Enhancing agricultural research with an Attention-Based Hybrid Model for precise classification of rice varieties by Nuzhat Noor Islam Prova

“…This in fact effectively highlights and enhances spatially and channel-orientated features, allowing the model to tell apart morphologically similar types of rice with high accuracy. …”
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Path planning of intelligent tennis ball picking robot integrating twin network target tracking algorithm by Zegang Wang

“…This method provides an effective solution for target tracking and path planning of intelligent tennis ball picking robots in complex environments and has important practical application value.…”
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Production and educational value of anatomical megamoulages by Homayoon Bana Derakhshan, Hamed Shoorei, Gholamreza Hassanzadeh, Mohammad Reza Mansoorian, Jalil Moshari, Moosa Sajjadi, Mehrnaz Ghaffari, Sajed Khaledi, Jamal Majidpoor

“…To enhance the existing curriculum and improve students’ spatial understanding of anatomy, educators have explored the use of moulages. …”
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Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching by P. Bonnet, L. Pastori, M. Schwabe, M. Giorgetta, F. Iglesias-Suarez, V. Eyring, V. Eyring

“…This step also becomes more challenging with increasing spatial resolution and complexity of climate models. …”
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Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning by Manimaran Renganathan, Palani Thanaraj Krishnan, C. Christopher Columbus, T. Sunil Kumar

“…This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine learning techniques. …”
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Geospatial Robust Wheat Yield Prediction Using Machine Learning and Integrated Crop Growth Model and Time-Series Satellite Data by Rana Ahmad Faraz Ishaq, Guanhua Zhou, Guifei Jing, Syed Roshaan Ali Shah, Aamir Ali, Muhammad Imran, Hongzhi Jiang, Obaid-ur-Rehman

“…Accurate crop yield modeling (CYM) is inherently challenging due to the complex, nonlinear, and temporally dynamic interactions of biotic and abiotic factors. …”
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Multiscale excitations in the diluted two-dimensional S=1/2 Heisenberg antiferromagnet by Liuyun Dao, Hui Shao, Anders W. Sandvik

“…We study the excitation spectrum of the S=1/2 Heisenberg model on the randomly diluted square lattice by stochastic analytic continuation of imaginary-time correlations obtained by quantum Monte Carlo simulations in the low-temperature limit. …”
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Spatio-Temporal Habitat Dynamics of Migratory Small Yellow Croaker (<i>Larimichthys polyactis</i>) in Hangzhou Bay, China by Xiangyu Long, Dong Wang, Pengbo Song, Mengwen Han, Rijin Jiang, Yongdong Zhou

“…Our results showed that the random forest algorithm outperformed other models, with a high sensitivity (95.238) and specificity (99.49), demonstrating its ability to capture complex non-linear relationships between environmental factors and species distribution. …”
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GULP. II. Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 by Beena Meena, Elena Sabbi, Peter Zeidler, Bruce G. Elmegreen, Jan J. Eldridge, Varun Bajaj, Mario Gennaro, Anna Pasquali, Debra M. Elmegreen, Ralf S. Klessen, Linda J. Smith, Luciana Bianchi, Aida Wofford, Pietro Facchini, John S. Gallagher III, Daniela Calzetti, Eva K. Grebel, Angela Adamo, (GULP)

“…We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf starburst galaxy NGC 4449 using data from the GULP survey. By analyzing the spatial distribution of field stars younger than 100 Myr, we identify large-scale stellar complexes and substructures using HDBSCAN—a density-based clustering algorithm—and trace their evolution over time. …”
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Refining satellite laser altimetry geolocation through full-waveform radiative transfer modeling and matching by Ameni Mkaouar, David Shean, Tiangyang Yin, Christopher S.R. Neigh, Rodrigo Vieira Leite, Paul M. Montesano, Abdelaziz Kallel, Jean-Phillipe Gastellu-Etchegorry

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Phenomenological Analysis of Lived Experience of Cancer: A Case Study of Patients at Ayatollah Kashani Hospital in Shahrekord by Hedari Arman, Sayedeh Sapideh Hashemi

“…The discontinuity and unpredictability of time could be seen as the essence of the participants' lived experience. In terms of the spatial dimension, as cancer progressed, patients often perceived themselves as weak, helpless, unstable, and at risk of sudden death. …”
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Optimizing Traffic Speed Prediction Using a Multi-Objective Genetic Algorithm-Enhanced RNN for Intelligent Transportation Systems by C. Swetha Priya, F. Sagayaraj Francis

“…However, developing these models involves several challenges, including understanding spatiotemporal nonlinearities, making accurate predictions, minimizing prediction time, and reducing model complexity. Many existing approaches integrate Convolutional Neural Networks (CNNs) and variants of Recurrent Neural Networks (RNNs) to analyze spatially correlated traffic data over time. …”
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AbVLM-Q: intelligent quality assessment for abdominal ultrasound standard planes via vision-language modeling by Baohua Wang, Yaqian Wang, Yanhua Chu, Ke Zhang, Lei Liu, Kexin Zhang, Bowen Zhu, Dong Wang, Tianan Jiang

“…Abstract Background Abdominal ultrasound is non-invasive and efficient, yet acquiring standard planes remains challenging due to operator dependency and procedural complexity. We propose AbVLM-Q, a vision-language framework for automated quality assessment of abdominal ultrasound standard planes. …”
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