Optimized fiducial marker placement using B‐spline surface modeling and graph theory for Cyberknife stereotactic body radiotherapy for superficial tumors by Jing Huang, Xianlong Xiong, Cheng Chen, Yuhan Li, Ruijie Wang, Zhitao Dai

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Refining daily precipitation estimates using machine learning and multi-source data in alpine regions with unevenly distributed gauges by Huajin Lei, Hongyi Li, Hongyu Zhao

“…This study offers high-quality and long-term alternative data for hydrometeorology research. Meanwhile, XDMF is a promising algorithm for enhancing precipitation in high-altitude mountain areas, which can be flexibly transferred to other regions, different machine learning algorithms, and various hydrometeorological variables.…”
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RETRACTED: Temporal-Difference Graph-Based Optimization for High-Quality Reconstruction of MODIS NDVI Data by Shengtai Ji, Shuxin Han, Jiaxin Hu, Yuguang Li, Jing-Cheng Han

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Integration of Deep Learning and Machine Learning Techniques for Advancing the Detection of Plant Diseases by Abdul Karim, Touqeer Ahmed Jumani, Muhammad Amir Raza, Shadi Khan Baloch, Nouman Qadeer Soomro, Muhammad Masud, Muhammad Salman Saeed, Mouaaz Nahas, Aamir Ali Patoli

“…Detection of new diseases which were not detected earlier is another primary aim of this research. For the detection of the unknown kind of diseases in plants, the Density‐Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm was utilized for clustering the similar captured images and for disease classification; then CNN XGBoost was applied on the newly developed dataset. …”
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A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection by Xu Yan, Junliang Du, Xuan Li, Xiaoye Wang, Xiaoxuan Sun, Pochun Li, Hongye Zheng

“…To address this, this paper proposes a novel small target detection algorithm that integrates hierarchical feature fusion with a spatial dynamic collaboration mechanism. …”
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Modeling and Reconstruction of Mixed Functional and Molecular Patterns

“…<p>Functional medical imaging promises powerful tools for the visualization and elucidation of important disease-causing biological processes in living tissue. Recent research aims to dissect the distribution or expression of multiple biomarkers associated with disease progression or response, where the signals often represent a composite of more than one distinct source independent of spatial resolution. …”
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A geometrical-numerical method for the determination of the acoustic field properties related to the directions of reflected waves by Maria TAJCHERT

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Improved Cylinder-Based Tree Trunk Detection in LiDAR Point Clouds for Forestry Applications by Shaobo Ma, Yongkang Chen, Zhefan Li, Junlin Chen, Xiaolan Zhong

“…For LiDAR-acquired forest point cloud data, existing two-dimensional (2D) plane-based algorithms for tree trunk detection often suffer from spatial information loss, resulting in reduced accuracy, particularly for tilted trees. …”
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Sonification: Review of Auditory Display Solutions in Electronic Travel Aids for the Blind by Michał BUJACZ, Paweł STRUMIŁŁO

“…The review covers both those commercially available and those in various stages of research, according to the input used, level of signal processing algorithm used and sonification methods. …”
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Procedure for finding an integral indicator of regional social development by L. A. Tretyakova, E. V. Lisova

“…The analysis of the presented data is carried out, conclusions are drawn about possible directions and prospects for further research in temporal and spatial aspects.…”
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Downscaling of ERA5 reanalysis land surface temperature based on attention mechanism and Google Earth Engine by Shiyu Li, Hong Wan, Qun Yu, Xinyuan Wang

“…However, its fine-scale application is limited by its low spatial resolution. Therefore, to improve the spatial resolution of ERA5-Land LST data, this study proposes an Attention Mechanism U-Net (AMUN) method, which combines data acquisition and preprocessing on the Google Earth Engine (GEE) cloud computing platform, to downscale the hourly monthly mean reanalysis LST data of ERA5-Land across China’s territory from 0.1° to 0.01°. …”
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Synergic sensing of light and heat emitted by offshore oil and gas platforms in the South China Sea by Yujia Qiu, Xiao-Ming Li, Lin Yan, Zhongzhong Chen

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Enhancing 3D A* path planning of intelligent bridge crane based on energy efficiency criteria by Heng YANG, Yue LI, Min LIU, Qing DONG

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Construction of dense CMP data from sparsely collected GPR CMP data for the improved estimation of soil dielectric constant profile by Koki Oikawa, Hirotaka Saito, Seiichiro Kuroda, Kazunori Takahashi

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Criminal Trajectory Reconstruction Method Based on a Mobile Reference System by Zhengyan Ding, Yan Lin, Xin Wei Li, Cheng Rui Gu, Qi Yan Ying

“…Experimental comparisons demonstrate that the proposed method reconstructs more accurate and reasonable criminal trajectories. The research provides theoretical support for public security investigations, analyzing criminal movement characteristics and using spatial points related to criminal travel to supplement missing trajectories, addressing gaps in criminal trajectory reconstruction research and contributing to the accurate reconstruction of criminal movement paths.…”
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Increasing the reliability of reinforced concrete frames of multistorey buildings by A. P. Malyshkin, A. V. Esipov, M. A. Esipov

“…The aim of the numerical research was to develop a method to improve the reliability of multistorey buildings with monolithic reinforced concrete frames. …”
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Estimativa do balanço de radiação por sensoriamento remoto de diferentes usos de solo no sudoeste da Amazônia brasileira / Estimative of radiation balance by remote sensing of diff... by Luiz Carlos Da Silva, José Maurício Cunha, Nadja Gomes Machado, Milton César Costa Campos, Marcelo Sacardi Biudes

“…Changes in land use have motivated research on the dynamics of radiative and energy exchange in the Brazilian Amazon, which in turn cause demand for such data on the surface in spatial and temporal scales. …”
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Low-Light Image Enhancement via New Intuitionistic Fuzzy Generator-Based Retinex Approach by M. S. Ragavendirane, S. Dhanasekar

“…Experimental results demonstrate that the proposed algorithm consistently outperforms existing image enhancement methods, yielding images that maintain optimal balance in contrast level and detail using standard full referral metrics such as absolute mean brightness error, mutual information, peak signal to noise ratio, and non-referral metrics like entropy, contrast per pixel, spatial frequency, blind reference less image spatial quality evaluator, and mean intensity gradient.…”
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CALCULATION OF OBJECTS THERMAL IMAGING PARAMETERS FROM UNMANNED AERIAL VEHICLES by L. V. Katkovsky

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AI-Driven Particulate Matter Estimation Using Urban CCTV: A Comparative Analysis Under Various Experimental Conditions by Woochul Choi, Hongki Sung, Kyusoo Chong

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