Results 1 to 10 of about 27,949,810 (210)
A Dual-Path Small Convolution Network for Hyperspectral Image Classification
Convolutional neural network (CNN) has shown excellent performance in hyperspectral image (HSI) classification. However, the structure of the CNN models is complex, requiring many training parameters and floating-point operations (FLOPs).
Lanxue Dang +4 more
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FALCON2: a web server for high-quality prediction of protein tertiary structures
Background Accurate prediction of protein tertiary structures is highly desired as the knowledge of protein structures provides invaluable insights into protein functions.
Lupeng Kong +4 more
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Analysis and Forecasting of Sales Funnels
This article discusses the use of analysis and forecasting methods for sales funnels to help further decision-making. A number of objective and subjective factors preventing the wide use of various sales funnel forecasting methods are described.
Egor Griva +3 more
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High-resolution energy data from a sustainable industrial production area in Karlsruhe
Understanding and optimizing industrial energy systems requires datasets that capture detailed electrical behavior at high temporal resolution over long time periods.
Jonas Sievers +3 more
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Unmanned aerial vehicles (UAVs) are now widely used in many fields. Due to the randomness of UAV flight height and shooting angle, UAV images usually have the following characteristics: many small objects, large changes in object scale, and complex ...
Liming Zhou +5 more
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ISSEC: inferring contacts among protein secondary structure elements using deep object detection
Background The formation of contacts among protein secondary structure elements (SSEs) is an important step in protein folding as it determines topology of protein tertiary structure; hence, inferring inter-SSE contacts is crucial to protein structure ...
Qi Zhang +6 more
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Adaptive Anchor Networks for Multi-Scale Object Detection in Remote Sensing Images
Accurate and effective object detection in remote sensing images plays an extremely important role in marine transport, environmental monitoring and military operations.
Miaohui Zhang +4 more
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Dubhe: a deep-learning-based B5G coverage analysis method
In recent years, with the rapid development of various technologies such as the Internet of Things and the Internet, the demand for massive device connections and a variety of differentiated new business applications has continued to increase.
Haoyan Xu, Xiaolong Xu, Fu Xiao
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Satellite Attitude Anomaly Detection in Ground Data Processing
In Earth observing satellite data processing, geometric image processing is the first and foremost step in generating accurate data products. The satellite’s attitude plays a crucial role in acquiring planned images, and any anomaly in attitude ...
D. Sudheer Reddy +2 more
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Analysis of the merged quasi-geoid of neighbouring areas
Employing the merged quasi-geoid, we analyses the causes of systematic errors in modelling of quasi-geoid of neighbouring areas in the paper, and the efficient method is introduced to improve the accuracy of quasi-geoid.
Chunxi Guo +6 more
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