Cancer is the unchecked spread of aberrant cells throughout the body. Cancer is a general word for a set of diseases brought on by the growth of abnormal cells in various bodily parts. Lung cancer, breast cancer, skin...
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Artificial intelligence (AI), as a cutting-edge technology, has shown great potential in various fields. With the rapid development of AI technology, the academic evaluation of graduate students is important. In this ...
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For underwater weak signal detection, a lot of research focuses on extracting useful signal information under strong noise that using stochastic resonance, but it is basically carried out in the Gaussian white noise e...
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A novel acquisition scheme of pseudo-noise (PN) codes is proposed for spreading satellite communication systems relying on the proposed multi-voter model of this paper. Based on the proposed model, the acquisition of ...
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ISBN:
(纸本)9798400716959
A novel acquisition scheme of pseudo-noise (PN) codes is proposed for spreading satellite communication systems relying on the proposed multi-voter model of this paper. Based on the proposed model, the acquisition of PN codes can be attributed to a voting and selecting mechanism to pick out the erroneous chips. Although message passing algorithm (MPA) is a feasible algorithm for decoding PN codes, MPA does not get good detection performance due to the limited number of parity check equations in the acquisition scheme. To overcome the negative impact of the limited number of parity check equations, this paper proposes single-voter and multi-voter models, which combine chip and sequence estimation on the basis of the chip-flipping (CF). The experimental results show that the detection performance of the proposed method of N =30 is improved by 2 dB compared with MAP-based method and 4 dB compared with LEAP-based method at the detection probability 99%.
To solve the problem of uneven illumination, overlapping droplets, and other factors affecting the detection accuracy in detecting the droplet size by a visual image, an image processing for droplet size image detecti...
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In this paper, a neural network optimization method for analyzing rotor failure problems in industrial engineering is established. A new fault detection method based on neural network is proposed for the traditional f...
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In the field of military target recognition, in order to solve the problems of easy loss of small target detection results and slow detection speed, this paper proposes a target recognition detection algorithm YOLO-G2...
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The proceedings contain 81 papers. The topics discussed include: advancements in sensor technology and computer vision for enhanced road safety and anomaly detection using machine learning approach;video chat using We...
ISBN:
(纸本)9798350306989
The proceedings contain 81 papers. The topics discussed include: advancements in sensor technology and computer vision for enhanced road safety and anomaly detection using machine learning approach;video chat using WebRTC with in-built sign language detection;revolutionizing agriculture: innovating an autonomous robot for early plant disease detection;advanced driving assistance system using computer vision and deep learning algorithms;a novel approach of image caption generator using deep learning;ensemble deep learning approaches for liver tumor detection and prediction;fully automated WSI with CNN model for breast cancer prediction using deep learning;leveraging DistilBERT and BERT for the detection of online sexism: a comparative analysis;and enhancing credit card fraud detection: analyzing time and amount distributions with computational intelligence algorithms.
In this paper, the control mode and working requirements of the drag-free system are introduced. The dynamic model of drag-free satellite with single mass is established along the direction of the sensitive axis in th...
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