Evaluating the Pattern of Forest Cover Changes Using Fuzzy Object-Oriented Techniques (Case Study: Kaleybar County) by Majid Pishnamaz Ahmadi, keyvan Mohammadzadeh, seyed Asadolah Hejazi

“…Nowadays with development of remote sensing technology, a large amount of spatial data is available. Satellite data is the fastest and cheapest method for researchers to provide land cover mapping. …”
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ZEB1 transcription factor promotes immune escape in melanoma by Christophe Caux, Stephane Dalle, Arnaud de la Fouchardière, Laurie Tonon, Maud Plaschka, Valentin Benboubker, Maxime Grimont, Justine Berthet, Jonathan Lopez, Myrtille Le-Bouar, Brigitte Balme, Garance Tondeur, Lionel Larue, Alain Puisieux, Yenkel Grinberg-Bleyer, Nathalie Bendriss-Vermare, Bertrand Dubois, Julie Caramel

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Сomparative Analysis of the Long-Term Results of Diabetic Macular Edema and Epiretinal Membrane Surgical Treatment by M. M. Bikbov, R. M. Zainullin, T. R. Gilmanshin, T. A. Khalimov

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Development of Mobile Robot-Based Precision 3D Position Measurement System by Pilgong Choi, Jeng-O Kim, Myeongjun Kim, Kyunghan Kim

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Expanded Design by Roberto Bottazzi

“…The application of such algorithmic models to design will be supported by the research developed by students part of Research Cluster 14 part of the Master in Urban Design at The Bartlett School of Architecture in London.  …”
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High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion by Zhongqiang Song, Jiahao Shen, Qiaoyi Liu, Wanyue Zhang, Ziqian Ren, Kaiwen Yang, Xinle Li, Jialei Liu, Fengming Yan, Wenqiang Li, Yuqing Xing, Lili Wu

“…Compared with the model excluding the RK50 module, the mAP50 improved by 2.9%, and its performance in detecting small-target honeydew significantly surpassed mainstream algorithms. This study presents an innovative solution for automated monitoring of aphids’ fine-grained behaviors and provides a reference for insect behavior recognition research. …”
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A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

“…The proposed method incorporates a 3D generalization algorithm that mitigates visual stickiness, while leveraging a 3D line field visualization technique to optimize opacity, thereby minimizing visual occlusion and spatial clutter. …”
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Analysis of Electromagnetic Characteristics of Outer Rotor Type BLDC Motor Based on Analytical Method and Optimal Design Using NSGA-II by Tae-Seong Kim, Jun-Won Yang, Kyung-Hun Shin, Gang-Hyeon Jang, Cheol Han, Jang-Young Choi

“…The research validates the proposed analytical approach against the finite element analysis method (FEM) results to confirm its accuracy.…”
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Clinical and Epidemiological Characteristics of Infections Associated with Surgery and Treatment of Oncological Diseases by G. G. Badamshina, V. B. Ziatdinov, L. M. Fatkhutdinova, G. M. Тrukhina, B. A. Bakirov, A. V. Tutelian, G. Sh. Isaeva

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Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management by T. V. Ramachandra, Paras Negi

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A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images by Mengguang Liao, Longcheng Huang, Shaoning Li

“…First, two sets of deep-level features of building areas were extracted using ResNet-18 and ResNet-34, with five encoded features of varying scales obtained through a fusion algorithm. Meanwhile, information on the deepest-level encoded features was enriched utilizing an atrous spatial pyramid pooling module. …”
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Deep Learning-Based Atmospheric Visibility Detection by Yawei Qu, Yuxin Fang, Shengxuan Ji, Cheng Yuan, Hao Wu, Shengbo Zhu, Haoran Qin, Fan Que

“…Furthermore, the paper addresses critical challenges in the field, including dataset quality, algorithm optimization, and practical application barriers, proposing future research directions, such as the development of large-scale, accurately labeled datasets, innovative learning strategies, and enhanced model interpretability. …”
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High-resolution global distribution projections of 10 rodent genera under diverse SSP-RCP scenarios, 2021–2100 by Yang Lan, Xiao Wu, Meng Xu, Keran Li, Yizhong Huan, Guangjin Zhou, Fei Lun, Wenlong Shang, Riqi Zhang, Yang Xie

“…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”
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The 2017 Land Use/Land Cover Map of Catalonia based on Sentinel-2 images and auxiliary data by O. González-Guerrero, X. Pons

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Digitization of Architectural Heritage Objects Using Photogrammetry: Sumy Region Case Study by Ihor Tytarenko, José Machado, Ivan Pavlenko

“…Next, changes in relief, cartographic deformations, and spatial dynamics of the terrain were studied. The developed algorithm for overlaying maps with different degrees of accuracy (satellite images, orthophotomaps, etc.) ensured designing reliable digital fundamentals for further 3D reconstruction of destroyed objects. …”
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On the propeller wake evolution using large eddy simulations and physics-informed space-time decomposition by Zhan Zhang, Peng Sun, Long Pan, Teng Zhao

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Underwater Target Localization Method Based on Uniform Linear Electrode Array by Wenjing Shang, Feixiang Gao, Jiahui Liu, Yunhe Pang, Sergey V. Volvenko, Vladimir M. Olshanskiy, Yidong Xu

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Multiple timescale variations in fronts in the Seto Inland Sea, Japan by M. Dong, X. Guo

“…<p>The Seto Inland Sea (SIS) is a critical semi-enclosed coastal sea in Japan, characterized by intricate coastlines and narrow straits that give rise to various fronts. Despite extensive research on tidal fronts, knowledge gaps persist regarding their spatiotemporal dynamics, particularly in certain poorly documented regions. …”
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Mathematical Model for a Radar Signal Reflected from Drone Propellers as Applied to the Method of Inverse Synthetic Aperture Radar in Bistatic Radar by E. C. Plotnitskaya, S. R. Heister, V. I. Veremyev

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Pumping up your predictive power for cognitive state detection with the proper GAINS by Victoria Ribeiro Rodrigues, Jeremy R. Prieto, Szilard L. Beres, Chad Stephens, Christopher Myers, Nicholas J. Napoli

“…The findings highlight the potential for developing real-time cognitive monitoring systems to enhance safety and performance in environments where cognitive impairments can have serious consequences. Future research should extend these insights by incorporating transient behaviors and spatial dynamics to achieve a more comprehensive framework for characterizing cognitive states.…”
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