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检索条件"任意字段=Conference on Neural Network and Distributed Processing"
2987 条 记 录,以下是181-190 订阅
排序:
PI-Parking: A Physics Informed neural network Approach for Parking Availability Prediction  29
PI-Parking: A Physics Informed Neural Network Approach for P...
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29th IEEE International conference on Parallel and distributed Systems, ICPADS 2023
作者: Dong, Yijun Kuang, Haoxuan Li, Jun Sun Yat-Sen University School of Intelligent Systems Engineering Shenzhen China
Parking availability prediction is an important part of urban intelligent transportation systems (ITS), which allows drivers to be informed of the parking availability in advance, thereby reducing cruising for parking... 详细信息
来源: 评论
A Bit Level Acceleration of Mixed Precision neural network  29
A Bit Level Acceleration of Mixed Precision Neural Network
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29th IEEE International conference on Parallel and distributed Systems, ICPADS 2023
作者: Qiu, Dehui Wang, Jing Hou, Yi Zhang, Weigong Gao, Lan Capital Normal University Information Engineering College Beijing China Renmin University of China School of Information Beijing China
With the growth of the convolutional neural network (CNN) parameters, the hardware resources become limited when deploying CNN models. Single bit-width quantization may lead to degradation of accuracy, while mixed-pre... 详细信息
来源: 评论
Graph neural networks for Sound Source Localization on distributed Microphone networks  48
Graph Neural Networks for Sound Source Localization on Distr...
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48th IEEE International conference on Acoustics, Speech and Signal processing, ICASSP 2023
作者: Grinstein, Eric Brookes, Mike Naylor, Patrick A. Imperial College London Department of Electrical and Electronic Engineering United Kingdom
distributed Microphone Arrays (DMAs) present many challenges with respect to centralized microphone arrays. An important requirement of applications on these arrays is handling a variable number of input channels. We ... 详细信息
来源: 评论
Innovative Approaches for Enhanced Security in Cloud network Traffic: An Adaptive Deep Learning Framework  1
Innovative Approaches for Enhanced Security in Cloud Network...
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1st International conference on Software, Systems and Information Technology, SSITCON 2024
作者: Mala, K. Annapurna, H.S. Cit Gubbi Department of Ise Tumkur India Ssit Saahe University Department of Ise Tumkur India
The rapid growth of cloud computing has introduced significant security challenges, particularly in protecting network traffic from advanced cyber threats. This research presents an adaptive deep learning framework to... 详细信息
来源: 评论
Brand Logo Image Classification Based on Deep Convolutional Generative Adversarial network  3
Brand Logo Image Classification Based on Deep Convolutional ...
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3rd IEEE International conference on distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024
作者: Wang, Yang Guangzhou Institute Of Science Technology Guangzhou China
Brand logo image examines how a critical dimension of logo design, namely the naturalness of the logo color, influences brand design induced by the logo. However, high complexity is observed, requiring higher quality ... 详细信息
来源: 评论
Combination of Hybrid Feature Selection and LSTM-AE neural network for Enhancing DDOS Detection in SDN  20
Combination of Hybrid Feature Selection and LSTM-AE Neural N...
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20th International Computer conference on Wavelet Active Media Technology and Information processing, ICCWAMTIP 2023
作者: Setitra, Mohamed Ali Agbley, Bless Lord Y. El Abidine Bensalem, Zine Fan, Mingyu University of Electronic Science and Technology of China Chengdu611731 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China
distributed Denial of Service (DDoS) attacks pose significant threats in Software-Defined network (SDN) environments. To enhance DDoS detection in SDN, this study presents a novel approach that combines Hybrid Feature... 详细信息
来源: 评论
PS-Based Heterogeneous Computing Framework  6
PS-Based Heterogeneous Computing Framework
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6th International conference on Next Generation Data-Driven networks, NGDN 2024
作者: Guo, Xi He, Ming Qin, Shouhao Wang, Dexuan Li, Chenjun China United Network Communications Corporation Research Institute Beijing China GuoChuang Software Co. Ltd. Hefei China
In the current heterogeneous computing environment, different types of accelerated computing resources such as GPU(Graphics processing Unit) and NPU(neural processing Unit) coexist in the cluster. However, because the... 详细信息
来源: 评论
Decentralised Biomedical Signal Classification using Early Exits  21
Decentralised Biomedical Signal Classification using Early E...
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21st IEEE Interregional NEWCAS conference (NEWCAS)
作者: Li Xiaolin Vandierendonck, Hans Nikolopoulos, Dimitrios S. Ji, Bo Cardiff, Barry John, Deepu Univ Coll Dublin Dublin Ireland Queens Univ Belfast Belfast Antrim North Ireland Virginia Tech Blacksburg VA USA
This paper presents a decentralised signal classification approach for data acquired using Internet of Things (IoT) wearable sensors. Traditionally, data from IoT sensors are processed in a centralised fashion, and in... 详细信息
来源: 评论
distributed Online Convex Optimization with Compressed Communication  36
Distributed Online Convex Optimization with Compressed Commu...
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36th conference on neural Information processing Systems (NeurIPS)
作者: Tu, Zhipeng Wang, Xi Hong, Yiguang Wang, Lei Yuan, Deming Shi, Guodong Chinese Acad Sci Acad Math & Syst Sci Beijing Peoples R China Univ Sydney Australian Ctr Field Robot Sch AMME Sydney Australia Tongji Univ Coll Control Sci & Engn Shanghai Peoples R China Zhejiang Univ Coll Control Sci & Engn Hangzhou Peoples R China Nanjing Univ Sci & Technol Sch Automat Nanjing Peoples R China
We consider a distributed online convex optimization problem when streaming data are distributed among computing agents over a connected communication network. Since the data are high-dimensional or the network is lar... 详细信息
来源: 评论
BBSN: Bilateral-Branch Siamese network for Imbalanced Multi-label Text Classification  29th
BBSN: Bilateral-Branch Siamese Network for Imbalanced Multi-...
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29th International conference on neural Information processing
作者: Zhao, Jiangjiang Li, Jiyz Fukumoto, Fumiyo Hangzhou Dianzi Univ Hangzhou Peoples R China Univ Yamanashi Kofu Yamanashi Japan
In multi-label text classification, the numbers of instances in different categories are usually extremely imbalanced. How to learn good models from imbalanced data is a challenging task. Some existing works tackle it... 详细信息
来源: 评论