Multi-objective optimization of cushion gas design in underground gas storage using machine learning by Mohaddeseh Ahmadi Aghdam, Maryam Fazaeli, Mahdi Kanaani, Behnam Sedaee

“…Among them, the MLNN model, with three hidden layers, achieved the best performance (R² = 0.9886 for training and 0.9562 for testing), and reduced MAE by over 40 % compared to SVR. …”
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A dual attentional skip connection based Swin‐UNet for real‐time cloud segmentation by Fuhao Wei, Shaofan Wang, Yanfeng Sun, Baocai Yin

“…Those issues are circumvented by integrating U‐Net and the swin transformer together, with an efficiently designed dual attention mechanism based skip connection. …”
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ACM-YOLOv10: Research on Classroom Learning Behavior Recognition Algorithm Based on Improved YOLOv10 by Beichen Qin, Haoyan Hu, Shaowen Du

“…The model is designed with an Asymmetric Depthwise Separable Convolution (ADSConv) module to replace the traditional convolutional layers. This module, with its lightweight design, optimizes convolution operations to reduce computational complexity and parameter quantity, thereby accelerating the model’s inference speed. …”
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Comparison of Noise Reduction Algorithms for Optical Coherence Tomography Images of Skin Melanoma by O. O. Myakinin

“…Taking as the correct hypothesis that the border preservation is more important before an integral noise estimate, it is possible to make an unambiguous conclusion about the need to use the EMD filter. …”
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The problem of infinite plate loaded with normal force following a complex trajectory* by A. V. Galaburdin

“…The final decision is expressed in a convenient form – as the sum of curvilinear integrals. The results obtained can be used in the road design process. …”
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Bacteria enable tolerance to bile salt exposure in an immune-competent human intestinal model by Yuan Li, Chia-Ming Wang, Peng Zhao, Matthew T. Fernez, Rebecca L. Carrier

“…In this study, the impact of bile micelles on an in vitro intestinal model integrating commensal microbes with immune-competent human duodenal epithelium was studied. …”
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Sustainable Preservation of Historical Temples Through Ventilation Airflow Dynamics and Environmental Analysis Using Computational Fluid Dynamics by Mongkol Kaewbumrung, Chalermpol Plengsa-Ard, Wasan Palasai

“…Future work will explore further the interactions between wall moisture and the multi-layered pigments in mural paintings to inform preservation practices.…”
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This is God’s land: Moral economies, spirituality, and insurgent land seizures in Zimbabwe’s urban peripheries by Johannes Bhanye, Abraham Matamanda, Ruvimbo Shayamunda

“…Foregrounding the material, moral, and mystical dimensions of urban struggle, the study calls for a decolonized, pluralistic understanding of African urbanization, one attentive to the layered, lived realities shaping land, citizenship, and survival at the city’s contested edge.…”
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Power Equipment Image Recognition Method Based on Feature Extraction and Deep Learning by Shuang Lin

“…Additionally, the method introduces a deep-shallow feature interaction strategy: it integrates shallow and deep feature information through matrix outer product operations, enabling the model to fully learn multi-level features of power equipment. …”
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SARS-CoV-2 Envelope (E) protein interacts with PDZ-domain-2 of host tight junction protein ZO1. by Ariel Shepley-McTaggart, Cari A Sagum, Isabela Oliva, Elizabeth Rybakovsky, Katie DiGuilio, Jingjing Liang, Mark T Bedford, Joel Cassel, Marius Sudol, James M Mullin, Ronald N Harty

“…We postulate that SARS-CoV-2 E interacts with ZO1 in infected epithelial cells, and this interaction may contribute, in part, to tight junction damage and epithelial barrier compromise in these cell layers leading to enhanced virus spread and severe dysfunction that leads to morbidity. …”
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Segmentation and Clustering of Local Planimetric Distortion Patterns in Historical Maps of Jerusalem by Beatrice Vaienti, Isabella di Lenardo, Frédéric Kaplan

“…These findings highlight the potential of computational cartometry to uncover hidden layers of cartographic knowledge and to advance the digital genealogy of map collections.…”
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Chinese Paper-Cutting Style Transfer via Vision Transformer by Chao Wu, Yao Ren, Yuying Zhou, Ming Lou, Qing Zhang

