Abstract: To address the issues of high data storage requirements and complex processing in multi-sensor fusion Simultaneous Localization and Mapping (SLAM) systems, this paper proposes an optimized ...
Abstract: Seeds are the most basic and important means of production for agriculture. During the production and processing of seeds, they may undergo potential mechanical damages and mildew ...
Abstract: The accurate extraction of railway tracks is crucial for the development of digital railway systems. However, traditional manual methods for track extraction are both time-consuming and ...
Abstract: With the fast development trend of highly integrated electronic products, as the key technology of 3-D interconnect circuits, the research on monolithic intertier via (MIV) testing ...
Abstract: Medical image segmentation is a key task in medical image analysis, which is widely used in tumor detection, organ segmentation and other fields. However, the annotation of medical image ...
Abstract: With the development of microelectronics manufacturing technology, the reliability level of electronic components has also increased rapidly. The failure rate of common commercial ...
Abstract: In recent years, the advancement of unmanned aerial vehicle (UAV) technology has led to the gradual application of UAV aeromagnetic technology in small-area production for precise ...
Abstract: Strong narrowband signals mixed with weak broadband signals can interfere with the direction estimation of broadband targets using the cross-correlation method of a two-hydrophone array. To ...
In nanoscale particle research, precise control and separation have long been a bottleneck in biotechnology. Researchers at the University of Oulu have now developed a new method that improves ...
Abstract: Human walking movement is realized by bilateral lower limb height coupling. The unilateral lower limb dysfunction imposes great limitations on the patient’s normal activities. This article ...
Abstract: In the era of data information explosion, there are different observations on an object (e.g., the height of the Himalayas) from different sources on the web, social sensing, crowd sensing, ...
Abstract: Real-time monitoring of snow depth is crucial in meteorological forecasting, transportation management, disaster warning, and ecological protection. With the development of deep learning, ...