Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

“…Roll-on/roll-off vessels (RO/RO vessels) are playing an increasingly critical role in international automobile transport, facilitating the efficient movement of vehicles and heavy machinery across continents. …”
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Rapid acquisition and surface defects recognition based on panoramic image of small-section hydraulic tunnel by Haoyu Wang, Jichen Xie, Jinyang Fu, Cong Zhang, Dingping Chen, Zhiheng Zhu, Xuesen Zhang

“…In addition, to improve the speed and accuracy of traditional algorithms for tunnel surface defects detection, this paper proposes an improved YOLOv5s-DECA model. The algorithm introduces DenseNet to optimize the backbone feature extraction network and incorporates an efficient channel attention ECA module to make a better extraction of features of defects. …”
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Sedimentary Characteristics of the Sandstone Intervals in the Fourth Member of Triassic Akekule Formation, Tarim Basin: Implications for Petroleum Exploration by Zehua Liu, Ye Yu, Li Wang, Haidong Wu, Qi Lin

“…The fourth member of the Triassic in the Tahe Oilfield, as one of the key strata for clastic rock reservoirs, poses significant challenges to oil and gas exploration due to unclear identification of its depositional environments and sedimentary microfacies. …”
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MEMS and IoT in HAR: Effective Monitoring for the Health of Older People by Luigi Bibbò, Giovanni Angiulli, Filippo Laganà, Danilo Pratticò, Francesco Cotroneo, Fabio La Foresta, Mario Versaci

“…Notably, movement recognition was accomplished using an artificial intelligence model called Random Forest.…”
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Lightweight Detection and Counting of Maize Tassels in UAV RGB Images by Hang Yang, Jiaji Wu, Yi Lu, Yuning Huang, Pinwei Yang, Yurong Qian

“…This study enhances the model’s adaptability to sunlight, enabling high performance under suboptimal conditions and offering insights for real-time intelligent agriculture monitoring with UAV technology.…”
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Technical advances and research directions of borehole geophysical prospecting for coal mines by Jianyuan CHENG, Yu YAN, Yuteng LI, Pan WANG, Rui ZHAO, Bici JIANG

“…Furthermore, it is necessary to establish an integrated borehole geophysical prospecting technical chain that incorporates exploration, detection, and monitoring and construct a 3D, transparent geological model driven by cluster borehole data. These will provide a transparent geological guarantee for safe, efficient, and intelligent coal mining.…”
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Intelligent Detection of Oceanic Front in Offshore China Using EEFD-Net with Remote Sensing Data by Ruijie Kong, Ze Liu, Yifei Wu, Yong Fang, Yuan Kong

“…Experimental results demonstrate that the improved model’s front identification capability is in strong agreement with fronts segmented and annotated using the threshold method, with IoU and weighted Dice scores reaching 98.81% and 95.56%, respectively. …”
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Assessment of skills among women of reproductive age group trained in breast self-examination: A quasiexperimental study by Tanya Singh, Mongjam M. Singh, Shivani Rao, Amod L. Borle

“…Baseline assessment of skills was done and skill-based training provided using videos and training on dummy breast model, followed by assessment of skills in three aspects, namely, identification of images, following steps of BSE and finding lumps in dummy breast model using observation checklist. …”
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Parallel Cross-section Recognition of Geometrical Features for Selected Machine Parts by Marcin Gołaszewski, Marcin Królikowski, Bartosz Powałka

“…The proposed algorithms are optimized to increase efficiency of the process. Initial identification parameters are selected with respect to defined criteria, e.g. identification accuracy, computing power and scanning accuracy. …”
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Intelligent cell images segmentation system: based on SDN and moving transformer by Jia Wu, Yao Pan, Qing Ye, Jing Zhou, Fangfang Gou

