscopic continuum. This allows gaining a detailed understanding of the several physical mechanisms affecting the photovoltaic conversion efficiency and provides a quantitatively accurate picture of real devices at a reasonable computational cost. …”
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Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model by Meng Shi

“…In order to improve the personalized recommendation effect of online shopping products, this article combines online fast learning through latent factor model to construct a personalized virtual planning recommendation system for online shopping products. …”
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Immune cell profiles and predictive modeling in osteoporotic vertebral fractures using XGBoost machine learning algorithms by Yi-Chou Chen, Hui-Chen Su, Shih-Ming Huang, Ching-Hsiao Yu, Jen-Huei Chang, Yi-Lin Chiu

“…The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. …”
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Explaining the model of value creation of tax income and gross domestic product based on tax system reforms by Bahram Ramazani, Mojtaba Malekichoobari, Sina Kheradyar

“…Conclusion The current research was conducted with the aim of explaining the model of value creation from tax revenue and gross domestic product based on tax system reforms. …”
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Reduced-Order Modeling of Cavity Flow Oscillations across Multi-Mach Numbers Using Deep Learning by Zhe Liu, Fangli Ning, Hui Ding, Qingbo Zhai, Juan Wei

“…The reduced-order model can accurately and efficiently predict unsteady problems in many aerospace engineering applications. …”
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T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm Criterion by Yanhui Li, Xiujie Zhou

“…This paper investigates the Hankel norm filter design problem for stochastic time-delay systems, which are represented by Takagi-Sugeno (T-S) fuzzy model. Motivated by the parallel distributed compensation (PDC) technique, a novel filtering error system is established. …”
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Periodization in Anterior Cruciate Ligament Rehabilitation: New Framework Versus Old Model? A Clinical Commentary by Georgios Kakavas, Florian Forelli, Nikolaos Malliaropoulos, Timothy E Hewett, Panagiotis Tsaklis

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A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction by Jiangeng Li, Xingyang Shao, Rihui Sun

“…In the model, DBN is used to learn feature representations. …”
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Exacerbation of Glycoprotein VI-Dependent Platelet Responses in a Rhesus Monkey Model of Type 1 Diabetes by J. F. Arthur, Y. Shen, Y. Chen, J. Qiao, R. Ni, Y. Lu, R. K. Andrews, E. E. Gardiner, J. Cheng

“…In this study, we used a nonhuman primate model of Type 1 diabetes to measure early downstream signalling events following engagement of the major platelet collagen receptor, glycoprotein (GP)VI. …”
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Potential Distribution of Chagas Disease Vectors (Hemiptera, Reduviidae, Triatominae) in Colombia, Based on Ecological Niche Modeling by Gabriel Parra-Henao, Laura C. Suárez-Escudero, Sebastián González-Caro

“…Ecological niche modeling of Triatominae bugs allow us to establish the local risk of transmission of the parasite Trypanosoma cruzi, which causes Chagas disease. …”
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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

“…Main outcome measures: Reproducibility of TRT measurements, image quality, and the degree of agreement between the two OCT models. Results: Both the Old and New OCT models demonstrated high reproducibility (APPC: 0.995-0.998). …”
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Entrepreneurship Education and Other Exogenous Variables in the Theory of Planned Behavior Model: A Systematic Literature Review by Rustiana

“… Introduction/Main Objectives: The aim of the study is to: 1) identify the role entrepreneurship education (EE) in the theory of planned behavior (TPB) model, and how it enhances students’ entrepreneurship intention (EI), 2) identify various other exogenous variables commonly paired with EE that increase EI, 3) map the various roles of EE and the exogenous variables in improving students’ EI into a single model. …”
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Designing a Policy-Making Model for Biomass Energy Development Training in the Agricultural Supply Chain Sector by Tahereh Pourelmi, Seyed Mohammad Shobeiri, Enayatollah Yazdanpanah, Gholam Reza Bakhshi Khaniki, Mahdieh Rezaei

“…This basic-applied and hybrid survey aimed to design and validate a policy-making model for biomass energy development training in the agricultural supply chain sector. …”
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Assessment of hypoxia status in a rat chronic liver disease model using IVIM and T1 mapping by Wenlu Dong, Longyang Xiao, Ziwei Luo, Haiyang Yu, Lili Wang, Yuanxiang Gao, Zhiming Li

“…ObjectivesThis study was aimed to assess the diagnostic performance of intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) and T1 mapping in detecting hypoxia status of chronic liver disease using a carbon tetrachloride (CCl4)-induced rat model.Materials and methodsThe hypoxia group of chronic liver disease consisted of eight rats induced by injection of CCl4 and the control group consisted of nine rats injected with pure olive oil. …”
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Finite Element Model Updating of Steel Arch Bridge Based on First-Order Mode Test Data by Shuai Luo, Yingming Zhang, Jibao Shen, Zhike Li

“…In order to obtain an accurate finite element model of a steel arch bridge, a first-order modal finite element model updating method is proposed by using the measured first-order modal data of the bridge. …”
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NUMERICAL MODELING OF STRESSES NEAR THE SURFACE IN THE INGOT OF CIRCULAR SECTION, CRYSTALLIZABLE AT CIRCULAR TORCH SECONDARY COOLING by A. N. Chichko, N. V. Andrianov, A. V. Demin, D. M. Kukuj, V. F. Sobolev, Ju. V. Jatskevich, O. I. Chichko

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