“…This module maximizes mutual information between multi-level transferred features and content features, improves the consistency of representations across different layers, and thus accentuates the unique symmetrical aesthetics and artistic expression of paper-cutting. …”
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An Ensemble of Convolutional Neural Networks for Sound Event Detection by Abdinabi Mukhamadiyev, Ilyos Khujayarov, Dilorom Nabieva, Jinsoo Cho

“…The proposed CRNN model integrates spatial and temporal feature extraction by processing these spectrograms through convolution and bi-directional gated recurrent unit (GRU) layers. …”
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Beyond diagnostic connectivity: Leveraging digital health technology for the real-time collection and provision of high-quality actionable data on infectious diseases in Uganda. by Dennis Mujuni, Julius Tumwine, Kenneth Musisi, Edward Otim, Maha Reda Farhat, Dorothy Nabulobi, Nyombi Abdunoor, Arnold Kennedy Tumuhairwe, Marvin Derrick Mugisa, Denis Oola, Fred Semitala, Raymond Byaruhanga, Stavia Turyahabwe, Moses Joloba

“…The diagnostic connectivity solution was successfully configured on a selected network of multiplexing diagnostic instruments at 260 sites in Uganda, providing a layered access of data. Of these, 909,674 test results were automatically collected from 269 "GeneXpert" machines, 5597 test results from 28 "Truenat" and >12,000 were from 3 digital x-ray devices to different stakeholder levels to ensure optimal use of data for their intended purpose. …”
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An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare by Arfan Ghani, Akinyemi Aina, Chan Hwang See

“…In the evolving landscape of computer vision, the integration of machine learning algorithms with cutting-edge hardware platforms is increasingly pivotal, especially in the context of disruptive healthcare systems. …”
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Adversarial Threats to Cloud IDS: Robust Defense With Adversarial Training and Feature Selection by Hariprasad Holla, Shashidhar Reddy Polepalli, Arun Ambika Sasikumar

“…To mitigate these vulnerabilities, we explicitly propose a dual-layered defense strategy: (i) adversarial training, explicitly incorporating adversarial examples into model training to improve robustness, and (ii) SHAP-based robust feature selection, explicitly enhancing interpretability and resilience by identifying stable, attack-resistant features. …”
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Synthesis of Phase-Correcting Elements Based on Band-Pass Filter and Their Application in Transmitarray Antenna by A. V. Stankovsky, S. V. Polenga, Ye. A. Strigova, A. D. Nemshon, E. R. Gafarov, Yu. P. Salomatov

“…The synthesized deflecting and focusing structures can be used both independently and as control layers in low-profile scanning antenna systems. The developed software provides a significant reduction in the time required for the calculation and synthesis of a large number of PCE.…”
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Enhanced convolutional neural networks for defect detection in fiber-reinforced composites: a hyperparameter optimization approach by Pankaj Beldar, Rasika Chandramore, Sarika Jagtap, Dipali Bendale

“…Two hyperparameter optimization techniques—Keras Tuner and particle swarm optimization (PSO)—were applied to enhance the model’s performance by tuning parameters such as the number of filters, kernel size, pooling size, and the number of convolutional layers.The PSO-optimized CNN achieved a superior classification accuracy of 99.23% with a validation loss of 0.02, outperforming the Keras Tuner model, which reached 96.88% accuracy with a validation loss of 0.1119. …”
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Leveraging spatial dependencies and multi-scale features for automated knee injury detection on MRI diagnosis by Jianhua Sun, Ye Cao, Ying Zhou, Baoqiao Qi

“…The proposed model consists of three main components: a graph construction module, graph convolutional layers, and a multi-scale feature fusion module. Additionally, a contrastive learning scheme is employed to enhance the model’s discriminative power and robustness. …”
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Characterization of braided river reservoir architecture based on seismic attribute stacking ensemble learning: A case study of the C-2 oilfield in the Bohai Bay Basin by ZHANG Zhang, MENG Peng, YANG Wei, ZHANG Xiaolong, HUANG Qi, WANG Haoran

“…It is characterized by thin reservoir layers, vertically stacked multi-phase sandbodies, and rapid lateral facies transitions, leading to complex internal reservoir structures and connectivity. …”
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