☆ 4.7 Article

Desensitization method of meteorological data based on differential privacy protection

JOURNAL OF CLEANER PRODUCTION (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Ecology

Automatic stomata recognition and measurement based on improved YOLO deep learning model and entropy rate superpixel algorithm

Fan Zhang et al.

Summary: This study proposes a deep learning-based method for automatically identifying, counting, and measuring maize leaf stomata. By improving the YOLO deep learning model and using an entropy rate superpixel algorithm, accurate measurement of stomatal parameters is achieved. Experimental results demonstrate high recognition precision and parameter measurement accuracy of the method.

ECOLOGICAL INFORMATICS (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

PregGAN: A prognosis prediction model for breast cancer based on conditional generative adversarial networks

Fan Zhang et al.

Summary: This paper proposes a prognostic model PregGAN based on conditional generative adversarial network (CGAN) for disease prognosis prediction. Experimental results on breast cancer dataset show that PregGAN achieves good predictive performance and can be considered as a reliable prognostic model for breast cancer, as well as for other diseases.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis

Jia Luo et al.

Summary: The study introduces an imbalanced fault diagnosis method based on conditional-deep convolutional generative adversarial network (C-DCGAN), which improves fault diagnosis accuracy and generalization ability by balancing the dataset using generated samples.

JOURNAL OF INTELLIGENT MANUFACTURING (2021)

添加到收藏夹

Article Computer Science, Information Systems

FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing failure detection method

Jairo Viola et al.

Summary: Failure detection is crucial in industries for improving system efficiency and cost reduction, but due to unbalanced datasets and limited failure behavior information, training and validating automated failure detection methods is challenging. The FaultFace methodology uses deep learning techniques to create balanced datasets and shows good performance in detecting failures.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Chemistry, Analytical

GAN-Based Differential Private Image Privacy Protection Framework for the Internet of Multimedia Things

Jinao Yu et al.

Summary: This paper presents a new image privacy protection framework that combines deep neural network and generative adversarial network with differential privacy technology to protect sensitive personal information in images collected by IoMT devices. The experimental results demonstrate that the framework can effectively protect user privacy while maintaining the utility of images.

SENSORS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Learning Optimality Theory for Accuracy-Based Learning Classifier Systems

Masaya Nakata et al.

Summary: This article theoretically reveals an optimal learning scheme for XCS, providing a method that mathematically guarantees accurate rule identification and offers guidance for parameter setting. Experimental results show that this theoretical approach enables XCS to achieve maximum rule identification correctness in the fewest iterations and solve previously challenging problems.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

添加到收藏夹

Article Computer Science, Information Systems

Efficient human motion prediction using temporal convolutional generative adversarial network

Qiongjie Cui et al.

Summary: This paper introduces a temporal convolutional generative adversarial network (TCGAN) for predicting future human poses, which outperforms traditional RNNs in both short-term and long-term predictions and is capable of generating future poses in real-time.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Computer Science, Information Systems

Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning

Dan Li et al.

Summary: This study proposes a multi-subject fMRI data augmentation method that utilizes multiple subject-specific encoders, decoders, and discriminators to transform information, addressing feature mismatch and distribution mismatch issues, thereby enhancing the decoding accuracy of the target subject.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Chemistry, Analytical

Understanding LSTM Network Behaviour of IMU-Based Locomotion Mode Recognition for Applications in Prostheses and Wearables

Freddie Sherratt et al.

Summary: This study focuses on the understanding of LSTM behavior for locomotion mode recognition, showing that the model primarily classifies activity types based on data around early stance. It also demonstrates the model's low sensitivity to learning hyper-parameters when evaluating generalization for new users, emphasizing the need for personalization of models.

SENSORS (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks

Kilin Shi et al.

Summary: This study introduces a contactless approach using a radar system and LSTM network for heart rate variability measurement, achieving high accuracy in heartbeat detection and HRV parameter extraction, suitable for clinical and home-care scenarios.

SCIENTIFIC REPORTS (2021)

添加到收藏夹

Article Geosciences, Multidisciplinary

Climate benchmarks and input parameters representing locations in 68 countries for a stochastic weather generator, CLIGEN

Andrew T. Fullhart et al.

Summary: This dataset includes input parameters for 12,703 locations worldwide to parameterize a stochastic weather generator called CLIGEN. Monthly statistics for daily precipitation, temperature, and solar radiation are provided, with parameters determined from 30-, 20-, and 10-year record lengths. Input parameters related to precipitation were primarily calculated from the NOAA GHCN-Daily network, while others were calculated from various sources including global meteorological and land-surface models.

EARTH SYSTEM SCIENCE DATA (2021)

添加到收藏夹

Article Management

A parametrized variational inequality approach to track the solution set of a generalized nash equilibrium problem

Tangi Migot et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning

Felipe Andre Zeiser et al.

JOURNAL OF DIGITAL IMAGING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition

Maoguo Gong et al.

NEURAL NETWORKS (2020)

添加到收藏夹

Article Mathematical & Computational Biology

Parameter-expandeddata augmentation for analyzing correlated binary data using multivariate probit models

Xiao Zhang

STATISTICS IN MEDICINE (2020)

添加到收藏夹

Review Medicine, General & Internal

Efficacy and safety of Tian moxibustion in treating allergic rhinitis A protocol for a systematic review and meta-analysis

Gen Deng et al.

MEDICINE (2020)

添加到收藏夹

Article Operations Research & Management Science

Sampling from the complement of a polyhedron: An MCMC algorithm for data augmentation

Timothy C. Y. Chan et al.

OPERATIONS RESEARCH LETTERS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-modal deep learning model for auxiliary diagnosis of Alzheimer's disease

Fan Zhang et al.

NEUROCOMPUTING (2019)

添加到收藏夹

Article Environmental Sciences

A Weather-Regime-Based Stochastic Weather Generator for Climate Vulnerability Assessments of Water Systems in the Western United States

Scott Steinschneider et al.

WATER RESOURCES RESEARCH (2019)

添加到收藏夹

Article Environmental Sciences

Predicting CO2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network

Zhi Zhong et al.

WATER RESOURCES RESEARCH (2019)

添加到收藏夹

Article Multidisciplinary Sciences

Quantifying Uncertainty Due to Stochastic Weather Generators in Climate Change Impact Studies

Fosco M. Vesely et al.

SCIENTIFIC REPORTS (2019)

添加到收藏夹

Article Computer Science, Hardware & Architecture

ClaMPP: a cloud-based multi-party privacy preserving classification scheme for distributed applications

Harmanjeet Kaur et al.

JOURNAL OF SUPERCOMPUTING (2019)

添加到收藏夹

Article Computer Science, Information Systems

Data Synthesis based on Generative Adversarial Networks

Noseong Park et al.

PROCEEDINGS OF THE VLDB ENDOWMENT (2018)

添加到收藏夹

Article Computer Science, Information Systems

The Composition Theorem for Differential Privacy

Peter Kairouz et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2017)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

添加到收藏夹

Article Engineering, Electrical & Electronic

Signal Processing and Machine Learning with Differential Privacy [Algorithms and challenges for continuous data]

Anand D. Sarwate et al.

IEEE SIGNAL PROCESSING MAGAZINE (2013)

添加到收藏夹

Article Computer Science, Theory & Methods

The Algorithmic Foundations of Differential Privacy

Cynthia Dwork et al.

FOUNDATIONS AND TRENDS IN THEORETICAL COMPUTER SCIENCE (2013)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.