Fast and Accurate Plane Wave and Color Doppler Imaging with the FOCUS Software Package by Jacob S. Honer, Robert J. McGough

“…Simulation results demonstrate rapid convergence and lower error rates compared to conventional spatial impulse response methods and Field II, resulting in substantial reductions in computation time. …”
Get full text

A Framework for High-Spatiotemporal-Resolution Soil Moisture Retrieval in China Using Multi-Source Remote Sensing Data by Zhuangzhuang Feng, Xingming Zheng, Xiaofeng Li, Chunmei Wang, Jinfeng Song, Lei Li, Tianhao Guo, Jia Zheng

“…This indicates that multi-source data can provide complementary information for SM monitoring. (2) Compared to XGBoost and LSTM, RFR and EL demonstrate superior overall performance and are the preferred models for SM prediction. Their R² for the training and test sets exceed 0.969 and 0.743, respectively, and their ubRMSE are below 0.022 and 0.063 m³/m³, respectively. (3) The SM prediction accuracy is highest for the scenario of optical + SAR + auxiliary data, followed by SAR + auxiliary data, and finally optical + auxiliary data. (4) With an increasing Normalized Difference Vegetation Index (NDVI) and SM values, the trained models exhibit a general decrease in prediction performance and accuracy. (5) In 2021 and 2022, without considering cloud cover, the IF theoretically achieved an SM revisit time of 1–3 days across 95.01% and 96.53% of China’s area, respectively. …”
Get full text

An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…Bayesian image analysis methods are commonly applied to solve image analysis problems such as noise reduction, feature enhancement, and object detection. …”
Get full text

A novel approach towards the robustness of centrality measures in networks by Jens Dörpinghaus, Vera Weil, Robert Rockenfeller, Meetkumar Pravinbhai Mangroliya

Get full text

SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…By exposing the model to an extensive corpus of unlabeled human skeleton data, we can effectively learn to represent complex spatial and temporal dependencies inherent in body movements. …”
Get full text

Research on the Evaluation of the Node Cities of China Railway Express Based on Machine Learning by Chenglin Ma, Mengwei Zhou, Wenchao Kang, Haolong Wang, Jiajia Feng

“…The Random Forest model outperformed comparative algorithms with 99.5% prediction accuracy (8.33% higher than conventional classification models), particularly in handling multi-dimensional interactions between urban development factors. …”
Get full text

Innovation of Yang Hussein Jassim’s method in solving nonlinear telegraph equations across multiple dimensions by Naser Rhaif Swain, Hassan Kamil Jassim

Get full text

Municipal solid waste management practices and sanitary landfill site selection using the AHP approach for emerging industrial zones by Mekonnen Amberber Degefu, Wubshet Asefa

Get full text

Female homicides in Brazil: global burden of disease study, 2000–2018Research in context by Nadia Machado de Vasconcelos, Juliana Bottoni de Souza, Adauto Martins Soares Filho, Polyanna Helena Coelho, Sofia Reinach, Caroline Stein, Crizian Saar Gomes, Luisa Sorio Flor, Emmanuela Gakidou, Antonio Luiz Pinho Ribeiro, Deborah Carvalho Malta

“…Summary: Background: Female homicides are a public health-relevant issue, and its spatial distribution may evidence socioeconomic vulnerabilities. …”
Get full text

High Resolution Sea Ice Concentration Using a Sentinel-1 U-Net Ice-Water Classifier by Jozef Rusin, Anthony P. Doulgeris, K. Andrea Scott, Thomas Lavergne, Catherine Taelman

“…We trained the U-Net across multilooking levels to balance resolution, noise reduction, and computational efficiency, allowing the model to handle noise artefacts effectively. …”
Get full text

Research on step-by-step visual servo control system of anchor drilling robot by Mengyu LEI, Xuhui ZHANG, Wenjuan YANG, Jicheng WAN, Yuyang DU, Henghan YU, Chenhui TIAN

“…Secondly, through displacement and angular sensors deployed on manipulator joints, this study constructed an enhanced kinematic model using the modified Denavit-Hartenberg (MDH) method, enabling accurate spatial position resolution of the end-effector and determination of its initial and target positions. …”
Get full text

Weapon detection with FMR-CNN and YOLOv8 for enhanced crime prevention and security by Shanthi P, Manjula V

“…Such a combination enables the concurrent utilization of high-resolution spatial context information and rapid frame-wise predictions, thus making it well-suited for continuous video surveillance tasks. …”
Get full text

LSTM-Based Neural Network to Recognize Human Activities Using Deep Learning Techniques by Sunitha Sabbu, Vithya Ganesan

Get full text

Evaluation of Personal and Built Environment Attributes to Physical Activity: A Multilevel Analysis on Multiple Population-Based Data Sources by Wei Yang, Karen Spears, Fan Zhang, Wai Lee, Heidi L. Himler

“…Multiple data sources were utilized including individual level data for health behaviors and health status from the Nevada Behavioral Risk Factor Surveillance System (BRFSS) and community level data from different data sources including indicators for recreation facilities, safety, air quality, commute time, urbanization, population density, and land mix level. Mixed model logistic regression and geographic information system (GIS) spatial analysis were conducted. …”
Get full text

A novel ecological risk assessment method of potentially toxic elements based on soil nematode communities by Xiujuan Yang, Li Cao, Bijun Cheng, Huirong Duan, Zixuan Fu, Xiaofang Xu, Qianying Xiang, Shuhan Wang, Xiaoqing Yan, Zhihong Zhang, Hongmei Zhang

“…Applying general community indices and NBIs, Ridge and RF models can effectively predict the ecological risks of PTEs.…”
Get full text

Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG1 antibody prone to self-interaction. …”
Get full text

Multi-Task Water Quality Colorimetric Detection Method Based on Deep Learning by Shenlan Zhang, Shaojie Wu, Liqiang Chen, Pengxin Guo, Xincheng Jiang, Hongcheng Pan, Yuhong Li

Get full text

The solution space of a five-dimensional geometry: Kundt spacetimes and cosmological time-crystals by Homa Shababi, Theophanes Grammenos, Nikolaos Dimakis, Andronikos Paliathanasis, Theodosios Christodoulakis

“…We uncover the solution space of a five dimensional geometry which we deem it as the direct counterpart of the Bianchi Type V cosmological model. We kinematically reduce the scale factor matrix and then, with an appropriate scaling and choice of time, we cast the spatial equations into a simple “Kasner” like form; thus revealing linear integrals of motion. …”
Get full text

Feature Fusion Graph Consecutive-Attention Network for Skeleton-Based Tennis Action Recognition by Pawel Powroznik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz

“…The proposed model demonstrated excellent tennis movement prediction ability.…”
Get full text

Anti-obesity functions of fucoidan conducted by bioinformatics and validation findings targeting of autophagy by Jinkai Li, Xiaowei Wan, Yonghang Li, Ping Wang, Jian Chen, Weihua Jin, Jiaqi Liu

Get full text