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. …”
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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. …”
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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. …”
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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

“…The forecasting method along with the selection of spatial drivers to predict land cover change, demonstrated high efficiency compared to other studies. …”
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Early signs of strong El Niño–Southern Oscillation episodes by Wenxiu Zhong, Arnold Sullivan, Gian Luca Eusebi Borzelli, Ziguang Li

“…AI technology has highlighted the importance of sea surface salinity in obtaining accurate ENSO predictions, even beyond the spring predictability barrier (SPB), which is commonly understood as a prediction barrier that occurs during the boreal spring. …”
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A GNN-Based False Data Detection Scheme for Smart Grids by Junhong Qiu, Xinxin Zhang, Tao Wang, Huiying Hou, Siyuan Wang, Tiejun Yang

“…However, since topological changes of power networks in smart grids often already predict the occurrence of anomalies, traditional models based on STGNNs to portray network evolution cannot be directly utilized in smart grids. …”
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Crack-ConvT Net: A Convolutional Transformer Network for Crack Segmentation in Underwater Dams by Pengfei Shi, Hongzhu Chen, Zaiming Geng, Xinnan Fan, Yuanxue Xin

“…Firstly, a Global Information Aggregation Block is introduced to enhance the model’s ability to capture the spatial distribution of cracks by leveraging multiscale pooling and channel expansion strategies, which improve global context awareness while preserving high-resolution details. …”
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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. …”
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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. …”
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Tracking green space along streets of world cities by Giacomo Falchetta, Ahmed T Hammad

“…Based on our trained and cross-validated non-parametric model, we conduct spatial sampling and prediction in 190 large cities distributed across twenty regions and estimate local to continental GVI trends between 2016–2023. …”
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Urbanization and forecast possibilities of land use changes by 2050: New evidence in Ho Chi Minh city, Vietnam by Tuan Nguyen Tran, Hegedűs Gábor, Phuong Nguyen Thi Tung

“…In contrast, the urban land group had a strong increasing trend, with an increase of nearly 25% after 20 years. In terms of spatial distribution, HCM city tended to develop in three main directions: east, southwest, and northwest. …”
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Integrated geophysical prospecting for deep ore detection in the Yongxin gold mining area, Heilongjiang, China by Yechang Yin, Jun Chen, Zhonghai Zhao, Yuanjiang Yang, Chenglu Li, Haina Li, Xiang Zhao

“…Abstract Geophysical exploration techniques play a pivotal role in enhancing the accuracy of mineral prospecting predictions. However, relying solely on individual methods often introduces uncertainties. …”
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Challenges and Potential of Remote Sensing for Assessing <i>Salmonella</i> Risk in Water Sources: Evidence from Chile by Rayana Santos Araujo Palharini, Makarena Sofia Gonzalez Reyes, Felipe Ferreira Monteiro, Lourdes Milagros Mendoza Villavicencio, Aiko D. Adell, Magaly Toro, Andrea I. Moreno-Switt, Eduardo A. Undurraga

“…Twelve spectral indices (e.g., NDVI, NDWI, and MNDWI) were used as predictors to develop a predictive model for the presence of the pathogen, which achieved 59.2% accuracy. …”
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Large errors in soil carbon measurements attributed to inconsistent sample processing by R. J. Even, M. B. Machmuller, M. B. Machmuller, J. M. Lavallee, J. M. Lavallee, T. J. Zelikova, T. J. Zelikova, M. F. Cotrufo, M. F. Cotrufo

“…Moreover, we show promising results using FTIR spectroscopy coupled with predictive modeling for estimating % TC, % SIC, and % SOC in regions where spectral libraries exist.…”
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LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring by P. Shailaja, Pala Mahesh Kumar, Nalla Nikhitha, Kunta Neeraj Kumar Reddy, Enthala Mukesh Reddy, Goli Ganesh Reddy, Vadde Indu

“…This method involves initial image normalization, noise reduction, and enhancing spatial resolution to improve classification performance. …”
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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. …”
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Soil moisture forecasting in wireless sensor networks via spatiotemporal graph convolutional networks by Weixuan Wang, Yating Wei, Longfei Hao, Zushuai Wei, Tianjie Zhao

“…However, due to the combined effects of internal factors like soil types, terrain, and vegetation cover, as well as external factors such as precipitation and temperature, soil moisture data in wireless sensor networks exhibit complex spatial and temporal interdependencies. Consequently, developing predictive models that can accurately capture these dependencies and enable precise forecasts of soil moisture within these networks poses a significant challenge. …”
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A Review of Artificial Intelligence and Deep Learning Approaches for Resource Management in Smart Buildings by Bibars Amangeldy, Timur Imankulov, Nurdaulet Tasmurzayev, Gulmira Dikhanbayeva, Yedil Nurakhov

“…This review shows that AI-driven controllers—especially deep-reinforcement-learning agents—deliver median energy savings of 18–35% for HVAC and other major loads, consistently outperforming rule-based and model-predictive baselines. The evidence further reveals a rapid diversification of methods: graph-neural-network models now capture spatial interdependencies in dense sensor grids, federated-learning pilots address data-privacy constraints, and early integrations of large language models hint at natural-language analytics and control interfaces for heterogeneous IoT devices. …”
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The influence of climate change on the potential distribution of Ageratum conyzoides in China by Yuan Wang, Yonggang Yang, Minggang Zhang

“…Our results demonstrate that the ensemble model, constructed from the top seven single models, outperforms the individual models in predicting the suitable habitat of A. conyzoides. …”
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Exploring Dissipation Terms in the SPH Momentum Equation for Wave Breaking on a Vertical Pile by Corrado Altomare, Yuzhu Pearl Li, Angelantonio Tafuni

“…The performance of the dissipation schemes remained robust across three tested particle spacings, confirming consistency in force and elevation predictions. Additionally, it underscores the sensitivity of SPH predictions to spatial resolution, highlighting the need for careful calibration to ensure robust and reliable outcomes. …”
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