Multi-region infectious disease prediction modeling based on spatio-temporal graph neural network and the dynamic model. by Xiaoyi Wang, Zhen Jin

“…Human mobility between different regions is a major factor in large-scale outbreaks of infectious diseases. Deep learning models incorporating infectious disease transmission dynamics for predicting the spread of multi-regional outbreaks due to human mobility have become a hot research topic. …”
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Modeling the Liquid-Phase Adsorption of Cephalexin onto Coated Iron Nanoparticles Using Response Surface and Molecular Modeling by Shabnam Ahmadi, Soumya Ghosh, Alhadji Malloum, Charné Bornman, Christian Osagie, Leili Mohammadi, Chinenye Adaobi Igwegbe

“…In addition, the data was used to test and fit an artificial neural network (ANN) model. Molecular-level DFT calculations on the CEX molecule were carried out. …”
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Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari

“…The capability of the extreme learning machine (ELM) model in modeling stochastic, nonlinear, and complex hydrological engineering problems has been proven remarkably. …”
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Study of Modelling of Regional Water Resources Rational Allocation in South China Leapfrog Economic Development and Model Application by LI Xing-pin, HE Xin-chun, WANG Lin

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Retracted: A Talent Training Model for Electrical Courses considering Diverse Constraint Models and Knowledge Recognition Algorithms by Advances in Multimedia

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Cutting Edge PBPK Models and Analyses: Providing the Basis for Future Modeling Efforts and Bridges to Emerging Toxicology Paradigms by Jane C. Caldwell, Marina V. Evans, Kannan Krishnan

“…Physiologically based Pharmacokinetic (PBPK) models are used for predictions of internal or target dose from environmental and pharmacologic chemical exposures. …”
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Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model by Daniele Da Re, Giovanni Marini, Carmelo Bonannella, Fabrizio Laurini, Mattia Manica, Nikoleta Anicic, Alessandro Albieri, Paola Angelini, Daniele Arnoldi, Federica Bertola, Beniamino Caputo, Claudio De Liberato, Alessandra della Torre, Eleonora Flacio, Alessandra Franceschini, Francesco Gradoni, Përparim Kadriaj, Valeria Lencioni, Irene Del Lesto, Francesco La Russa, Riccardo Paolo Lia, Fabrizio Montarsi, Domenico Otranto, Gregory L’Ambert, Annapaola Rizzoli, Pasquale Rombolà, Federico Romiti, Gionata Stancher, Alessandra Torina, Enkelejda Velo, Chiara Virgillito, Fabiana Zandonai, Roberto Rosà

“…Abstract Various modelling techniques are available to understand the temporal and spatial variations of the phenology of species. …”
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A note on the non-planar corrections for the Page curve in the PSSY model via the IOP matrix model correspondence by Norihiro Iizuka, Mitsuhiro Nishida

“…Abstract We develop a correspondence between the PSSY model and the IOP matrix model by comparing their Schwinger-Dyson equations, Feynman diagrams, and parameters. …”
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THE ROLE OF UNIVERSITY IN THE DEVELOPMENT OF REGIONAL INTERACTIONS SYSTEM: FROM UNIVERSAL SCIENTIFIC-EDUCATIONAL MODEL TO EXPERT-TECHNOLOGICAL MODEL by T. Grabelnykh, E. Lesnikovskaia

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Fault Diagnosis and Prediction of Continuous Industrial Processes Based on Hidden Markov Model-Bayesian Network Hybrid Model by Jiarula Yasenjiang, Chenxing Xu, Shengpeng Zhang, Xin Zhang

“…To alleviate this problem, a hidden Markov model-Bayesian network (HMM-BN) hybrid model is proposed to alleviate the local optimum problem in the EM algorithm and diagnose the fault root cause variable. …”
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Predicting water level fluctuations in glacier-fed lakes by ensembling individual models into a quad-meta model by Shoukat Ali Shah, Songtao Ai, Hanxiao Yuan

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Modeling sub-exponential epidemic growth dynamics through unobserved individual heterogeneity: a frailty model approach by Ping Yan, Gerardo Chowell

Subjects: “…epidemic modeling…”
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Advanced Modeling of Circular Waveguide-Based Devices With Smooth Profiles Using Transformation Optics and Hierarchical Model Reduction by Giacomo Giannetti, Stefano Selleri, Gian Guido Gentili, Gines Garcia-Contreras, Juan Corcoles, Jorge A. Ruiz-Cruz

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VVC coded distortion prediction model based on frame-level transform coefficient modeling of generalized Gaussian distribution by Yiyin GU, Hongkui WANG, Haibin YIN

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Four Generations of ECMWF Reanalyses: An Overview of the Successes in Modeling Precipitation and Remaining Challenges for Freshwater Budget of Ocean Models by Raphael Dussin

“…However, uncertainties remain about the magnitude and trends of the modeled evaporation.…”
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Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models by Haruki Ochiai, Hiromasa Kaneko

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A Hybrid Model for Psoriasis Subtype Classification: Integrating Multi Transfer Learning and Hard Voting Ensemble Models by İsmail Anıl Avcı, Merve Zirekgür, Barış Karakaya, Betül Demir

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EOQ Model versus (Q,r) Model: Case Study of a Company's Inventory in Londrina, Paraná, Brazil by Cainan Kobo Oliveira, Paulo Laerte Natti, Erica Regina Takano Natti, Eliandro Rodrigues Cirilo, Neyva Maria Lopes Romeiro

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A new preprocedural predictive risk model for post-endoscopic retrograde cholangiopancreatography pancreatitis: The SuPER model by Mitsuru Sugimoto, Tadayuki Takagi, Tomohiro Suzuki, Hiroshi Shimizu, Goro Shibukawa, Yuki Nakajima, Yutaro Takeda, Yuki Noguchi, Reiko Kobayashi, Hidemichi Imamura, Hiroyuki Asama, Naoki Konno, Yuichi Waragai, Hidenobu Akatsuka, Rei Suzuki, Takuto Hikichi, Hiromasa Ohira

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HighDimMixedModels.jl: Robust high-dimensional mixed-effects models across omics data. by Evan Gorstein, Rosa Aghdam, Claudia Solís-Lemus

“…High-dimensional mixed-effects models are an increasingly important form of regression in which the number of covariates rivals or exceeds the number of samples, which are collected in groups or clusters. …”
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