Výsledky vyhledávání - "network architecture"

Hybrid Space and Submarine Architecture to Ensure Information Security of Telecommunications (HEIST)

Autoři: Boschetti, Nicolo Koyyada, Anurag Downs, Barrett a další

Zdroj: IEEE Access. 13:193765-193785

Témata: Communication Networks, Non Terrestrial Networks, Satellite Communications, Situational Awareness, Systems Engineering, Undersea Cables, Architecture, Computer architecture, Network architecture, Network security, Secure communication, Submarine cables, Submarines, Communications networks, Cyber threats, Global connectivity, Non terrestrial network, Submarine-cables, Terrestrial networks, Undersea cable, Undersea communications, Satellite communication systems

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28944
https://doi.org/10.1109/ACCESS.2025.3631359

Reproducing and Solving a Fallback Issue in TCP Prague

Autoři: Lukas Hagen Anna Brunstrom

Zdroj: Proceedings of the Applied Networking Research Workshop on ZZZ. :92-98

Témata: Explicit congestion notification, Computer Sciences, Active queuing management, L4S, Network architecture, Congestion control, Queuing delay, Low latency, Internet architecture, Reproducibilities, Telekommunikation, Queueing theory, Datavetenskap (datalogi), Queueing networks, Telecommunications, Congestion control (communication), Fall backs, TCP, Traffic congestion

Popis souboru: application/pdf

Přístupová URL adresa: http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-106653

P4-QUPF: A P4-Based QoS Framework for 5G-UPF

Autoři: Iqbal, Muhammad Shahid Elangovan, Muthuraman Chen, Chien a další

Zdroj: International Journal of Network Management. 35(6)

Témata: Bandwidth, Computer hardware, Data handling, Linux, Network architecture, Wireless networks, 5g core, 5g QoS, Data packet, Data planes, Data-plane, Free5gc, Programmable hardware, User data, User plane function, User planes, 5G mobile communication systems, Application programs, Computer Science, Datavetenskap

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-107417
https://doi.org/10.1002/nem.70028

Wave2Graph: integrating spectral features and correlations for graph-based learning in sound waves

Autoři: Hoang, Van-Truong Tran, Khanh-Tung Vu, Xuan-Son a další

Zdroj: AI OPEN. 5:115-125

Témata: Wave2Graph, Graph neural network, Correlation, Sound signal processing, Neural network architecture

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-232448
https://doi.org/10.1016/j.aiopen.2024.08.004

Logic Neural Networks for Efficient FPGA Implementation

Autoři: Iván Ramírez Francisco J. Garcia-Espinosa David Concha a další

Zdroj: BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
Universidad Rey Juan Carlos

Témata: Neurons, Logic functions, Hardware, Logic, Network architecture, Training, Field programmable gate arrays, Logic gates, Biological neural networks, Accuracy

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/10115/41542

ModNEF : An Open Source Modular Neuromorphic Emulator for FPGA for Low-Power In-Edge Artificial Intelligence

Autoři: Aurélie Saulquin Mazdak Fatahi Pierre Boulet a další

Přispěvatelé: Aurélie Saulquin Mazdak Fatahi Pierre Boulet a další

Zdroj: ACM Transactions on Architecture and Code Optimization. 22:1-24

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR], Neuromorphic accelerator, Artificial Intelligence, Spiking Neural Network, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Spiking Neural Network FPGA Neuromorphic accelerator Edge Computing Artificial Intelligence Spiking Neural Network Architecture Parallel Architecture Embbeded Artificial Intelligence, Edge Computing, Embbeded Artificial Intelligence, Parallel Architecture, FPGA, Spiking Neural Network Architecture, [INFO.INFO-ES] Computer Science [cs]/Embedded Systems

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05033844v1/document
https://hal.science/hal-05033844v1
https://doi.org/10.1145/3730581

Aerial Reconfigurable Intelligent Surface-Enabled Sagin With Lstm-Enhanced Drl Model

Autoři: Prabhashana, Sasinda C. Huynh, Dang Van Singh, Keshav a další

Zdroj: IEEE International Conference on Communications. :3888-3893

Témata: Antennas, Computation offloading, Computational efficiency, Mobile telecommunication systems, Natural resources management, Network architecture, Nonlinear programming, Orbits, Resource allocation, Unmanned aerial vehicles (UAV), Aerial vehicle, Air grounds, Communications systems, Deterministics, Edge computing, Integrated networks, Orbitals, Policy gradient, Reconfigurable, Short term memory, Long short-term memory

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28815
https://bth.diva-portal.org/smash/get/diva2:2009132/FULLTEXT01.pdf

Variable Binding for Sparse Distributed Representations: Theory and Applications

Autoři: Frady, Edward Paxon Kleyko, Denis Sommer, Friedrich T

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 34(5):2191-2204

Témata: Brain, Compressed sensing, Convolution, Data structures, Matrix algebra, Network architecture, Neural networks, Neurons, Tensors, Trees (mathematics), Cognition, Cognitive reasoning, Compound, Compressed-Sensing, Distributed representation, Sparse block code, Sparse distributed representation, Sparse matrices, Tensor product variable binding, Tensor products, Variable binding, Vector symbolic architecture ., Vectors, artificial neural network, brain, cognition, nerve cell, physiology, problem solving, Neural Networks, Computer, Problem Solving

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-67764
https://doi.org/10.1109/TNNLS.2021.3105949

SinkholeNet: A novel RGB-slope sinkhole dataset and deep weakly-supervised learning framework for sinkhole classification and localization

