Tri-band vehicle and vessel dataset for artificial intelligence research by Yingjian Liu, Gangnian Zhao, Shuzhen Fan, Cheng Fei, Junliang Liu, Zhishuo Zhang, Liqian Wang, Yongfu Li, Xian Zhao, Zhaojun Liu

“…The features of the dataset are time synchronization and field-of-view consistency. About 60% of the dataset has been manually labeled with object instances to train and evaluate well-established object detection algorithms. …”
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Sequence Control Mechanism for the Handover of Distribution Networks Under Disaster Recovery by Cheng Long, Jian Zhang, Hua Zhang, Xing Liu, Yiwen Gao, Xueneng Su, Shilong Li

“…Then, a family of control sequences is constructed based on the trace function in the finite field. …”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…The effectiveness of the logical brain and associative brain synergy mechanism in the construction of intelligent oil-gas gathering and transportation systems was validated through three case studies: virtual metering of oil wells, production optimization for an oil-gas field, and fault attribution analysis for a transfer station. …”
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Digital Academic Leadership in Higher Education Institutions: A Bibliometric Review Based on CiteSpace by Olaniyi Joshua Olabiyi, Carl Jansen van Vuuren, Marieta Du Plessis, Yujie Xue, Chang Zhu

“…The analysis demonstrates a significant increase in publications over the decade, with the highest concentration in 2024, reflecting growing scholarly interest in this field. Keywords analysis shows “digital leadership”, “digital transformation”, “performance”, and “innovation” as dominant terms, highlighting the field’s evolution from technology-focused approaches to holistic leadership frameworks. …”
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Aided Greenway Design Approach Based on Internet Big Data and AIGC Fine-Tuning Model by Yifan WU, Lu MENG, Liang LI

“…ObjectiveAs China’s urbanization construction enters the stage of quality improvement, landscape design practice presents the development trend of segmentation, customization and specialization. …”
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Support vector neural network based fuzzy hybrid filter for impulse noise identification and removal from gray-scale image by Sagenela Vijaya Kumar, C. Nagaraju

“…Besides significant advantages in the field of the denoising images, several kinds of literature face difficulties in reducing the impulse noise in the image. …”
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Interaction design for virtual-real confrontation training system based on target agent by ZHANG Qi, HUANG Hesong, CAI Ya, JIAO Peng

“…To address these issues, this paper proposes an interaction design method for a LVC confrontation training system based on intelligent target agents, building upon the existing live engagement system: ① Introducing targets as field agent for virtual forces models resolves challenges in real force perception of virtual force and model interactions. ② Utilizing behavior trees as the decision-making algorithm for target virtual forces models facilitates intelligent control of target agents. ③ Employing quintic spline interpolation algorithms to smoothen and denoise low-frequency sampled data from target devices, enabling real-time synchronization of real and virtual data. …”
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A seepage calculation method in geomaterials based on the novel improved DEM-FDM by Xuan Tang, Chong Shi, Chengfu Hu, Lingkai Zhang

“…These results provide a solid theoretical basis to study the geotechnical seepage field and its associated damage mechanisms.…”
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Camouflage Target Detection Method with Mutual Compensation of Local-Global Features by HE Wenhao, GE Haibo

“…In the field of camouflage object detection (COD), the latest proposed methods mainly use the local features of the camouflaged target to complete the COD task. …”
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Determining Parameters of Metal-Halide Perovskites Using Photoluminescence with Bayesian Inference by Manuel Kober-Czerny, Akash Dasgupta, Seongrok Seo, Florine M. Rombach, David P. McMeekin, Heon Jin, Henry J. Snaith

“…Our approach of coupling spectroscopic measurements with advanced computational analysis will help speed up scientific research in the field of optoelectronic materials and devices and exemplifies how carefully constructed computational algorithms can derive valuable plurality of information from simple datasets. …”
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Automated cell structure extraction for 3D electron microscopy by deep learning by Jin Kousaka, Atsuko H. Iwane, Yuichi Togashi

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IDEA: Image database for earthquake damage annotationZenodo by Ilaria Senaldi, Chiara Casarotti, Martina Mandirola, Alessio Cantoni

“…The data article presents the “Image Database for Earthquake damage Annotation (IDEA)”, an extended dataset of annotated real structural damage consisting of more than 5400 images, collected during post-event and ordinary field inspections. The dataset aims to fill the lack of annotated data necessary for the development of deep learning methodologies with structural damage detection and/or classification purposes. …”
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On the strength and failure mechanism of confined pre-holed jointed rock mass via DIC by Wei Wang, Wei Wang, Yundong Bi, Shuo Yang, Shuo Yang

“…For jointed rock mass with anisotropy, stress field and the structure of surrounding rock mass change with the underground construction, for example, during deep-ground tunnel excavation which is associated with ground depth and joint angles. …”
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Support of individual educational trajectories based on the concept of explainable artificial intelligence by I. G. Zakharova, M. S. Vorobeva, Yu. V. Boganyuk

“…The developed computer program automatically generates objective and explainable recommendations based on expert knowledge and predicting results. The algorithm for constructing recommendations is divided into stages and provides for variability in decision making.Scientific novelty. …”
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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…The K-means clustering algorithm is employed to extract the deep geo-engineering characteristics from multi-source LWD data, thereby constructing a lithology label library and categorizing the training and testing datasets. …”
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Optimizing peanut vine-inversion operations via intelligent control and semantic segmentation by Haiyang Shen, Man Gu, Hongguang Yang, Jie Ling, Lili Shi, Feng Wu, Fengwei Gu, Jiazhuang Tan, Zhichao Hu

“…In response to the unstable inversion performance and the lack of intelligent regulation methods in current mechanized peanut harvesting processes, this paper proposes an optimization method that integrates semantic segmentation with intelligent control. First, a field data acquisition system is designed and constructed using a K230 vision module to capture peanut inversion images. …”
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Detection of kidney bean leaf spot disease based on a hybrid deep learning model by Yiwei Wang, Qianyu Wang, Yue Su, Binghan Jing, Meichen Feng

“…To address these challenges, this study constructs the first-ever kidney bean leaf spot disease (KBLD) dataset, filling a significant gap in the field. …”
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Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing by Jong-Hyun Kim, Jung Lee

“…Thin-shell materials are utilized in various fields including simulation/animation based on physics, games, surgical simulation, and virtual reality. …”
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Study on Dust Distribution Law in Open-Pit Coal Mines Based on Depth Variation by Dongmei Tian, Xiyao Wu, Jian Yao, Weiyu Qu, Jimao Shi, Kaishuo Yang, Jiayun Wang

“…A Fluent-based numerical simulation method was employed to construct a depth-dependent dust migration field solving system, aiming to elucidate the three-dimensional coupling mechanism between mining depth and dust dispersion. …”
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Digital Humanities & Large Language Models: Practice and Research in Semantic Retrieval of Ancient Documents by Haoxian WANG, Ziming ZHOU, Feifei DING, Chengfu WEI

“…Utilizing the previously constructed vector engine, the model can efficiently retrieve relevant documents and intelligently sort the search results based on specific algorithms, ensuring that users can quickly obtain the most relevant and valuable information. …”
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