Algorithm for Automating Input and Processing of Initial Data for Computer Forecasting of Spatial Migration of Radionuclides in Soils by P. K. Shalkevich, A. O. Dalmatava

“…At the same time, most modern software for the prediction of the spread of radioactive contamination is based on idealizations that simplify the understanding of this process, while solving the problem of a comprehensive assessment of the biosphere requires the use of a full-fledged spatial model of radionuclide migration in soils. …”
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Spatial–Temporal Approach for Gridded Wind Forecasting Across Southwest Western Australia by Fuling Chen, Kevin Vinsen, Arthur Filoche

“…This paper shows the potential of our machine learning model for wind forecasts across various prediction horizons and spatial coverage. …”
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Multi-Source Coordinated Control and Parameter Optimization Methods for Frequency Stability in High-Proportion New Energy Sending-End Systems by JIANG Minghua, LI Ding, KONG Dezhen, WANG Zhuxiu, BAI Ningning, LI Zhongwen

“…Second， a multi-objective model-predictive automatic generation control method was designed， considering system frequency deviations， generation costs， and emission costs. …”
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Temporal dynamics of SARS-CoV-2 detection in wastewater and population infection trends in Mexico City by Miguel Atl Silva-Magaña, Miguel Atl Silva-Magaña, Marisa Mazari-Hiriart, Adalberto Noyola, Ana C. Espinosa-García, Guillermo de Anda-Jáuregui, Guillermo de Anda-Jáuregui, Enrique Hernández-Lemus

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Landslide susceptibility assessment using lightweight dense residual network with emphasis on deep spatial features by Shenghua Xu, Zhuolu Wang, Jiping Liu, Xinrui Ma, Tingting Zhou, Qing Tang

“…Finally, the output of the model is fed into the Softmax classifier for landslide susceptibility prediction. …”
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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

“…The present study aims to investigate the spatial inequalities in childhood stunting at the district level in Pakistan and validate the importance of spatial lag in predicting childhood stunting. …”
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Radioactive geophysical processing and spatial anomalies analysis based on adaptive weighting fusion and multifractal SVM by Wenjie Lv, Pei Huang, Yaxin Yang, Jun Ning, Xiao Huang, Honglong Yu, Tara P. Banjade, Qibin Luo

“…At the same time, a model has been established to analyze the spatial distribution characteristics of the abnormal radioactive ore body and infer the deep favorable ore-forming target area.…”
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The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages by I. Szivák, Z. Csabai, D. Schmera, A. Móra

“…For instance, the metapopulation dynamic model predicts bimodal OFD pattern indicating the dominance of dispersal processes in structuring the assemblages, while the niche‐based model predicts unimodal right‐skewed OFD pattern, and thus assemblages are driven mostly by niche processes. …”
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Spatial Variation Law of Blasting Vibration in Layered Strata under Blasting Excavation of Subway Tunnel by Zhen Zhang, Chuanbo Zhou, Nan Jiang, Yingkang Yao

“…A prediction model for blasting vibration velocity, which considers the impact of elevation differences, is established through dimensional analysis, enabling the prediction of blasting-induced vibrations at various depths in the layered strata.…”
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THE DEVELOPMENT OF INFORMATION AND COMMUNICATION TECHNOLOGIES AS THE BASIS FOR DIGITAL TRANSFORMATION AND INFORMATION PROCESSING IN SPATIAL TRACKING SYSTEMS by Yu. Brahimi, I. N. Ivanov

“…The concept of “digital technology” has been defined, the development of information and communication technologies as the basis of digital transformation and information processing in spatial tracking systems has been described. The predictions of the future development of digital technology have been made. …”
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Spatial planning for forthcoming shrimp farming in southern coast of Brazil: a tool to coastal management by Guilherme Caldieraro Viana, Luiz Henrique Sousa Salgado, Felipe Schwahofer Landuci

“…The composition of the final model was structured into hierarchical categories with two models, factors, and constraints. …”
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Short-term spatial and temporal forecast of dry snow avalanches of sublimation recrystallization and mixed origin by Yu. B. Andreev, A. N. Bozinsky, P. A. Chernous

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A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution. by Sheng Miao, Guoqing Ni, Guangze Kong, Xiuhe Yuan, Chao Liu, Xiang Shen, Weijun Gao

“…By introducing Channel Attention Mechanism (CAM), the model assigns different weights to auxiliary variables, improving the prediction accuracy of soil hydrocarbon content. …”
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Artificial Intelligence-Supported Spatial Scanning for Enhanced Real-Time Spectral Analysis of Heterogeneous Media by Bassem Mortada, Samir Abozyd, Bassam Saadany, Yasser M. Sabry, Diaa Khalil, Tarik Bourouina

“…The impact of sample scanning on artificial intelligence-based chemometrics model accuracy is rigorously assessed using heterogeneous feed samples, revealing remarkable enhancements in the accuracy of prediction models. …”
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Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya. by Aniruddha Marathe, Dharma Rajan Priyadarsanan, Jagdish Krishnaswamy, Kartik Shanker

“…Ants were sampled in nine elevational bands of 200m with four transects in each band using pitfall and Winkler traps. We used regression models to identify the most important environmental variables that predict species richness and used constrained null models to test the effects of contiguity between the mountain range and plains. …”
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Construction of a prostate adenocarcinoma molecular classification: integrating spatial transcriptomics with retrospective cohort validation by Bingnan Lu, Yifan Liu, Guo Ji, Yuntao Yao, Zhao Yang, Bolin Zhu, Lei Wang, Keqin Dong, Yuanan Li, Jiaying Shi, Junzhe He, Runzhi Huang, Wang Zhou, Xinming Cui, Xiuwu Pan, Xingang Cui

“…Then, we explored multi-omics correlations of MDPC, and constructed the regulation networks of MDPC as well as the prognostic prediction model. Finally, we validated the prognostic prediction value of MDPC through immunohistochemical staining and follow-up of a retrospective cohort. …”
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STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition by Chuhanwen Sun, Yi Zhang

“…We present STHD for probabilistic cell typing of single spots in whole-transcriptome spatial transcriptomics with high definition. With a machine learning model combining count statistics with neighbor regularization, STHD accurately predicts cell type identities of subcellular spots, revealing both global tissue architecture and local multicellular neighborhoods. …”
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Internal Force Analysis of Circular Shaft Structures Considering Spatial Arching and Interlayer Shear Effects by Dongsheng Li, Zhibing Xu, Long Yu, Xu Zhang, Yang Liu

“…The theoretical predictions show good agreement with existing model test results and field monitoring data, demonstrating the accuracy and reliability of the proposed approach. …”
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Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning by Jingjing Liu, Chang Liu, Zhangdaihong Liu, Yibin Zhou, Xiaoguang Li, Yang Yang

“…Conclusion The ASEMD pipeline successfully integrates ML models, epidemiological methods, and spatial analysis techniques, providing a robust framework for understanding the complex interactions between APs and MDs. …”
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A Temperature Noise Correction Method for CMOS Spatial Camera Using LSTM With Attention Mechanism by Long Cheng, Xueying Wang, Jing Xu

“…This study presents an innovative temperature-induced random noise correction method for complementary metal oxide semiconductor (CMOS) spatial cameras using an attention mechanism-enhanced long short-term memory (LSTM) model. …”
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