Data fusion-based improvements in empirical regression and machine learning for global daily ∼ 8 km resolution sea surface nitrate estimation and interpretation by Aifen Zhong, Difeng Wang, Fang Gong, Jingjing Huang, Zhuoqi Zheng, Xianqiang He, Qing Zhang, Qiankun Zhu

“…Here we aim to enhance the accuracy and spatial resolution of SSN retrievals by developing improved regression and machine learning models, enabling the generation of global daily ∼ 8 km SSN products from satellite and model data. …”
Get full text

Congenital heart disease: epidemiological profile of live births, geographical distribution and temporal trends in Brazil from 2012 to 2022 by Gustavo Henrique Bernardo Cabral, João Victor Nascimento Guerra, Kevin Uchoa Pedrosa, Paloma Luna Maranhão Conrado, Jorge Henrique de Aguiar Fonseca, Valda Lúcia Moreira Luna, Pauliana Valéria Machado Galvão, George Alessandro Maranhão Conrado

“…The Prais-Winsten generalized linear regression model was applied modelling on the basis of annual prevalence. …”
Get full text

Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting by Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan

“…However, the existing methods tend to inadequately weigh precipitation intensity features by only implicitly learning and modeling these features within the spatial distribution. …”
Get full text

A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO₂ Data over Taiwan by Alyssa Valerio, Yi-Chun Chen, Chian-Yi Liu, Yi-Ying Chen, Chuan-Yao Lin

“…In contrast, models using only static land cover inputs performed poorly (<i>r</i>² < 0.58), emphasizing the limited predictive capacity of such variables in isolation. …”
Get full text

Downscaling and Gap-Filling GRACE-Based Terrestrial Water Storage Anomalies in the Qinghai–Tibet Plateau Using Deep Learning and Multi-Source Data by Jun Chen, Linsong Wang, Chao Chen, Zhenran Peng

“…In this study, we present a novel downscaling framework integrating temporal gap compensation and spatial refinement to a 0.25° resolution through Gated Recurrent Unit (GRU) neural networks, an architecture optimized for univariate time series modeling. …”
Get full text

Assessing climate-driven phenological responses of tomato crops under future climate change trajectories: A Central India perspective by Pashupati Nath Singh, Prashant K. Srivastava, Bhawana Sharma, R.K. Mall

“…Increased growing season temperatures and marginal reductions in Srad were observed to accelerate crop development, while altered rainfall patterns influenced spatial variability in production. …”
Get full text

Exciton funneling in 2D artificial potential landscapes decorated by reassembled micro-bubbles by Wenqi Qian, Haiyi Liu, Guangyi Tao, Fangxun Liu, Sihan Lin, Tengteng Gao, Xueying Wang, Qihong Hu, Dalin Zhang, Dong Xiang, Lie Lin, Pengfei Qi, Zheyu Fang, Weiwei Liu

Get full text

Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning by Shahed Rezaei, Kianoosh Taghikhani, Alexandre Viardin, Reza Najian Asl, Ali Harandi, Nikhil Vijay Jagtap, David Bailly, Hannah Naber, Alexander Gramlich, Tim Brepols, Mustapha Abouridouane, Ulrich Krupp, Thomas Bergs, Markus Apel

“…Abstract Fast prediction of microstructural responses based on realistic material topology is vital for linking process, structure, and properties. …”
Get full text

Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area by А.А. Kolchev, D.V. Pasynkov, I.A. Egoshin, I.V. Kliouchkin, О.О. Pasynkova

Get full text

Camouflage Target Detection Method with Mutual Compensation of Local-Global Features by HE Wenhao, GE Haibo

“…In the field of camouflage object detection (COD), the latest proposed methods mainly use the local features of the camouflaged target to complete the COD task. The output prediction map has problems such as rough target contours and incomplete objects. …”
Get full text

Convolutional network learning of self-consistent electron density via grid-projected atomic fingerprints by Ryong-Gyu Lee, Yong-Hoon Kim

