Cargando…

Quantum readout and gradient deep learning model for secure and sustainable data access in IWSN

The industrial wireless sensor network (IWSN) is a surface-type of wireless sensor network (WSN) that suffers from high levels of security breaches and energy consumption. In modern complex industrial plants, it is essential to maintain the security, energy efficiency, and green sustainability of th...

Descripción completa

Detalles Bibliográficos
Autor principal:	Alzubi, Omar A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2022
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202624/ https://www.ncbi.nlm.nih.gov/pubmed/35721415 http://dx.doi.org/10.7717/peerj-cs.983

Ejemplares similares

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
por: Bakasa, Wilson, et al.
Publicado: (2023)

An Introductory Review of Deep Learning for Prediction Models With Big Data
por: Emmert-Streib, Frank, et al.
Publicado: (2020)

Learning with privileged and sensitive information: a gradient-boosting approach
por: Yan, Siwen, et al.
Publicado: (2023)

Effects of data count and image scaling on Deep Learning training
por: Hirahara, Daisuke, et al.
Publicado: (2020)

SFedChain: blockchain-based federated learning scheme for secure data sharing in distributed energy storage networks
por: Meng, Mingming, et al.
Publicado: (2022)

Crop genomic selection with deep learning and environmental data: A survey
por: Jubair, Sheikh, et al.
Publicado: (2023)

Editorial: Deep learning with limited labeled data for vision, audio, and text
por: Orescanin, Marko, et al.
Publicado: (2023)

Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT
por: Benítez-Andrades, José Alberto, et al.
Publicado: (2022)

Discovering generative models from event logs: data-driven simulation vs deep learning
por: Camargo, Manuel, et al.
Publicado: (2021)

Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning
por: Valmaggia, Philippe, et al.
Publicado: (2022)

Deep learning prediction of two-dimensional ocean dynamics with wavelet-compressed data
por: Muhamed Ali, Ali, et al.
Publicado: (2022)

SRflow: Deep learning based super-resolution of 4D-flow MRI data
por: Shit, Suprosanna, et al.
Publicado: (2022)

Machine learning and deep learning approaches in IoT
por: Javed, Abqa, et al.
Publicado: (2023)

DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
por: Li, Ting, et al.
Publicado: (2021)

Poultry diseases diagnostics models using deep learning
por: Machuve, Dina, et al.
Publicado: (2022)

Corrigendum: DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representation
por: Li, Ting, et al.
Publicado: (2022)

Corrigendum: Poultry diseases diagnostics models using deep learning
por: Machuve, Dina, et al.
Publicado: (2022)

Deep learning methods for inverse problems
por: Kamyab, Shima, et al.
Publicado: (2022)

Explainable deep learning in plant phenotyping
por: Mostafa, Sakib, et al.
Publicado: (2023)

Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning
por: Janjua, Sadaf Hussain, et al.
Publicado: (2021)

Frost prediction using machine learning and deep neural network models
por: Talsma, Carl J., et al.
Publicado: (2023)

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
por: Czech, Johannes, et al.
Publicado: (2020)

Deep Learning for Diagnosing and Segmenting Choroidal Neovascularization in OCT Angiography in a Large Real-World Data Set
por: Wang, Jie, et al.
Publicado: (2023)

Stochastic Learning in Kolkata Paise Restaurant Problem: Classical and Quantum Strategies
por: Chakrabarti, Bikas K., et al.
Publicado: (2022)

A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches
por: Hameed, Shilan S., et al.
Publicado: (2021)

A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset
por: Elzeki, Omar M., et al.
Publicado: (2021)

Knowledge distillation in deep learning and its applications
por: Alkhulaifi, Abdolmaged, et al.
Publicado: (2021)

An Empirical Investigation Into Deep and Shallow Rule Learning
por: Beck, Florian, et al.
Publicado: (2021)

Deep Ensemble Learning for Retinal Image Classification
por: Ho, Edward, et al.
Publicado: (2022)

AI Technologies, Privacy, and Security
por: Elliott, David, et al.
Publicado: (2022)

Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system
por: Mokbal, Fawaz Mahiuob Mohammed, et al.
Publicado: (2020)

Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models
por: Guo, Ruihua, et al.
Publicado: (2020)

Deep Learning-Based Modeling of the Dark Adaptation Curve for Robust Parameter Estimation
por: De Silva, Tharindu, et al.
Publicado: (2022)

IoT based smart home automation using blockchain and deep learning models
por: Umer, Muhammad, et al.
Publicado: (2023)

Deep Learning for Understanding Satellite Imagery: An Experimental Survey
por: Mohanty, Sharada Prasanna, et al.
Publicado: (2020)

Sensitivity of deep learning applied to spatial image steganalysis
por: Tabares-Soto, Reinel, et al.
Publicado: (2021)

Deep Learning of Histopathology Images at the Single Cell Level
por: Lee, Kyubum, et al.
Publicado: (2021)

On Consensus-Optimality Trade-offs in Collaborative Deep Learning
por: Jiang, Zhanhong, et al.
Publicado: (2021)

Deep Active Learning via Open-Set Recognition
por: Mandivarapu, Jaya Krishna, et al.
Publicado: (2022)

Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma
por: Thiéry, Alexandre H., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_5hvfi3tthgg9qeiip6o0018v37