Deep Learning Models for Image Classification Advances in Convolutional Neural Network Architectures by Kumar Pathak Prakash, M Srivani, M Diwakaran, R Purushothaman, Sheeba Adlin, R Ahila

“…Deep learning has improved image classification tasks dramatically, where Convolutional Neural Networks (CNNs) have prevailed as the most successful architecture. …”
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TRANSITION TO THE MOBILIZATION MODEL OF MONETARY AND FINANCIAL REGULATION IN RUSSIA IN THE CONTEXT OF GLOBAL RISKS by A. V. Navoy

“…In the context of increased geopolitical risks, the systemic problems of existing model of integration of Russia into the international division of labor and cross-border capital fl ws dramatically aggravated. …”
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Investigation of Production and Price Relationship in Cow Milk Production by Koyck Model Approach by Damla Özsayın

“…The production of cow milk was considered as dependent variable and the price series consisting of cow milk prices and lagged price series are considered as explanatory variable in the model. According to the results of Koyck model, it was determined that the production of cow milk was affected by the prices of maximum one year retrospectively and the time required to dramatically affect to production of cow milk of the change taken place in prices of cow milk was 2.9 years. …”
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Experimental 70% Hepatectomy Model: Apoptotic Index, Proliferative Index and Mitotic Index by Latife Ceyda İrkin, Şamil Öztürk

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Evaluating Veal Consumption Hedonism of Consumers by Mediating Effect Model with Risk Factor by Yavuz Topcu

“…In recent years, climate change and Covid-19 pandemic have dramatically caused some attitude variation on consumers’ food consumption preferences. …”
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Nutrient deficiency detection and classification in coffee leaves using deep learning models by Randive Lalita, Sapkal Shubhangi, Bornare Deepak

“…Strong overall performance using the YOLO11s model is demonstrated by the mean average precision at 0.5 and mean average precision from 0.5:0.95 measures, which also rise dramatically, reaching values over 90% and 77%, respectively. …”
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Null states and time evolution in a toy model of black hole dynamics by Xi Dong, Maciej Kolanowski, Xiaoyi Liu, Donald Marolf, Zhencheng Wang

“…However, by forcing a simple topological gravity model to evolve in time, we find that such effects can also have large impact for N ≪ e S (in which case no quantum extremal surfaces can arise). …”
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Charging-Related State Prediction for Electric Vehicles Using the Deep Learning Model by De Zhao, Hua Wang, Zhiyuan Liu

“…Experiment results show that (i) the proposed method could achieve an average accuracy of 77.15% with a 1-hour prediction length and it outperforms the baseline models for all tested prediction lengths; (ii) it is also revealed that the prediction accuracy varies dramatically with different states and time periods. …”
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Changes in interstitial cells and gastric excitability in a mouse model of sleeve gastrectomy. by Suk Bae Moon, Sung Jin Hwang, Sal Baker, Minkyung Kim, Kent Sasse, Sang Don Koh, Kenton M Sanders, Sean M Ward

“…In the present study we used a murine model to investigate the chronological changes of gastric excitability including electrophysiological, molecular and morphological changes in the gastric musculature following VSG. …”
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A Multi‐Resolution Deep‐Learning Surrogate Framework for Global Hydrological Models by B. Droppers, M. F. P. Bierkens, N. Wanders

“…Although efforts are continuously being made to improve water resource assessments, global hydrological model computational demands have dramatically increased and calibrating them has proven difficult. …”
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Edge computing-based ensemble learning model for health care decision systems by Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan

“…Also, the CDSS is compatible with an EC model, which enables real-time computation while minimizing the requirement for integrated systems. …”
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Field inversion and machine learning based on the Rubber–Band Spalart–Allmaras Model by Chenyu Wu, Yufei Zhang

“…In this paper, we propose a new constraint for the RBSA model, which better safeguards the law of wall in extreme conditions where the model parameter is adjusted dramatically. …”
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A Unified Multiple Transport Mechanism Model for Gas through Shale Pores by Fanhui Zeng, Yu Zhang, Jianchun Guo, Wenxi Ren, Tao Zhang, Qifeng Jiang, Jianhua Xiang

“…Unlike the earlier models, the presented models consider the absorption, stress dependence, real gas, and water storage effects on gas transport comprehensively for the entire flow regime. …”
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Representing lateral groundwater flow from land to river in Earth system models by C. Liao, L. R. Leung, Y. Fang, T. Tesfa, R. Negron-Juarez

“…Simulations for a single grid cell at <span class="inline-formula">0.5<i>°</i>×0.5<i>°</i></span> within the Amazon basin show that the definition of hillslope is the key to modeling lateral flow processes and the runoff partition between surface and subsurface can be dramatically changed using the hillslope approach. …”
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Modeling the series of military actions to plan an attack mission of a swarm drones by Oleg Fedorovich, Dmytro Krytskyi, Oleksii Hubka, Andrei Popov

“…The subjects of this research are models used to plan attacking military operations using attack drones. …”
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Integrated assessment of land use and carbon storage changes in the Tulufan-Hami Basin under the background of urbanization and climate change by Meiling Huang, Yusuyunjiang Mamitimin, Abudukeyimu Abulizi, Rebiya Yimaer, Bahejiayinaer Tiemuerbieke, Han Chen, Tongtong Tao, Yunfei Ma

“…The SD-FLUS and InVEST models were employed to simulate land use patterns and assess CS under three scenarios (SSP126-EP, SSP245-ND and SSP585-ED). …”
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Artistic functions of Models of Manipulative Speech Interaction in Dialogues of Heroes by F.M. Dostoevsky by Ya. G. Bazhenova

“…The models of manipulative communication in the dialogues of the characters of F. …”
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…These can be mitigated by employing surrogate modeling methods, especially to expedite design workflows like local/global optimization or uncertainty quantification. …”
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Comprehensive assessment and analysis of urban resilience based on fusion modeling–taking guilin as an example by Liduo Dou, Lanwei Zhu, Yuxin He, Meiqing Wu, Yifei Guo

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Advantages and Challenges of Using Phosphonate-Based Fungicides in Agriculture: Experimental Analysis and Model Development by Anh Nguyen

“…Despite this, the developed mathematical model demonstrated strong explanatory power, accurately capturing the observed data trends. …”
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