“…The effectiveness of DeepSCF is demonstrated using a complex carbon nanotube-based DNA sequencer model. This work evidences that the nearsightedness in electronic structure can be optimally represented via the spatial locality in CNNs, offering insight into the success of various machine learning-based atomistic materials simulations.…”
Get full text

Contribution of relative humidity on aerosol optical depth role in influencing the regionalization pattern of precipitation over West Africa by Ayomide Victor Arowolo, Ayodeji Festus Ologun, Precious Ebiendele, Ayodeji Oluleye

“…Understanding the complex interactions between aerosol optical depth (AOD), relative humidity, and precipitation is essential for improving climate and weather prediction models, particularly in regions like West Africa, which are vulnerable to climate variability. …”
Get full text

Flood Hazard Assessment Using Weather Radar Data in Athens, Greece by Apollon Bournas, Evangelos Baltas

“…The GFFG system improves upon the traditional flash flood guidance (FFG) concept by better integrating the weather radar dataset’s spatial and temporal flexibility, leading to increased resolution results. …”
Get full text

The effects of seasonal human mobility and Aedes aegypti habitat suitability on Zika virus epidemic severity in Colombia. by Brandon Lieberthal, Brian Allan, Sandra De Urioste-Stone, Andrew Mackay, Aiman Soliman, Shaowen Wang, Allison M Gardner

“…Our research uses the novel approach of combining geographical modeling of mosquito presence with network modeling of human mobility to offer a comprehensive simulation environment for Zika virus epidemics that considers a substantial number of spatial and temporal factors compared to the literature. …”
Get full text

Spatiotemporal Dynamics and Driving Mechanisms of Ecosystem Services in the Beijing–Tianjin–Hebei Urban Agglomeration: Implications for Sustainable Land Use Planning by Shuanqging Sheng, Jinchuan Huang

“…This study unveils the spatial heterogeneity of ecosystem services and their driving mechanisms in the context of urbanization, offering valuable insights to inform regional ecological conservation and sustainable development policies.…”
Get full text

Spatio-Temporal Variation and Drivers of Land-Use Net Carbon Emissions in Chengyu Urban Agglomeration, China by Wen Wang, Xin Wang, Li Wang, Zhihua Zhang, Daren Lyu

“…In this study, the land-use net carbon emissions (LCN) calculation and evaluation model was built based on the perspective of land-use change. …”
Get full text

Characterising the spatio-temporal patterns of water quality parameters in the cradle of humankind world heritage site using Sentinel-2 and random forest regressor by Sinesipho Ngamile, Sinesipho Ngamile, Mahlatse Kganyago, Sabelo Madonsela, Sabelo Madonsela, Vuyelwa Mvandaba

“…IntroductionWater quality assessment is essential for monitoring and managing freshwater resources, particularly in ecologically and culturally significant areas like the Cradle of Humankind World Heritage Site (COHWHS). This study aimed to predict and map the spatio-temporal patterns of both optically and non-optically active water quality parameters within small inland water bodies located in the COHWHS.MethodsHigh-resolution Sentinel-2 Multispectral Instrument (MSI) satellite data and two random forest models (Model 1 [consisting of sensitive spectral bands] and Model 2 [consisting of spectral bands + indices]) were used alongside In-situ measurements of chlorophyll-a, suspended solids, dissolved oxygen (DO), pH, Temperature, and electrical conductivity (EC) were integrated to establish empirical relationships and assess spatial variability across high-flow and low-flow conditions.ResultsThe results indicated that DO could be predicted with the highest accuracy under low-flow conditions, followed by EC. …”
Get full text

Presenting the Physical Pattern of Today's Housing by Taking Advantage of the Desirable Qualities of Historical Houses (Case Study: Kerman City) by Amjad Bahredar, Ramin Madani, Mohsen Afshari

Get full text

The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method by Hong WANG, Qiaoshun YAN, Zujun ZHAO, Daxiang CHEN, Zhiming ZHANG

Get full text

Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

Get full text