Controlling update distance and enhancing fair trainable prototypes in federated learning under data and model heterogeneity by Kangning Yin, Zhen Ding, Xinhui Ji, Zhiguo Wang

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Rapid global antenna design by simplex regressors and multi-resolution simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski, Leifur Leiffson

“…Surrogate modeling may mitigate this issue to a certain extent, yet dimensionality and parameter range issues severely impede the construction of accurate metamodels. This research suggests an innovative algorithm for global parameter adjustment of antenna systems. …”
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Colony Binary Classification Based on Persistent Homology Feature Extraction and Improved EfficientNet by Zumin Wang, Ke Yang, Jie Tang, Jun Gao, Yuhao Zhang, Wei Xu, Chun-Ming Huang

“…Specifically, (1) a PH feature extraction algorithm is applied to Candida albicans (CA) and Staphylococcus epidermidis (SE) colonies cultured for 18 h in Petri dishes to capture their topological information. (2) The Mobile Inverted Bottleneck Convolution (MBConv) module in EfficientNet is modified, enhancing the attention mechanism to better handle local small targets. (3) A novel self-attention mechanism named the Spatial and Contextual Transformer (SCoT), which is introduced to process information at multiple scales, increasing the resolution in orthogonal directions of the image and the aggregation capability of feature maps. …”
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Challenges and Opportunities in Remote Sensing-Based Fuel Load Estimation for Wildfire Behavior and Management: A Comprehensive Review by Arnick Abdollahi, Marta Yebra

“…However, challenges persist in securing data for algorithm calibration and validation and in achieving the desired accuracies for surface fuels.…”
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DRACO: Decentralized Asynchronous Federated Learning Over Row-Stochastic Wireless Networks by Eunjeong Jeong, Marios Kountouris

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Increased Extreme Precipitation in Western North America from Cut-Off Lows Under a Warming Climate by Henri Pinheiro, Tercio Ambrizzi, Kevin Hodges

“…Cut-off low (COL) pressure systems significantly influence local weather in regions with high COL frequency, particularly in western North America. …”
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A Novel Multi-Step Forecasting-Based Approach for Enhanced Burst Detection in Water Distribution Systems by Xi Wan, Raziyeh Farmani, Edward Keedwell, Xiao Zhou

“…The approach incorporates a multi-step forecasting model, offering multiple sources for the forecasting, and aggregates the forecasts to establish a common expectation for the data pattern. A metric termed Local Residual Discrepancy (LRD) is proposed to score deviation between predictions and observations. …”
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Separable Reversible Data Hiding in Encrypted 3D Mesh Models Based on Spatial Clustering and Multi-MSB Prediction by Y. Mao, Y. Xu

“…Reversible data hiding in the encrypted domain (RDH-ED) involves performing data encryption to protect privacy and hiding data for covert communication or access control. Current research mainly focuses on exploring spatial correlation of adjacent vertices and local spatial correlation to reserve embedding space, while ignoring global spatial correlation, limiting embedding capacity. …”
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Graphlet decomposition dataset of Tallinn’s road network from January 2020 OpenStreetMap dataGithub by Mahdi Rasoulinezhad, Nasim Eslamirad, Jenni Partanen

“…Graphlets, which are small subgraphs, serve as powerful tools for analyzing and classifying local street structures in urban networks. The dataset includes counts of all possible four-node graphlet configurations for each intersection in the road network, provided in both Comma Separated Values (CSV) and Environmental Systems Research Institute (ESRI) Shapefile formats for maximum accessibility. …”
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Full-Waveform Inversion of Two-Parameter Ground-Penetrating Radar Based on Quadratic Wasserstein Distance by Kai Lu, Yibo Wang, Heting Han, Shichao Zhong, Yikang Zheng

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Grouping control of electric vehicles based on improved golden eagle optimization for peaking by Yang Yu, Yuhang Huo, Shixuan Gao, Qian Wu, Mai Liu, Xiao Chen, Xiaoming Zheng, Xinlei Cai

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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

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STRATEGIC GOALS AND QUALITATIVE PROGRESS INDICATORS OF THE PROCESS OF NEO-INDUSTRIALISATION OF THE MANUFACTURING INDUSTRY IN UKRAINE by Olha Ilyash, Nataliia Semenchenko, Andrii Sachenko

“… Research subject. The article describes a system of strategic objectives and quality metrics associated with the development of neo-industrialisation processes in the manufacturing industry of Ukraine. …”
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YOLO-RDM: Innovative Detection Methods for Eggplants and Stems in Complex Natural Environment by Qin Liu, Zhibin Zhou, Lu Xiong, Meilian Lu, Jingwen Ouyang

“…Accurate identification of eggplants and their stems in complex environments is crucial for the research on intelligent harvesting equipment for eggplants. …”
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Transmission line fault identification method based on weighted federated learning and multimodal residual network by Jian Wang, Fengkai Lin, Dongliang Nan, Qi Zhao, Han Xue, Jinxin Ouyang

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Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework. by Máté Mohácsi, Márk Patrik Török, Sára Sáray, Luca Tar, Gábor Farkas, Szabolcs Káli

“…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. …”
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Decentralized Communication-Free Controller for Synchronous Solar-Powered Water Pumping with Emulated Neighbor Sensing by Roungsan Chaisricharoen, Wanus Srimaharaj, Punnarumol Temdee, Hamed Yahoui, Nina Bencheva

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Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics by Mao Yang, Tian Peng, Wei Zhang, Xin Su, Chao Han, Fulin Fan

“…Measured power data of wind farm are analyzed, influence of wind speed fluctuation characteristics on wind power is discussed, and abnormal points are identified for data of different wind types. The Cluster-Based Local Outlier Factor (CLOF) algorithm based on K-means is used to identify outlier abnormal points, and conditional constraints based on physical background are used to identify accumulation abnormal points. …”
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A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data by Barbara Cardone, Ferdinando Di Martino, Cristiano Mauriello, Vittorio Miraglia

“…Conversely, uncultivated areas show critical behaviors during heatwaves; they are classified with maximum NDVI and NDMI values of Medium Low and maximum LST values of Medium High. The research results represent a support to urban planners and local municipalities in designing effective strategies and nature-based solutions to deal with heat waves in urban settlements.…”
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Results of trawl counts for juvenile pink salmon in the Bering and Okhotsk Seas in 2024 and prospects for the returns and catch in the Karaginsky subzone and Okhotsk Sea in 2025 by A. A. Somov, E. A. Shevlyakov, A. N. Starovoitov, V. A. Shevlyakov, I. V. Melnikov

“…Abundance in «northern» and «southern» regional complexes of local stocks is estimated for pink salmon in the Okhotsk Sea using cluster analysis with the expectation-maximization algorithm (EM clustering); the «northern» group prevailed with the ratio 64:36 %.…”
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