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José Arturo Olguín-Rojas, Lucio Abel Vázquez-León, Miguel Palma, María Teresa Fernández-Ponce, Lourdes Casas, Gerardo Fernández Barbero and Guadalupe del Carmen Rodríguez-Jimenes
Inadequately managed agricultural waste significantly impacts the environment, health, and economy. This pollution stems from the underutilization, inadequate awareness, and insufficient treatment of agricultural waste. Fruit and vegetable wastes are val...
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Yuan Guo, Jian Zhou, Xicheng Li, Youchen Tang and Zhicheng Lv
High-definition (HD) maps serve as crucial infrastructure for autonomous driving technology, facilitating vehicles in positioning, environmental perception, and motion planning without being affected by weather changes or sensor-visibility limitations. M...
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Stephan van Gasselt and Andrea Naß
The field of planetary mapping and cartography builds almost exclusively on remote-sensing data and can be defined by three distinct concepts: systematic imaging as performed through spacecraft surveying, reference mapping as performed through the compil...
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Xianshan Liu, Xiaolei Luo, Shaowei Liu, Pugang Zhang, Man Li and Yuhua Pan
The study of the seepage and heat transfer law of three-dimensional rough fractures is of great significance in improving the heat extraction efficiency of underground thermal reservoirs. However, the phase transition effects of fluids during the thermal...
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Dejiang Wang, Quanming Jiang and Jinzheng Liu
In the field of building information modeling (BIM), converting existing buildings into BIM by using orthophotos with digital surface models (DSMs) is a critical technical challenge. Currently, the BIM reconstruction process is hampered by the inadequate...
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Liufeng Tao, Kai Ma, Miao Tian, Zhenyang Hui, Shuai Zheng, Junjie Liu, Zhong Xie and Qinjun Qiu
The efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matc...
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Dominik Warch, Patrick Stellbauer and Pascal Neis
In the digital transformation era, video media libraries? untapped potential is immense, restricted primarily by their non-machine-readable nature and basic search functionalities limited to standard metadata. This study presents a novel multimodal metho...
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Jia-Ling Xie, Wei-Feng Shi, Ting Xue and Yu-Hang Liu
The fault detection and diagnosis of a ship?s electric propulsion system is of great significance to the reliability and safety of large modern ships. The traditional fault diagnosis method based on mathematical models and expert knowledge is limited by ...
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Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
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Zongshun Wang, Ce Li, Jialin Ma, Zhiqiang Feng and Limei Xiao
In this study, we introduce a novel framework for the semantic segmentation of point clouds in autonomous driving scenarios, termed PVI-Net. This framework uniquely integrates three different data perspectives?point clouds, voxels, and distance maps?exec...
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