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Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

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發(fā)表于 2025-3-21 19:30:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Neural Information Processing
副標(biāo)題30th International C
編輯Biao Luo,Long Cheng,Chaojie Li
視頻videohttp://file.papertrans.cn/664/663644/663644.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable
描述The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023.?.The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.?.
出版日期Conference proceedings 2024
關(guān)鍵詞pattern recognition; affective and cognitive learning; big data; bioinformatics; brain-machine interface
版次1
doihttps://doi.org/10.1007/978-981-99-8073-4
isbn_softcover978-981-99-8072-7
isbn_ebook978-981-99-8073-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學(xué)科排名




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書目名稱Neural Information Processing年度引用學(xué)科排名




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書目名稱Neural Information Processing讀者反饋學(xué)科排名




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VFIQ: A Novel Model of?ViT-FSIMc Hybrid Siamese Network for?Image Quality Assessmente-art IQA models in the commonly used correlation metrics of PLCC, KRCC, and SRCC. We also demonstrate the usefulness of our VFIQ model in different vision tasks, such as image recovery and generative model evaluation.
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Conference proceedings 2024ICONIP 2023, held in Changsha, China, in November 2023.?.The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, d
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Quantum Autoencoder Frameworks for?Network Anomaly Detectionhod; and third a union of a quantum autoencoder and quantum random forest-based method. The quantum frameworks’ effectiveness in accurately detecting the attacks is evaluated using a publicly available benchmark dataset. Our empirical evaluations demonstrate the improvements in accuracy and F1-score for the three frameworks.
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A Frequency Reconfigurable Multi-mode Printed Antennation, good impedance matching (S11 > ?10?dB) is obtained in several operating bands, and the overall impedance bandwidth covers 2.34–2.58?GHz and 3.11–5.14?GHz. It provides solutions for operation within WiMax, WLAN, and 5G-sub6?GHz.
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