Application research on classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO algorithm by Yongjian Dong

“…Through comparative experiments, the GNN-PSO model's classification accuracy reached 92.5 %, 15.3 percentage points higher than that of the traditional machine learning model. …”
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A Nonstandard Neutrosophic α-Discounting Evaluation Model for Teaching Ability Assessment of Vocational Colleges Teachers by Song Gu

“…This research presents a new method that combines the Interval α-Discounting approach with the Nonstandard Neutrosophic Complex MoBiNad framework. The model allows expert judgments to include uncertainty and partial truth, then adjusts them using mathematical discounting to reach a stable solution. …”
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Research and application of optimization of physical education training model based on multi-objective differential evolutionary algorithm by Man Wu

“…The specific conclusions are as follows: (1) MODE algorithm is better to other algorithms in convergence speed and accuracy; MODE algorithm can not only reach the optimal particle position quickly, but also fluctuate around the best point.(2) AMODE-MPS has great potential for dealing with complex and multiple objectives.(3) There are significant differences between the prediction performance of the proposed algorithm model and the statistical performance, in which the statistical performance is significantly higher than the predicted performance.(4) The proposed model can basically meet the prediction requirements. …”
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Study on urban ground collapse induced by defective pipelines based on physical model experiments and numerical simulation by Jixiang Guo, Yanjun Zhang, Yuxiang Cheng, Xin Zhang, Haoxin Shi, Jianqiao Zheng, Yongjie Ma

“…A large-scale physical modeling experiment was carried out and a coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) numerical model was proposed. …”
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Investigating the Behavioral Adaptation Model of Tourism Business Owners in Kermanshah Province facing COVID-19 Outbreak by Ehsan Khosravi, Nader Naderi, Bijan Rezaei, Hossein Azadi

“…The current study aims to investigate the behavioral adaptation model of tourism business owners in Kermanshah Province facing COVID-19 crisis. …”
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Implementation of the STEM-GeoGebra Integrated PjBL Model to Improve Student’s Critical Thinking Skills by Nurusy Syahrotir Rohmah, Wahyuni Suryaningtyas, Iis Holisin

“…This study aims to describe students' critical thinking skills after implementing the STEM-GeoGebra integrated PjBL model and to find out students' responses. Students' critical thinking skills in learning mathematics are still low, as evidenced by the learning outcomes of students who have not yet reached the KKTP. …”
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Understanding and applying of physical education teachers regarding the project based learning model and 4C skills by Ahadi Priyohutomo, Komarudin Komarudin, Sridadi Sridadi

“…In the context of basketball, 57.2% of teachers have not implemented PjBL, and 51.5% have not integrated 4C skills in the learning process. Discussion: although most physical education teachers understand the project-based learning (PjBL) model and 4C skills, their implementation is still limited. …”
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Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm by Ruisheng Jiao, Haibin Wang, Juan Luo

“…After using the improved dense trajectory algorithm, the fitness of the health training assistant robot reached 96.25 % under the same processing time, which is 8.93 % higher than the traditional model's fitness of 87.32 %. …”
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New Insights into Meteorological and Hydrological Drought Modeling: A Comparative Analysis of Parametric and Non-Parametric Distributions by Ahmad Abu Arra, Eyüp Şişman

“…Accurate drought monitoring depends on selecting an appropriate cumulative distribution function (CDF) to model the original data, resulting in the standardized drought indices. …”
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Automatic Generation of High-Resolution Thermal 3D Building Envelope Models exploiting UAV Imagery by E. Ferrari, J. Meyer, A. Koch, S. Nebiker

“…With this approach, the geometric accuracy of the resulting point cloud reached an RMSE of 0.13 m. Finally, thermal calibration values collected on site were applied to correct the thermal images, improving temperature value accuracy for 3D model texturing with a temperature deviation of 2.8 °C. …”
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Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

“…To further refine this model, classification is adeptly handled by a process inspired by the LeNet architecture, significantly improving identification against various diseases. …”
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Evaluation of an acne lesion detection and severity grading model for Chinese population in online and offline healthcare scenarios by Na Gao, Jiaping Wang, Zheng Zhao, Xiao Chu, Bin Lv, Gangwen Han, Yuan Ni, Guotong Xie

“…Although some artificial intelligence methods have been developed to automate the process of acne severity grading, the diversity of acne image capture sources and the various application scenarios can affect their performance. …”
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Telugu language hate speech detection using deep learning transformer models: Corpus generation and evaluation by Namit Khanduja, Nishant Kumar, Arun Chauhan

“…The fine-tuned mBERT model outperformed all other fine-tuned models achieving an accuracy of 98.2. …”
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A learning health system model for addressing substance use: Denver Health Center for Addiction Medicine by Emily Bacon, Laura J. Podewils, Brooke Bender, Joshua Blum, Christian Thurstone, Alia Al‐Tayyib, John Mills, Alexandra R. Tillman, Judith Shlay

“…Results CAM successfully implemented processes for gathering and assessing evidence, informing clinical practice, fostering community partnerships, and strategically expanding services and reach. …”
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A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

“…Ear recognition and detection is a commonly used method in the yield prediction process for rice and wheat crops. In current agricultural technology research, rice and wheat ear are typically treated and modeled separately to improve detection accuracy. …”
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Physicomathematical modeling of the formation features of fillet welds of bridge metal structures under submerged-arc welding by A. A. Mosin, V. A. Erofeev, M. A. Sholokhov

“…With their help, a physicomathematical model of fillet weld formation under the submerged-arc welding has been developed. …”
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Machine learning-enhanced fully coupled fluid–solid interaction models for proppant dynamics in hydraulic fractures by Dennis Delali Kwesi Wayo, Sonny Irawan, Lei Wang, Leonardo Goliatt

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Morphogenesis of the tumor patterns by Elena Izquierdo-Kulich, José Manuel Nieto-Villar

“…A stochastic model, basedon the most important processes that take place at the level of individual cells,is proposed to predict the dynamical behavior of the expected radius of thetumor and its fractal dimension. …”
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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…This will not only enhance the prediction accuracy but also retain modality-specific unique aspects, thus going beyond traditional models. We will go one step beyond this by using a Genetic Algorithm in combination with the Neuro-evolution of Augmenting Topologies for optimization not only for neural network architecture and hyperparameters but also for going into the process. …”
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MODEL OF GEOMEDIA CONTAINING DEFECTS: COLLECTIVE EFFECTS OF DEFECTS EVOLUTION DURING FORMATION OF POTENTIAL EARTHQUAKE FOCI by I. A. Panteleev, O. A. Plekhov, O. B. Naimark

“…At the scale of observation, this process is manifested as brittle fracturing that causes formation of a deformation zone, which size is proportional to the scale of observation, and corresponds to occurrence of a strong earthquake.On the basis of the proposed model showing the behavior of the geomedium containing defects in the field of external stresses, it is possible to describe main ways of stress relaxation in the rock massives – brittle large-scale destruction and cataclastic deformation as consequences of the collective behavior of defects, which is determined by the structural scaling parameter.Results of this study may prove useful for estimation of critical stresses and assessment of the geomedium status in seismically active regions and be viewed as model representations of the physical hypothesis about the uniform nature of deve­lopment of discontinuities/defects in a wide range of spatial scales.…”
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