“…This enhances diagnostic accuracy and aids in the accurate identification of pathological cells. Our intelligent system offers a reliable tool for medical professionals, improving diagnostic efficiency and accuracy in cytopathologic image analysis. …”
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Apple varieties, diseases, and distinguishing between fresh and rotten through deep learning approaches. by Tao Zhang, Mustafa Mhamed, Qu Zhang, Liling Yang, Z H A O Xiaohui, Gu Haiyan, Zhao Zhang

“…Fourth, following the state of the art, we develop an Optimized Apple Orchard Model (OAOM) with a new loss function named measured focal cross-entropy (MFCE), which assists in improving the proposed model's efficiency. …”
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A review on Water Resource Planning and Management with Special Reference to Groundwater using Remote Sensing and GIS Techniques by S. P. Shinde, V. N. Barai, R. D. Bansod, A. A. Atre, B. K. Gavit, S. A. Kadam

“…GIS technology provides suitable alternatives for the efficient management of large and complex databases. …”
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A Trimming Strategy for Mass Defects in Hemispherical Resonators Based on Multi-Harmonic Analysis by Yimo Chen, Fanrui Kong, Kai Zeng, Xiang Xi, Yan Shi, Dingbang Xiao, Xuezhong Wu

“…Finite element method modeling and analysis revealed that common structural geometric errors significantly introduce the 1st harmonic. …”
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Aggregated approach for interstitial lung diseases classification using attention based CNN and radial basis function neural network by S. Kumarganesh, K.V.M. Shree, P. Rishabavarthani, C. Ganesh, S. Anthoniraj, B. Thiyaneswaran, Lam Dang, K. Martin Sagayam, Linh Dinh, Hien Dang

“…This CT image was analyzed using both radiomic and deep learning features for efficient identification of ILD at an early stage. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. …”
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A Comprehensive Study On Underwater Object Detection Using Deep Neural Networks by K. Samanth, Ramyashree Ramyashree, B. N. Anoop, S. Raghavendra

“…This study leverages deep learning-based object detection techniques to improve underwater waste identification, focusing on the YOLOv8 and YOLOv9 architectures. …”
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SYSTEMATIC FIELD SURVEY ON LIMES TRANSALUTANUS. SĂPATA CASE by Eugen S. Teodor, Magdalena Ștefan, Alexandru Bădescu

“…Data relevance was increased by applying statistical corrections and using complementary investigation methods in order to cover the various available types of land (relief, vegetation, visibility); while data integration was ensured employing a unitary spatial gridded system for fieldwork and also by relating the obtained results to the high resolution digital terrain model of the sites obtained during UAV photogrammetric aerial survey.…”
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Prognostic, oncogenic roles, and pharmacogenomic features of AMD1 in hepatocellular carcinoma by Youliang Zhou, Yi Zhou, Jiabin Hu, Yao Xiao, Yan Zhou, Liping Yu

“…Multidimensional bioinformatic algorithms were utilized to establish a risk score model for ARGs. Results AMD1 expression was notably increased in the majority of cancer types. …”
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Fungal Biodegradation of Procyanidin in Submerged Fermentation by Leidy Johana Valencia-Hernández, Jorge E. Wong-Paz, J. Alberto Ascacio-Valdés, Arely Prado-Barragan, Mónica L. Chávez-González, Cristóbal N. Aguilar

“…Research on the fungal degradation of procyanidins has emerged as an avenue for the efficient use of these by-products. In this study, the degradation and biotransformation of procyanidin is evaluated and comprises three steps: first, the extraction and partial purification of procyanidins from coffee pulp; second, the production of the potential procyanidin-degrading enzyme by submerged fermentation with <i>Aspergillus niger</i> GH1; third, enzymatic extracellular extract evaluation using a model system with commercial procyanidin C1. …”
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Investigation of the effects of chitosan-zinc nanoparticles Ch-ZnO NPs on phenotypic biofilm formation of Acinetobacter baumannii and cytotoxicity assay by Yousif Salih Abdul Jabbar, Umut Gazi, Mais Emad Ahmed

“…This study emphasizes the promise of Ch-ZnO NPs as an efficient option for treating infections resistant to multiple antibiotics.   …”
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