Classification evaluation and improvement of airborne PolSAR images for land use mapping using deep learning by Jiafeng Wang, Yongjiu Feng, Xiaohua Tong, Zhenkun Lei, Mengrong Xi, Yi Zhou, Panli Tang

“…To evaluate the performance of airborne PolSAR images in land use classification, this paper systematically evaluated the potential value of PolSAR images in land use classification by using machine learning and deep learning algorithms, and improved the classification performance of airborne PolSAR images by constructing a multi-structural feature aware attention network (MSFA-Net). …”
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UAV as a Bridge: Mapping Key Rice Growth Stage with Sentinel-2 Imagery and Novel Vegetation Indices by Jianping Zhang, Rundong Zhang, Qi Meng, Yanying Chen, Jie Deng, Bingtai Chen

“…Furthermore, we employed 30 vegetation index calculation methods to explore 48,600 spectral band combinations derived from 10 Sentinel-2 spectral bands, thereby constructing a series of novel vegetation indices. Based on the maximum relevance minimum redundancy (mRMR) algorithm, we identified an optimal subset of features that were both highly correlated with rice growth stages and mutually complementary. …”
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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…Overhead line planning is an essential component of modern infrastructure construction in human society and a fundamental prerequisite for the transportation and distribution of resources, with extensive application scenarios particularly in the fields of power grids and communication construction. …”
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Military Vehicle Object Detection Based on Hierarchical Feature Representation and Refined Localization by Yan Ouyang, Xinqing Wang, Ruizhe Hu, Honghui Xu, Faming Shao

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A seismic random noise suppression method based on CNN-Mamba by Xiujuan WEI, Xingye LIU, Huailai ZHOU

“…The hardware-aware parallel algorithm of Mamba was employed to reduce the computational resource consumption, thus ensuring the denoising performance while enhancing computational efficiency. …”
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Application of YOLO-based deep learning and UAV imagery in hybrid maize seed production by Marcelo Araújo Junqueira Ferraz, Pablo de Sousa Arantes, Adriano Teodoro Bruzi, Adão Felipe dos Santos

“…The image database was constructed using preprocessing strategies to augment the dataset. …”
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Open Source Evaluatology: An evaluation framework and methodology for open source ecosystems based on evaluatology by Fanyu Han, Shengyu Zhao, Wei Wang, Aoying Zhou, Weining Qian, Xuan Zhou, Jiaheng Peng, Lan You, Yang Chen, Xiaoya Xia, Yenan Tang, Liyun Yang, Chunqi Tian

“…Guided by the foundational theories of evaluatology, this paper proposes a new interdisciplinary research field, Open Source Evaluatology, and constructs an evaluation theoretical framework and methodology for open-source ecosystems. …”
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Phase-dependent closed-loop deep brain stimulation of the fornix provides bidirectional manipulation of hippocampal theta oscillations by Isaac Grennan, Brook Perry, Anna Verghese, Melissa Jones, Oliver Härmson, Colin G. McNamara, Andrew Sharott

“…Material and methods: We applied closed-loop electrical stimulation to the fornix of rats traversing a linear track, triggered by different phases of the ongoing theta oscillation in the hippocampal local field potential (LFP) using the OscillTrack algorithm. …”
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Small-sample-data augmentation and transfer strategies for forest cover change monitoring by Kun Feng, Shaoxiu Ma, Haiyang Xi, Linhao Liang, Weiqi Liu, Atsushi Tsunekawa

“…By integrating small-sample data from field observations and expert visual interpretation, as well as utilizing Dempster-Shafer (D-S) evidence theory to assimilate multi-source land cover datasets, a high-quality large-sample label database for the Qilian Mountains was constructed. …”
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Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…Underground drilling is a commonly used construction method that requires repeated loading and unloading of drill pipes. …”
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Exploring Mechanisms of Lang Qing Ata in Non-Alcoholic Steatohepatitis Based on Metabolomics, Network Pharmacological Analysis, and Experimental Validation by Li S, Zhu H, Zhai Q, Hou Y, Yang Y, Lan H, Jiang M, Xuan J

“…Subsequently, we employed network construction and analysis approaches within the field of network pharmacology. …”
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Design of 3D Environment Combining Digital Image Processing Technology and Convolutional Neural Network by Xiaofei Lu, Shouwang Li

“…To enhance 3D reconstruction accuracy, this study proposes a digital image processing technology that combines binocular camera calibration, stereo correction, and a convolutional neural network (CNN) algorithm for optimization and improvement. By employing the refined stereo-matching algorithm, a 3D reconstruction model was developed to augment 3D environment design and reconstruction accuracy while optimizing the 3D reconstruction effect. …”
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Visual detection of screen defects in occlusion and missing scenes by YIN Dongfu, DU Mingchen, HU Tianhao, LI Youming, ZHANG Xiaohong, YU Fei Richard

“…The application of proposed algorithm can effectively reduce labor costs and improve detection efficiency. …”
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Preoperative prediction of pituitary neuroendocrine tumor invasion using multiparametric MRI radiomics by Qiuyuan Yang, Tengfei Ke, Jialei Wu, Yubo Wang, Jiageng Li, Yimin He, Jianxian Yang, Nan Xu, Bin Yang

“…Data were divided into training set and testing set according to different field strength equipment. Radiomics features were extracted from the manually delineated regions of interest in T1WI, T2WI and CE-T1, and the best radiomics features were screened by LASSO algorithm. …”
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Corporate Real Estate alignment by Monique Arkesteijn

“… One of the long-standing issues in the field of corporate real estate management is the alignment of an organization’s real estate to its corporate strategy. …”
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The Use of Economic and Mathematical Modeling in Assessing the Competitiveness of Tourism Industry Enterprises by S. N. Medvedeva, V. P. Pavlyuk

“…The study of the level of competitiveness in the field of the tourism industry in the Sevastopol region is carried out on the basis of a sample of 50 enterprises of the tourism industry, determined by the rating of the volume of gross revenues received per year. …”
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Rapid prediction of poly(butylene adipate-co-terephthalate)/poly(glycolic acid) (PBAT/PGA) agricultural films based on UV-accelerated aging tests with applicability to the environm... by Zihan Jia, Minglong Li, Bo Wang, Dongsheng Li, Peng Guo, Mingfu Lyu, Zhiyong Wei, Lin Sang

“…Due to the UV-accelerated aging experimental conditions were well matched with natural environmental factors, the data derived from UAD and NED were highly correlated, indicating the feasibility of predicting film properties based on the UAD test. Random forest algorithm displayed superior stability and high accuracy in constructing degradation prediction model, achieving R2 of 0.984 and 0.979 for training and test sets, respectively. …”
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Study and application of the energy unit cutting theory and punching-blasting synergy permeability enhancement technology in tectonic anomaly areas of coal mines by Jingyu JIANG, Xiaobin DONG, Mintao WEI, Chenghao WANG, Yuanping CHENG, Xiaoning SHI

“…The unit cutting effectively increases the length of the energy-resistant zone in front of the mining work and reduces the risk of operation in the low-high energy transition zone. ④ A numerical model was constructed based on the fluid-solid coupling algorithm to simulate the synergistic effect of controlled directional energy-focused blasting and punching holes. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…Traditional YOLO-series algorithms encounter challenges such as poor robustness in small object detection and significant interference from complex backgrounds. …”
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Scrutinizing the applicability of blockchain in the sustainability of supply chains using an intelligent fuzzy multi criteria decision making by Xinyao Li, Manfeng Liu

“…The MCDM algorithm for the CoCoSo method will also be constructed, and the SFSWPWA and SFSWPWG operators will be established. …”
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