KL-FedDis: A federated learning approach with distribution information sharing using Kullback-Leibler divergence for non-IID data by Md. Rahad, Ruhan Shabab, Mohd. Sultan Ahammad, Md. Mahfuz Reza, Amit Karmaker, Md. Abir Hossain

“…To identify the non-IID data, few federated learning models have been introduced as FedDis, FedProx and FedAvg, but their accuracy is too low. …”
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Mapping distribution patterns of invasive alien species in the Santa Monica Mountains using airborne imaging spectroscopy and line-point transect data by Nicoletta Stork, Amy Mainzer, Brooke Carruthers, Mark Mendelsohn, Gregory Asner, Roberta Martin

“…Despite wide recognition of the presence and rapid expansion of invasive species in the SMMNRA, few studies have quantified the proportion and distribution of IPS in the region. A combination of high-resolution airborne imaging spectroscopy data and line-point transect data was used to model the distributions of five target IPS. …”
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Method for compensating multi-time measurement data of distribution network based on alternating minimization matrix completion combined with VMD-ARIMA-LSTM by Xiaodan Yu, Ruijia Jiang, Xiaolong Jin, Hongjie Jia, Yunfei Mu, Wei Wei, Wanxin Tang

“…To address these issues, this paper proposes a hybrid state estimation framework (MC-VMD-ARIMA-LSTM) that integrates alternating-minimization matrix completion (MC) with variational mode decomposition (VMD), autoregressive integrated moving average (ARIMA) modeling, and long short-term memory (LSTM) neural networks for enhanced power flow analysis in low-observability distribution networks. …”
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Lebanon Biogeography Outlined by Tree and Shrub Species Distribution Pattern by Jean Stephan, Youmna Hammoud, Melissa Korban, Ignacio Ferro

“…We found a hotspot of species richness at intermediate elevation on the northwestern slopes of the Lebanon range and a biogeographic transition zone at high elevation and the eastern slopes of Mount Lebanon, as well as the southern Anti‐Lebanon mountains. Species distribution models allowed us to overcome gaps in occurrence data when studying biogeographical delineation. …”
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Optimization Configuration Model for Intelligent Measurement Multi-Core Modules Considering “Cloud-Edge-End-Core” Collaboration by Lai Zhou, Qinhao Li, Guoying Lin

“…The new power system with new energy as the main body gives the low-voltage distribution network (LVDN) a richer connotation, requiring intelligent measurement equipment to have good scalability and collaborative ability. …”
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Research and Implementation of Power Grid Simulation Data Management Platform by Yana FAN, Guangquan BU, Xianghong TAO, Hongfu WANG, Zhiqiang ZHANG

“…The paper studies the technology for extracting multi-time-section power grid model and the data processing technology for addressing bus topology change, and develops a data management platform for power grid simulation, which has been successfully applied to the State Grid Simulation Center, and supported dozens of units such as dispatching center for the preparation of joint calculation data, and become a platform of data management and distribution for the State Grid. …”
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Integration of sentinel-2 data into the SIMETAW model for assessing irrigation water requirements and evapotranspiration by Pierre Rouault, Dominique Courault, Fabrice Flamain, Guillaume Pouget, Claude Doussan, Marcel M. El Hajj, Samer K. Al-Mashharawi, Matthew McCabe, Marta Debolini

“…Data on water volumes used for irrigation together with farmer surveys were used to assess model performance in simulating QI both at the plot level, for thirteen distributed farms, and at the basin scale. …”
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MULTIAXIAL LOW CYCLE FATIGUE LIFE PREDICTION MODEL OF THE METAL MATERIAL CONSIDERING ADDITIONAL STRENGTHENING FFECT by CHENG Qin, GAO JianXiong, YUAN YiPing, LIU YuanYuan, YANG HaoJin, HENG Fei

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Assessing the Supply–Demand Matching and Spatial Flow of Urban Cultural Ecosystem Services: Based on Geospatial Data and User Interaction Data by Linru Li, Yu Bai, Xuefeng Yuan, Feiyan Li

“…Based on open-source geospatial data and user interaction data from social media, a coupled multi-source model was applied to elucidate the spatial distribution of CESs’ supply–demand flow. …”
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Biomass distribution of sympatric mammals in a European temperate forest by Andro Pleskalt, Sebastião Farias, Toni Vicedo, Jose Manuel Álvarez-Martínez, José Valentín Roces-Díaz, Carlo Meloro, Soraia Pereira, Antonio Cruz, Jesús García, Pablo Gómez, María Ángel Lamillar, Elena Marsella, Manuel Jesús Varas, Elena Álvarez, Fredrik Dalerum

