Detecting cancer is a crucial step in the prognosis and treatment of most cancers and consequently, there has been significant progress in the development of automatic strategies for detecting cancer. One approach tha...
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The rise in network security awareness has led to an exponential increase in the use of encrypted traffic. While encryption protects user privacy, it also presents significant challenges for network security detection...
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Thanks to the rapid progress of automatic driving technology, the problem of object detection in automatic driving scenarios has become one of the hottest research topics at present. Automatic driving scenarios face d...
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Impolite word detection, also known as rude word detection, is a natural language processing (NLP) technique designed to identify inappropriate or offensive language in texts and various media. This technique aims to ...
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The proceedings contain 320 papers. The topics discussed include: research and optimization of intra-node communication operator performance based on domestic heterogeneous platforms;research on underwater spread spec...
ISBN:
(纸本)9781510680449
The proceedings contain 320 papers. The topics discussed include: research and optimization of intra-node communication operator performance based on domestic heterogeneous platforms;research on underwater spread spectrum communication system in ice-covered water based on energy monitoring technology;lateral wave removal of time-of-flight diffraction based on peak detection and correlation analysis;analysis of the optimal jamming method to direct sequence spread spectrum communication systems;research on groundwater impurity identification based on big data fusion;3-dimesional stepped-frequency through-wall imaging based on compressive sensing;text implication recognition with multi-round and multi-interaction inference mechanism based on deep learning;student classroom behavior recognition based on bidirectional feature fusion;the progressive learning strategy for boosting postoperative complication prediction;and knowledge graph self-supervised contrastive learning for recommendation.
As people's awareness of ecological protection increases, bird sound monitoring has received more and more attention. Among them, using bird sound monitoring as part of audio recognition has become a hot research ...
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The Stock Market Prediction System using Intelligent Learning Scheme (SMS-ILS) presented in this study integrates advanced methodologies to enhance the accuracy and reliability of stock market predictions. The system ...
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This study explores the application of deep facial recognition technology to identify kinship patterns among strangers using convolutional neural networks (CNNs). Utilizing the VGGFace2 dataset, a deep CNN model was d...
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multi-frequency steady-state visual evoked potential (SSVEP) aims to increase the number of targets in SSVEP-based brain-computer interfaces. However, the effectiveness of multi-frequency SSVEP when there is a large n...
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ISBN:
(纸本)9798350324471
multi-frequency steady-state visual evoked potential (SSVEP) aims to increase the number of targets in SSVEP-based brain-computer interfaces. However, the effectiveness of multi-frequency SSVEP when there is a large number of targets compared to traditional single-frequency SSVEP has not been demonstrated to date. It is also unclear the degree to which multi-frequency SSVEP outperforms single-frequency SSVEP as the number of targets increases. This study directly compares single-frequency and dual-frequency SSVEPs for different numbers of targets within a fixed (5 Hz) frequency range. Our results demonstrate that dual-frequency SSVEP maintains its performance at a high level of accuracy in the range while single-frequency SSVEP performance falls as the number of targets becomes very high within the given frequency range. In this particular study, dual-frequency SSVEP has a clear advantage when there are more than 120 targets in a 5 Hz frequency range.
The healthcare field is undergoing a profound shift, with deep learning in AI increasingly augmenting medical expertise in complex and challenging tasks. Our research addresses the challenging task of chest X-ray imag...
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