Autoři: Yavariabdi, Amir Kusetogullari, Hüseyin Orhan, Osman a další

Zdroj: Egyptian Journal of Remote Sensing and Space Science. 26(4):966-973

Témata: Multimodal deep learning, RGB-slope dataset polariton, Sinkhole classification, Sinkhole localization, Weakly-supervised, Antennas, Classification (of information), Convolutional neural networks, Deep learning, Network architecture, Learning frameworks, Localisation, Multi-modal, Polaritons, Weakly supervised learning, data set, image processing, remote sensing, sinkhole, supervised learning, Polariton

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-25688
https://doi.org/10.1016/j.ejrs.2023.10.006

On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

Autoři: Wang, Cheng-Xiang You, Xiaohu Gao, Xiqi a další

Zdroj: IEEE Communications Surveys and Tutorials. 25(2):905-974

Témata: 6G mobile communication, 5G mobile communication, Wireless communication, Industries, Tutorials, Millimeter wave communication, Research and development, 6G vision, 6G key performance indicators (KPIs), 6G application scenarios, 6G network architecture, 6G key technologies, 6G testbeds, 6G challenges

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-195798
https://liu.diva-portal.org/smash/get/diva2:1775943/FULLTEXT01.pdf

Collaborative approaches to enhancing smart vehicle cybersecurity by AI-driven threat detection

Autoři: Ali, Syed Atif Din, Salwa

Zdroj: ThyssenKrupp techforum. 2025:1-5

Témata: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, C.2.1 Network Architecture and Design, Cryptography and Security (cs.CR)

Přístupová URL adresa: http://arxiv.org/abs/2501.00261

Serverless computing and container synergy in network architectures

Autoři: Vora, Vaibhav Anil

Zdroj: World Journal of Advanced Research and Reviews. 26:3429-3438

Témata: Serverless-Container Integration, Edge Computing Orchestration, Dynamic Network Architecture, Multi-Tenant Security Isolation, Resource Allocation Optimization

The Use of a Convolutional Neural Network in Detecting Soldering Faults from a Printed Circuit Board Assembly

Autoři: Bilal Akhtar, Muhammad

Zdroj: HighTech and Innovation Journal. 3(1):1-14

Témata: Automatic Optical Inspection, Deep Learning, Neural Network, Object Detection, Printed Circuit Board Assembly, YOLO, Complex networks, Convolution, Fault detection, Network architecture, Neural networks, Object recognition, Optical data processing, Printed circuit boards, Soldering, Timing circuits, Convolutional neural network, Detecting defects, Illumination system, Neural network architecture, Neural-networks, Objects detection, Printed circuit boards assemblies

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323798
https://doi.org/10.28991/HIJ-2022-03-01-01

A deep hybrid inception network model with entropy based attention for automated iron ore image characterization

Autoři: Shama Firdaus Shamama Anwar Subrajeet Mohapatra

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Témata: Attention channel, Deep learning, Directed acyclic graph network architecture, Feature fusion, Hybrid inception, Iron ore, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/399cbe18479648cea109118d1744c790

Principle of Architecture, Protocol, and Algorithms for CoG-MIN

Autoři: Li, Hui Bai, He

Témata: Future Network Architecture, Co-governed Multiple Identifier Network, Cyber Security, Blockchain, Network Evolution, Computer networking and communications, Network security, Data encryption, Databases, Computer hardware

Popis souboru: application/pdf

Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/104174

Deep Reinforcement Learning for Context-Aware Online Service Function Chain Deployment and Migration over 6G Networks

Autoři: Solomon Fikadie Wassie Antonio Di Maio Torsten Braun

Zdroj: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. :1361-1370

Témata: Deep reinforcement learning, 6G Network Architecture, Cloud Continuum Framework, Service Orchestrator

Precise Recognition and Feature Depth Analysis of Tennis Training Actions Based on Multimodal Data Integration and Key Action Classification

Autoři: Weichao Yang

Zdroj: IEEE Access, Vol 13, Pp 25409-25418 (2025)

Témata: multimodal data, convolutional neural network architecture, feature extraction, Electrical engineering. Electronics. Nuclear engineering, ASE-CNN, Tennis action recognition, TK1-9971

Přístupová URL adresa: https://doaj.org/article/5898aef096c54827b8c79499cf417a98

Real-Time Autonomous Driving: A Unified Single-Stage Multi-Task Network Architecture

Autoři: S. Raghavendra Rajalekshmi Kishore S. K. Abhilash a další

Zdroj: IEEE Access, Vol 13, Pp 96001-96017 (2025)

Témata: single network architecture, static segmentation, Autonomous driving, depth estimation, Electrical engineering. Electronics. Nuclear engineering, dynamic segmentation, TK1-9971

Přístupová URL adresa: https://doaj.org/article/add39f9747eb486c9c82edc13c02a943

Low-Latency Neural Network for Efficient Hyperspectral Image Classification

Autoři: Chunchao Li Jun Li Mingrui Peng a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 7374-7390 (2025)

Témata: hyperspectral image classification (HSIC), inference latency, Ocean engineering, Arithmetic intensity (AI), QC801-809, split convolution, Geophysics. Cosmic physics, network architecture search, TC1501-1800

Přístupová URL adresa: https://doaj.org/article/d10aef4019c4448ca17bdf0453948eb8

SCA-CVENet: A Spatial-Channel-Attention Collaborative Cost Volume Enhancement Network for High-Quality Depth Reconstruction

Autoři: Mao Tian Xudong Zhao Xiong Lv

Zdroj: IEEE Access, Vol 13, Pp 58264-58280 (2025)

Témata: Depth prediction, cascade network architecture, channel attention weight (CAW), multi-view depth map reconstruction, spatial attention weight (SAW), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/297e62578d744ebbac6558a19f9b6b67