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Comparative analysis of data-driven models for spatially resolved thermometry using emission spectroscopy. by Ruiyuan Kang, Dimitrios C Kyritsis, Panos Liatsis

“…The aim of this research is to explore the use of data-driven models in measuring temperature distributions in a spatially resolved manner using emission spectroscopy data. …”
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Modeling of Two Low-amplitude Radially Pulsating δ Scuti Stars: KIC 12602250 and KIC 5768203 by Shuguo Ma, A-Li Luo, Peng Wei, Chenglong Lv, Ming Yang, Fang Zuo, Yingzhen Cui, Shuo Li, Gang Meng, Wen Hou, Yuji He, Yinbi Li, Zhongyang Liu, Xiao-Xiao Ma, Jun-Chao Liang, Fei Dang, Daoye Yang, Ali Esamdin, Hao Zeng, Cai-Xia Qu

“…Using high-precision time-series data from Kepler and TESS, we performed in-depth analysis of the periodic modulation in pulsation frequency phases, successfully determining the orbital periods and companion mass distribution ranges for these binary systems. …”
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Cotton Leaf Disease Detection Using LLM-Synthetic Data and DEMM-YOLO Model by Lijun Gao, Tiantian Ran, Hua Zou, Huanhuan Wu

“…To address the issue of insufficient sample data for certain disease categories, we utilize OpenAI’s DALL-E image generation model to synthesize images for low-frequency diseases, which effectively improves the model’s recognition ability and generalization performance for underrepresented classes. …”
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Modeling biogeochemical processes in the Azov Sea using statistically processed data on river flow by A. I. Sukhinov, Y. V. Belova, A. V. Nikitina, A. M. Atayan

“…Numerical experiments based on the field data confirmed the predictive validity of the developed models and programs. …”
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Development technologies and models of different types of gas reservoirs in Ordos Basin, NW China by Ailin JIA, Dewei MENG, Guoting WANG, Guang JI, Zhi GUO, Naichao FENG, Ruohan LIU, Suqi HUANG, Shuai ZHENG, Tong XU

“…Four key directions of future research and technological breakthroughs are proposed: (1) Utilizing dual-porosity (fracture-matrix) modeling techniques in low-permeability carbonate reservoirs to delineate the volume and distribution of remaining gas in secondary pay zones, supporting well pattern optimization and production enhancement of existing wells. (2) Integrating well-log and seismic data to characterize reservoir spatial distribution of successive strata, enhancing drilling success rates in low-permeability sandstone reservoirs. (3) Utilizing the advantages of horizontal wells to penetrate effective reservoirs laterally, achieving meter-scale quantification of small-scale single sand bodies in tight gas reservoirs, and applying high-resolution 3D geological models to clarify the distribution of remaining gas and guide well placement optimization. (4) Further strengthening the evaluation of deep coal-rock gas in terms of resource potential, well type and pattern, reservoir stimulation, single-well performance, and economic viability.…”
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A rapid calculation method for dynamic linepack of natural gas by coupling data and mechanism models by Xiong YIN, Jing ZHANG, Fei YANG, Yumo ZHU, Kenan SONG, Jinliang GENG, Kai WEN, Jing GONG

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A-XGBoost: a resilient machine learning technique for predicting crimes against women across cultures on low cardinality crime data by Mathew Nicho, Ahmed Hamed, Tarek Gaber, Jamal Hamad Al Arimi

“…In culturally sensitive regions, public reporting of violence against women is limited, leading to low-cardinality datasets. A-XGBoost addresses this by using Conditional GANs to generate realistic data samples while maintaining original feature distributions. …”
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Spatio-temporal distribution of global stromatolites through geological time identified by a large language model approach by Hao Li, Min Zhang

“…The use of large language models has become essential for the efficient extraction and analysis of big data. …”
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Comparison of velocity distribution in turbulent diffusion jet given by the integral model and code CFD FLUENT 6.0 by Bui Van Ga, Pham Thi Kim Loan, Nhan Hong Quang

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A Multi-Scale Species Distribution Model for Migrating and Overwintering Western Monarch Butterflies: Climate Is the Best Predictor by Ashley R. Fisher, William T. Bean, Francis X. Villablanca

“…Given that migratory individuals may make multi-scale habitat selection decisions, we considered a multi-scale species distribution model (SDM) using range-wide climatic and local landscape-level predictors of migratory and overwintering habitat and community-science presence data. …”
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