Výsledky vyhľadávania - "DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks"

ConVision Benchmark: A Contemporary Framework to Benchmark CNN and ViT Models

Autori: Shreyas Bangalore Vijayakumar Krishna Teja Chitty-Venkata Kanishk Arya a ďalší

Prispievatelia: Shreyas Bangalore Vijayakumar Krishna Teja Chitty-Venkata Kanishk Arya a ďalší

Zdroj: AI, Vol 5, Iss 3, Pp 1132-1171 (2024)

Predmety: vision transformers, DegreeDisciplines::Engineering::Electrical and Computer Engineering, COVID-19, QA75.5-76.95, 02 engineering and technology, Deep-learning framework, ConVision Benchmark, DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks, Electronic computers. Computer science, convolutional neural networks, Vision transformers, 0202 electrical engineering, electronic engineering, information engineering, PyTorch, Convolutional neural networks, DegreeDisciplines::Engineering::Computational Engineering, deep-learning framework

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/a24facf2cdfe4cbfa2052a3c274c6e8d

Predicting Performance of Microfluidic-Based Alginate Microfibers with Feature-Supplemented Deep Neural Networks

Autori: Clinkinbeard, Nicholus R. Sehlin, Justin Bhatti, Meharpal Singh a ďalší

Prispievatelia: Clinkinbeard, Nicholus R. Sehlin, Justin Bhatti, Meharpal Singh a ďalší

Zdroj: https://doi.org/10.48550/arXiv.2412.08822.

Predmety: DegreeDisciplines::Physical Sciences and Mathematics::Physics::Fluid Dynamics, DegreeDisciplines::Engineering::Mechanical Engineering, DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks, Microfluidic Manufacturing Approach, Materials Processing, Deep Neural Network, Sparse Datasets, Machine Learning, Artificial Intelligence

Popis súboru: application/pdf

Relation: https://dr.lib.iastate.edu/handle/20.500.12876/PrMB4JRz

Dostupnosť: https://dr.lib.iastate.edu/handle/20.500.12876/PrMB4JRz
https://hdl.handle.net/20.500.12876/PrMB4JRz

Moving toward autonomous manufacturing by accelerating hydrodynamic fabrication of microstructures using deep neural networks

Autori: Clinkinbeard, Nicholus R. Hashemi, Nicole Mechanical Engineering

Prispievatelia: Clinkinbeard, Nicholus R. Hashemi, Nicole Mechanical Engineering

Zdroj: Micro and Nano Engineering, Vol 24, Iss, Pp 100268-(2024)

Predmety: Artificial intelligence, Sparse datasets, TK7800-8360, DegreeDisciplines::Engineering::Mechanical Engineering::Manufacturing, Deep neural network, Microfluidic manufacturing approach, DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks, Machine learning, Materials processing, T1-995, Electronics, DegreeDisciplines::Engineering::Electrical and Computer Engineering::Nanotechnology Fabrication, Autonomous manufacturing, Technology (General)

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/3be4dcf7ce2849a09dabb09233bc6ebc

ConVision Benchmark: A Contemporary Framework to Benchmark CNN and ViT Models

Autori: Vijayakumar, Shreyas Bangalore Chitty-Venkata, Krishna Teja Arya, Kanishk a ďalší

Prispievatelia: Vijayakumar, Shreyas Bangalore Chitty-Venkata, Krishna Teja Arya, Kanishk a ďalší

Zdroj: https://doi.org/10.3390/ai5030056.

Predmety: DegreeDisciplines::Engineering::Electrical and Computer Engineering, DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks, DegreeDisciplines::Engineering::Computational Engineering, Convolutional neural networks, Vision transformers, Deep-learning framework, PyTorch, COVID-19, ConVision Benchmark

Popis súboru: application/pdf

Relation: https://dr.lib.iastate.edu/handle/20.500.12876/6wBlG8ar

Dostupnosť: https://dr.lib.iastate.edu/handle/20.500.12876/6wBlG8ar
https://hdl.handle.net/20.500.12876/6wBlG8ar

Federated Learning User Friendly Web App

Autori: Wang, Yixuan Zhang, Wensheng Department of Computer Science a ďalší

Prispievatelia: Wang, Yixuan Zhang, Wensheng Department of Computer Science a ďalší

Predmety: DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks, Flask, Socket-io, Federated Learning

Popis súboru: application/octet-stream; application/pdf

Relation: https://dr.lib.iastate.edu/handle/20.500.12876/105637

Dostupnosť: https://dr.lib.iastate.edu/handle/20.500.12876/105637
https://hdl.handle.net/20.500.12876/105637
https://doi.org/10.31274/cc-20240624-720

Generalized Analytical Estimation of Sensitivity Matrices in Unbalanced Distribution Networks

Autori: Maharjan, Salish Cheng, Rui Wang, Zhaoyu a ďalší

Prispievatelia: Maharjan, Salish Cheng, Rui Wang, Zhaoyu a ďalší

Zdroj: https://doi.org/10.48550/arXiv.2304.09855.

Predmety: DegreeDisciplines::Engineering::Electrical and Computer Engineering::Systems and Communications, DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks, DegreeDisciplines::Engineering::Electrical and Computer Engineering::Controls and Control Theory, DegreeDisciplines::Engineering::Electrical and Computer Engineering::Power and Energy, Distributed energy, resources, linear model, renewables, step regulators, voltage sensitivity, unbalanced distribution networks

Popis súboru: application/pdf

Relation: https://dr.lib.iastate.edu/handle/20.500.12876/jrl86gOr

Dostupnosť: https://dr.lib.iastate.edu/handle/20.500.12876/jrl86gOr
https://hdl.handle.net/20.500.12876/jrl86gOr

Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents

Autori: Lee, Xian Yeow Esfandiari, Yasaman Tan, Kai Liang a ďalší

Prispievatelia: Lee, Xian Yeow Esfandiari, Yasaman Tan, Kai Liang a ďalší

Zdroj: https://doi.org/10.48550/arXiv.2011.07114.

Predmety: DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::Information Security, DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks

Popis súboru: application/pdf

Relation: https://dr.lib.iastate.edu/handle/20.500.12876/avVO5oZr

Dostupnosť: https://dr.lib.iastate.edu/handle/20.500.12876/avVO5oZr
https://hdl.handle.net/20.500.12876/avVO5oZr