SWAT‐Based Hydrological Data Assimilation System (SWAT‐HDAS): Description and Case Application to River Basin‐Scale Hydrological Predictions by Ying Zhang, Jinliang Hou, Juan Gu, Chunlin Huang, Xin Li

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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…The introduction of the scope loss function strategically manages the trade-off between exploiting known data and exploring new patterns, thereby maintaining a healthy balance between accuracy and generalizability. …”
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Machine learning-driven multi-targeted drug discovery in colon cancer using biomarker signatures by Tingting Liu, Lifan Zhong, Xizhe Sun, Zhijiang He, Witiao Lv, Liyun Deng, Yanfei Chen

“…The ABF-CatBoost integration facilitates a multi-targeted therapeutic approach, addressing drug resistance by analyzing mutation patterns, adaptive resistance mechanisms, and conserved binding sites. …”
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Investigation of the ecology of winter plankton of Lake Baikal using complex instrumental methods by E. Yu. Naumova, T. P. Rzhepka, M. M. Makarov, A. S. Olshukov, K. M. Kucher, M. Z. Magomedova, E. S. Troitskaya

“…The obtained field data will make it possible to further improve the pattern recognition algorithm in the software of the holographic installation for the specific conditions of Lake Baikal. …”
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Rock blasting evaluation - image recognition method based on deep learning by Haibao YI, Aixiang Wu, Xiliang Zhang

“…Based on the recognition outcomes of mineral rock block size images, the “S” shaped cumulative distribution pattern of block size was discovered, and the Pearson curve function was fitted. …”
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High-resolution (10 m) dataset of multi-crop planting structure on the Loess Plateau during 2018–2022 by Xining Zhao, Jichao Wang, Yelu Ding, Xiaodong Gao, Changjian Li, Hongwei Huang, Xuerui Gao

“…The research methodology involved four key steps: (1) Enhancing the sample dataset using phenological indices and the Dynamic Time Warping (DTW) algorithm; (2) Identifying crop planting intensity based on phenological growth curves; (3) Developing independent random forest classifiers tailored to agricultural climate zones; and (4) Constructing an optimal feature subset for crop classification. …”
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Development of an Automated Management System for Agricultural Technologies in Horticulture by D. O. Khort, A. I. Kutyrev, I. G. Smirnov, I. V. Voronkov

“…The web application used the Model View Controller design pattern, and Bootstrap as the css framework. Data visualization from the database was carried out using cloud technology, placing the site using a set of Internet Information Services. …”
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Beyond human-in-the-loop: Sensemaking between artificial intelligence and human intelligence collaboration by Xinyue Hao, Emrah Demir, Daniel Eyers

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A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

“…We take the spread trajectories of infectious diseases as our research subject, due to their characteristic spatiotemporal patterns, and employ a space–time cube as the visualization tool. …”
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Clinical and Epidemiological Characteristics of Infections Associated with Surgery and Treatment of Oncological Diseases by G. G. Badamshina, V. B. Ziatdinov, L. M. Fatkhutdinova, G. M. Тrukhina, B. A. Bakirov, A. V. Tutelian, G. Sh. Isaeva

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Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management by T. V. Ramachandra, Paras Negi

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Myocarditis Detection Using Proximal Policy Optimization and Mutual Learning by Asadi Srinivasulu, Sivaram Rajeyyagari

“…This approach enhances the model's initial ability to recognize complex patterns in myocardial images, improving classification accuracy. …”
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Virtual test bench for computer-aided design of drum dryers based on kinetic laws of the drying process by V. V. Tkach, A. A. Shevtsov

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Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance by Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan

“…The research will also identify patterns and risk factor for the spread of AIDS that can be used to develop more effective health interventions. …”
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The role of vascularity and the fibrovascular interface in interstitial lung diseases by Jana Dietrich, Alice Kang, Birger Tielemans, Stijn E. Verleden, Hassan Khalil, Florian Länger, Philipp Bruners, Steven J. Mentzer, Tobias Welte, Michael Dreher, Danny D. Jonigk, Maximilian Ackermann

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Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations by Jie Yang, Fanyan Ou, Binbin Li, Lixiong Zeng, Qiuli Chen, Houyu Gan, Jianing Yu, Qian Guo, Jihua Feng, Jianfeng Zhang

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Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives by Sungwon Yoon, Rena Lau, Yu Heng Kwan, Huiyi Liu, Razeena Sahrin, Jie Kie Phang, Yichi Zhang, Nicholas Graves, Lian Leng Low

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Phase-dependent closed-loop deep brain stimulation of the fornix provides bidirectional manipulation of hippocampal theta oscillations by Isaac Grennan, Brook Perry, Anna Verghese, Melissa Jones, Oliver Härmson, Colin G. McNamara, Andrew Sharott

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Machine Learning-Enhanced Attribute-Based Authentication for Secure IoT Access Control by Jibran Saleem, Umar Raza, Mohammad Hammoudeh, William Holderbaum

“…Traditional authentication systems struggle to balance security, privacy and computational efficiency, particularly in resource-constrained environments such as Industry 4.0. This research presents the SmartIoT Hybrid Machine Learning (ML) Model, a novel integration of Attribute-Based Authentication and a lightweight machine learning algorithm designed to enhance security while minimising computational overhead. …”
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Graphlet decomposition dataset of Tallinn’s road network from January 2020 OpenStreetMap dataGithub by Mahdi Rasoulinezhad, Nasim Eslamirad, Jenni Partanen

“…The resulting dataset enables researchers to identify recurring patterns in urban street networks, study urban morphology, and compare structural similarities between different urban areas. …”
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