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Binbin Ren, Zhaoyuxuan Wang, Kainan Ma, Yiheng Zhou and Ming Liu
Heart rate measurement employing photoplethysmography (PPG) is a prevalent technique for wearable devices. However, the acquired PPG signal is often contaminated with motion artifacts, which need to be accurately removed. In cases where the PPG and accel...
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Min Dong, Dezhen Li, Kaixiang Li and Junpeng Xu
Industrial defect detection methods based on deep learning can reduce the cost of traditional manual quality inspection, improve the accuracy and efficiency of detection, and are widely used in industrial fields. Traditional computer defect detection met...
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Tong Zhang, Chunjiang Liu, Jiaqi Li, Minghui Pang and Mingang Wang
In view of traditional point-line feature visual inertial simultaneous localization and mapping (SLAM) system, which has weak performance in accuracy so that it cannot be processed in real time under the condition of weak indoor texture and light and sha...
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Yanti Ariyanti, Sister Sianturi
Pág. 40 - 45
DNA extraction is a series of processes to separate DNA from other cell components. Extraction is the most crucial early stage in molecular research. There are two methods in DNA extraction: traditional organic extraction and non-organic adoption extract...
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Wei Zhuang, Zhiheng Li, Ying Wang, Qingyu Xi and Min Xia
Predicting photovoltaic (PV) power generation is a crucial task in the field of clean energy. Achieving high-accuracy PV power prediction requires addressing two challenges in current deep learning methods: (1) In photovoltaic power generation prediction...
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Boris Stanoev, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski and Eftim Zdravevski
With the exponential growth of data, extracting actionable insights becomes resource-intensive. In many organizations, normalized relational databases store a significant portion of this data, where tables are interconnected through some relations. This ...
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Ranbing Yang, Yuming Zhai, Jian Zhang, Huan Zhang, Guangbo Tian, Jian Zhang, Peichen Huang and Lin Li
Potato machinery has become more intelligent thanks to advancements in autonomous navigation technology. The effect of crop row segmentation directly affects the subsequent extraction work, which is an important part of navigation line detection. However...
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Yingjie Wang, Lianhong Zhang, Wei Ma, Yanhui Wang, Wendong Niu, Yu Song and Weimin Wang
Accurate quantitative plankton observation is significant for biogeochemistry and environmental monitoring. However, current observation equipment is mostly shipborne, and there is a lack of long-term, large-scale, and low-cost methods for plankton obser...
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Xiaojuan Liu, Shangbo Zhou, Shanxiong Chen, Zelin Yi, Hongyu Pan and Rui Yao
Buckwheat is an important cereal crop with high nutritional and health value. Buckwheat disease greatly affects the quality and yield of buckwheat. The real-time monitoring of disease is an essential part of ensuring the development of the buckwheat indu...
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Liguo Weng, Yiming Xu, Min Xia, Yonghong Zhang, Jia Liu and Yiqing Xu
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the f...
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Pengcheng Shi, Qin Ye and Lingwen Zeng
Herein, we propose a novel indoor structure extraction (ISE) method that can reconstruct an indoor planar structure with a feature structure map (FSM) and enable indoor robot navigation using a navigation structure map (NSM). To construct the FSM, we fir...
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Yusuf Kurt,Lilian Matallana-Ramirez,William Kohlway,Ross Whetten,John Frampton
Pág. e018
Aim of the study: DNA and RNA extraction are still one of the most important and challenging steps of many molecular genetics applications such as Next-Generation Sequencing technologies. In this study, traditional laboratory preparation protocols and co...
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Shang Feng, Haifeng Li, Lin Ma and Zhongliang Xu
In the application of the brain-computer interface, feature extraction is an important part of Electroencephalography (EEG) signal classification. Using sparse modeling to extract EEG signal features is a common approach. However, the features extracted ...
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Juliana Lando Canga,Alfredo Gabriel Buza
Pág. 21 - 31
Objectivou-se analisar os enfrentamentos e contradições existentes nas comunidades de Buco Zau e de Fútila,diante da ação das empresas extratoras de recursos naturais, nomeadamente, madeira e petróleo. Na metodologia detrabalho, destacam-se as narrativas...
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Liu Yang, Gang Wang and Hongjun Wang
Aligned with global Sustainable Development Goals (SDGs) and multidisciplinary approaches integrating AI with sustainability, this research introduces an innovative AI framework for analyzing Modern French Poetry. It applies feature extraction techniques...
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Tao Wang, Jingjing Chen, Li Liu and Lingling Guo
Recently, the deep learning technology has been adopted in the study of traditional village landscape. More precisely, it?s usually used to explore the representation of cultural heritage and the diversity of heritage information. In this study, we compr...
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Saige Lv and Xiong Hu
In order to solve the problems of subjectivity in the extraction of traditional degradation features and incomplete degradation information contained in a single sensor signal, a performance degradation assessment and abnormal health status detection met...
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Xingxing Zhang, Changyu Hu, Hanhan Liu, Ronghua Du, Xiaofeng Zhou and Ling Wang
The relative pose estimation of the space target is indispensable for on-orbit autonomous service missions. Line segment detection is an important step in pose estimation. The traditional line segment detectors show impressive performance under sufficien...
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Wei Xiao, Mingxia Liu and Xubing Chen
The underground intelligent load-haul-dump vehicle (LHD) is a product of the deep integration of traditional LHD with information network technology, automatic controlling and artificial intelligence technology. It gathers the functions of environmental ...
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Liqian Wang, Shuzhen Fan, Yunxia Liu, Yongfu Li, Cheng Fei, Junliang Liu, Bohan Liu, Yakui Dong, Zhaojun Liu and Xian Zhao
The ocean connects all continents and is an important space for human activities. Ship detection with electro-optical images has shown great potential due to the abundant imaging spectrum and, hence, strongly supports human activities in the ocean. A sui...
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