Výsledky vyhľadávania - "Network algorithms"

Fault Tolerance in Time-Sensitive Networking with Mixed-Critical Traffic Autor Ma, Wenhong, Xiao, Xiangzhen, Xie, Guoqi, Guan, Nan, Jiang, Yu, Chang, Wanli

“…As an Ethernet-based communication protocol with timing determinism, TSN (time-sensitive networking) has become a well-recognized promising in-vehicle network…”
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A systematic review of text classification research based on deep learning models in Arabic language Autor Wahdan, Ahlam, AL Hantoobi, Sendeyah, Salloum, Said A., Shaalan, Khaled

“…Classifying or categorizing texts is the process by which documents are classified into groups by subject, title, author, etc. This paper undertakes a…”
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Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing Autor Ma, Jinming, Chen, Jiefei, Li, Xiuhong, Duan, Jiangfei, Duanmu, Haojie, Zhang, Xingcheng, Yang, Chao, Lin, Dahua

“…To guarantee service quality in transformer based large language model (LLM) serving, it is essential to meet the latency constraints of both the prefill phase…”
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Improvement of Creativity and Expressiveness in Advertising Art Based on Neural Network Autor Shen, Luolan, Hu, Yun

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Performance analysis of a degraded PEM fuel cell stack for hydrogen passenger vehicles based on machine learning algorithms in real driving conditions Autor Raeesi, Mehrdad, Changizian, Sina, Ahmadi, Pouria, Khoshnevisan, Alireza

“…•Implementation of several ML techniques to investigate performance of degraded FCV.•The Deep Neural Network algorithm has the most accurate prediction among…”
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Digital twin modeling for district heating network based on hydraulic resistance identification and heat load prediction Autor Zheng, Xuejing, Shi, Zhiyuan, Wang, Yaran, Zhang, Huan, Tang, Zhiyun

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Contention-Free Configured Grant Scheduling for 5G URLLC Traffic Autor Zhang, Tianyu, Hu, Xiaobo Sharon, Han, Song

“…5G networks are being designed to support ultra reliable and low latency communication (URLLC) services in many real-time industrial applications. The…”
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Weighted packet selection for rechargeable links in cryptocurrency networks: Complexity and approximation Autor Schmid, Stefan, Svoboda, Jakub, Yeo, Michelle

“…We consider a natural problem dealing with weighted packet selection across a rechargeable link, which e.g., finds applications in cryptocurrency networks. The…”
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Exploration and generalization in deep learning with SwitchPath activations Autor Di Cecco, Antonio, Papini, Andrea, Metta, Carlo, Fantozzi, Marco, Galfrè, Silvia Giulia, Morandin, Francesco, Parton, Maurizio

“…This work provides a comprehensive theoretical and empirical analysis of SwitchPath, a stochastic activation function that improves learning dynamics by…”
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Work or Sleep: Freshness-Aware Energy Scheduling for Wireless Powered Communication Networks with Interference Consideration Autor Lin, Ling, Ju, Lei, Xue, Chun Jason, Zhou, Mingliang, Zhang, Wei, Zhou, Zimeng

“…This paper explores how to schedule energy to optimize the information freshness in wireless powered communication networks (WPCNs) when considering channel…”
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LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies Autor Odema, Mohanad, Rashid, Nafiul, Demirel, Berken Utku, Faruque, Mohammad Abdullah Al

“…Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs) endure the dilemma of workload distribution within them. Previous…”
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Clinical applications of artificial intelligence in identification and management of bacterial infection: Systematic review and meta-analysis Autor Zubair, Mohammad

“…Pneumonia is declared a global emergency public health crisis in children less than five age and the geriatric population. Recent advancements in deep learning…”
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Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional space Autor Jianxi, Yu

“…Due to the rapid development of services such as computer multi-dimensional space, traditional cellular networks are quantified and diversified, and it is…”
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Robust two-dose vaccination schemes and the directed b-matching problem Autor Segschneider, Jenny, Koster, Arie M.C.A.

“…In light of the recent pandemic and the shortage of vaccinations during their roll-out, questions arose regarding the best strategy to achieve immunity…”
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Network-Based Disease Module Discovery by a Novel Seed Connector Algorithm with Pathobiological Implications Autor Wang, Rui-Sheng, Loscalzo, Joseph

“…Understanding the genetic basis of complex diseases is challenging. Prior work shows that disease-related proteins do not typically function in isolation…”
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Provide a Diagnostic Model Using a Combination of Two Neural Network Algorithms and a Genetic Algorithm Autor Minaei, Farshad, Dosti, Hassan, Salimi Turk, Ebrahim, Golabpour, Amin

“…Introduction: Improvement of technology can increase the use of machine learning algorithms in predicting diseases. Early diagnosis of the disease can reduce…”
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Compact Distributed Certification of Planar Graphs Autor Feuilloley, Laurent, Fraigniaud, Pierre, Montealegre, Pedro, Rapaport, Ivan, Rémila, Éric, Todinca, Ioan

“…Naor M., Parter M., Yogev E.: (The power of distributed verifiers in interactive proofs. In: 31st ACM-SIAM symposium on discrete algorithms (SODA), pp…”
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Hardware Accelerators for Real-Time Face Recognition: A Survey Autor Baobaid, Asma, Meribout, Mahmoud, Tiwari, Varun Kumar, Pena, Juan Pablo

“…Real-time face recognition has been of great interest in the last decade due to its wide and varied critical applications which include biometrics, security in…”
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NFVdeep: adaptive online service function chain deployment with deep reinforcement learning Autor Xiao, Yikai, Zhang, Qixia, Liu, Fangming, Wang, Jia, Zhao, Miao, Zhang, Zhongxing, Zhang, Jiaxing

“…With the evolution of network function virtualization (NFV), diverse network services can be flexibly offered as service function chains (SFCs) consisted of…”
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From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning Autor Malik, Nahiyan, Bzdok, Danilo

“…Deep learning has recently achieved best-in-class performance in several fields, including biomedical domains such as X-ray images. Yet, data scarcity poses a…”
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