Spring phenology in photosynthesis control and modeling for a temperate bog by Hongxing He, Tim Moore, Peter Lafleur, Oliver Sonnentag, Elyn Humphreys, Mousong Wu, Nigel Roulet

“…Model simulations incorporating the new phenology subroutine for two vegetation layers (shrubs and mosses) show improved agreement with the daily EC-derived GPP. …”
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Using the SWAT model to characterise the water regime of soils in agrolandscapes by E. V. Shein, A. G. Bolotov, A. V. Dembovetskiy, D. Yu. Usenko, N. A. Kharkhardinov, Yu. I. Vernyuk

“…Some examples are given in the article, which demonstrate that modeled data correspond well with experimental data on soil moisture dynamics in several points of agrolandscape for 3 depth levels, reflecting surface, deep (at groundwater level) and middle layers of soil profile, i. e. 10–20, 50–60 and 90–100 cm. …”
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Interpretive structural modeling of the implementation of the comprehensive scientific map of Iran by Bahram Akbari, Abouzar Alidadi Talkhestani, Mohammad Reza Navab Esfahani, Meysam Alipour

“…The statistical population of the research includes experts and officials implementing the country's scientific map, from which a sample size of 20 people was purposefully selected, and their opinions were used in responding to the structural-interpretive equations.Findings: The final model has been developed in two layers and consists of 5 dimensions, including "human factors," "infrastructural factors," "management factors," "process factors," and "external factors." …”
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Research on the elastoplastic localized damage constitutive model of raw coal by Susheng WANG, Shengqi YANG, Qiang ZHANG, Zhennan ZHU

“…The growing need for energy and resources is driving the search and extraction of mineral resources from deeper earth layers, resulting in significant nonlinear mechanical responses in rock masses under high ground stress. …”
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Comparison of Recent Remote Sensing Data Using an Artificial Neural Network to Predict Soil Moisture by Focusing on Radiometric Indices by Miraç Kılıç, Recep Gündoğan

“…Remote sensing data is widely used as a common variable for digital soil mapping estimating models. The aim of this study, quite recently made available to researchers Operational Land Imager 2 (OLI–2) have structure Landsat 9 and Landsat 8 (OLI) and Sentinel 2A (MSI) to compare the performance of soil moisture estimation in multi-layer perceptron network (MLP) artificial intelligence algorithm of image data. …”
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Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data by Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera

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An Online Interactive Experiment Management System for CMA Numerical Weather Prediction Models by Wang Bin, Hu Jiangkai, Cui Yingjie, Zhou Bin, Sun Jing, Zhao Chunyan, Lou Panxing

“…The application layer offers management functions at the user application level for modeling experiments. …”
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DeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation by Elizar Elizar, Rusdha Muharar, Mohd Asyraf Zulkifley

“…By processing features at different spatial resolutions, the multiscale densely connected layer in the form of the Pyramid Pooling Dense Module (PPDM) helps the network to capture both local and global context, preserving finer details of the cardiac structure while also capturing the broader context required to accurately segment larger cardiac structures. …”
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Analysis of argument structure constructions in a deep recurrent language model by Pegah Ramezani, Pegah Ramezani, Achim Schilling, Achim Schilling, Patrick Krauss, Patrick Krauss

“…In future work, we plan to compare these model-derived representations with neuroimaging data from continuous speech perception, further bridging computational and biological perspectives on language processing.…”
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Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

“…The main goals of this research are to identify the significant input parameters using supervised machine learning methods and investigate the relationship between the process, structure, and properties of components created using fused deposition modeling utilizing nylon aramid composite filaments. …”
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Service model of smart tourism cities integrated with low-altitude technology by Luo Tian Yang

“…The model comprises the Core Technology Layer, Service Application Layer, and Governance and Collaboration Layer, each of which incorporates specific influencing factors, such as R&D investments, operational efficiency, and policy support. …”
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Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

“…The fused features, combined with those processed by the convolutional module, are fed into an attention layer. …”
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Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations. by J Galván Fraile, Franz Scherr, José J Ramasco, Anton Arkhipov, Wolfgang Maass, Claudio R Mirasso

“…In this study, our objective was to uncover the neural dynamics that govern V1 neurons' responses to visual flow perturbations using a biologically realistic computational model. By subjecting the model to sudden changes in visual input, we observed opposing cortical responses in excitatory layer 2/3 (L2/3) neurons, namely, depolarizing and hyperpolarizing responses. …”
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A Study on Systematic Improvement of Transformer Models for Object Pose Estimation by Jungwoo Lee, Jinho Suh

“…Transformer architecture, initially developed for natural language processing and time series analysis, has been successfully adapted to various generative models in several domains. …”
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Comportamiento parabólico del crecimiento de capas boradas en los aceros Y8A y X12M // Parabolic behavior of boriding layers growth in Y8A and X12M steels by C. Figueroa Hernández, E. Cañete Cisnero, M. Hurtado Ferrer

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Assessments and investigation of process parameter impacts on surface roughness, microstructure, tensile strength, and porosity of 3D printed polyetherether ketone (PEEK) materials by Shimelis Tamene Gobena, Abraham Debebe Woldeyohannes

“…AM techniques, such as fused deposition modeling (FDM), offer a solution by constructing objects layer by layer, minimizing waste. …”
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Seismic phase recognition model with low SNR based on U-net by Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li

“…In this model, Bi-GRU bidirectional gated recurrent unit and Attention attention mechanism are added between the U-net coding layer and the decoding layer. …”
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Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…To solve these problems, this work proposes an enhanced lightweight object detection model based on the YOLOv4 Tiny model. The proposed model incorporates multiple modifications, including integrating a Mix-efficient layer aggregation network within its backbone network to optimize efficiency by reducing parameter generation. …”
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A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques by Muhammad Sajid Iqbal, Muhammad Adnan, Salah Eldeen Gasim Mohamed, Muhammad Tariq

“…Subsequently, a hybrid deep learning model, comprising bidirectional long short-term memory (BiLSTM), bidirectional gated recurrent unit (BiGRU), and a fully connected layer is trained using the clean data. …”
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Model of property relations in the Soviet Lithuania village (Case of Stungiai village) by Žilvinas Kačiuška

“…The cultural and economical lag of Lithuania is often said to be caused by a mental gap, which was constructed by a model of collectivism and planned economy. Herewith, slowly changing categories in cognition impact reflections on market economy model and its mode of functioning.   …”
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