Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Zhanjun Si,Yijie Pan Conference proceeding

HABIT

書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)




書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開(kāi)度




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications年度引用




書目名稱Advanced Intelligent Computing Technology and Applications年度引用學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋學(xué)科排名

Tincture

Deep Neural Network-Based Intrusion Detection in Internet of Things: A State-of-the-Art Reviewe method to mitigate these threats, encompassing Botnet, DDoS, and Scan attacks. Due to the rapid development of machine learning technology in recent years, deep neural networks (DNNs) emerge as powerful models utilized to significantly enhance the accuracy performance of intrusion detection system

徹底明白

CNN-SENet: A Convolutional Neural Network Model for Audio Snoring Detection Based on Channel Attentixisting technologies face challenges due to the diversity of signals caused by individual physiological differences, as well as the non-linearity and multi-dimensional complexity of the signals themselves, making accurate and robust snoring monitoring difficult. To address these issues, this study p

有角

窩轉(zhuǎn)脊椎動(dòng)物

wall-stress

可用

Improved CNN Model Using Innovative Adaptive-DropMessage for Gomoku Game the CNN framework. This method, combined with techniques including attention mechanisms, residual dense blocks, and depth-wise separable convolutions. The Adaptive-Drop Message method dynamically discards portions of feature map nodes based on loss values, finely controlling the activity of neurons

變形詞

A Survey: Feature Fusion Method for Object Detection Fieldnecessitate rich object representations, such as image classification, semantic segmentation, and object detection. The Feature Pyramid Network (FPN) was proposed in 2017 for object detection, emerged as a groundbreaking work in the area of feature fusion methods. Subsequently, a variety of powerful

antedate

Dual-Branch Collaborative Learning for Visual Question Answeringused graph-based methods for visual reasoning, but graph-based methods cannot perform better reasoning when the connection between the question statement and the visual object is unclear. In this paper, we design a dual-branch network based on collaborative learning that can simultaneously focus on

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