Data Research Papers

Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things

Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the emerging Internet of Things (IoT) has gained a lot of attention from the government, academia, and industries in recent years. Federated cybersecurity (F...

Cybersecurity, Data Privacy and Blockchain: A Review

In this paper, we identify and review key challenges to bridge the knowledge-gap between SME's, companies, organisations, businesses, government institutions and the general public in adopting, promoting and utilising Blockchain technology....

Robustness of Short-Term Wind Power Forecasting against False Data Injection Attacks

The accuracy of wind power forecasting depends a great deal on the data quality, which is so susceptible to cybersecurity attacks. In this paper, we study the cybersecurity issue of short-term wind power forecasting. We present one class of...

Investigating the impact of cybersecurity policy awareness on employees’ cybersecurity behavior

Defining Cybersecurity

IntroductionThe term "cybersecurity" has been the subject of academic and popular literature that has largely viewed the topic from a particular perspective. Based on the literature review described in this article, we found that the term i...

The effect of universal health coverage on pollution induced mortality across 91 countries

Abstract This study investigates the mitigating role of universal healthcare coverage (UHC) in reducing mortality from air pollution, focusing on deaths caused by particulate matter pollution (PMP) and ambient ozone pollution (AOP) across 9...

Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health

Public health surveillance conducted by health departments in the United States has improved in completeness and timeliness owing to electronic laboratory reporting. However, the collection of detailed clinical information about reported ca...

Crowdsourcing Applications for Public Health

GIS and Public Health

Authoritative and comprehensive, this is the leading text and professional resource on using geographic information systems (GIS) to analyze and address public health problems. Basic GIS concepts and tools are explained, including ways to a...

Research and practice on key issues in the implementation of government data classification and grading in China

Data classification and grading is the foundation for ensuring the safe circulation of data and promoting the release of data value.This paper focuses on the key task of government data classification and grading in digital reform.Using a t...

Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...

Proposing New Data Whitening Method through Application of LSTM Method for Fault Condition Prediction in Bearing Data

In the context of big data, data preprocessing, especially data whitening, plays a pivotal role in improving the effectiveness of AI models. While traditional whitening methods suffer from severe computational bottlenecks, arising from the ...

FEATURES using reversible logic operations IN MODELING IRREVERSIBLE COMPUTING on the reversibly COMPUTER

Information can be recorded in the quantum state and are transmitted via the physical channel. The theory of quantum coding and information theory quantum computing related. In any information system ( classical or quantum) will always cont...

A Secure, Intelligent, and Smart-Sensing Approach for Industrial System Automation and Transmission over Unsecured Wireless Networks

In Industrial systems, Supervisory control and data acquisition (SCADA) system, the pseudo-transport layer of the distributed network protocol (DNP3) performs the functions of the transport layer and network layer of the open systems interc...

A study on process information-driven cyber threat detection for I&C systems in NPP

The increasing digitalization of Instrumentation and Control (I&C) systems in Nuclear Power Plants (NPPs) has improved operational efficiency while introducing cybersecurity vulnerabilities. Conventional network-based intrusion detection sy...

A Graph Database Representation of Portuguese Criminal-Related Documents

Organizations have been challenged by the need to process an increasing amount of data, both structured and unstructured, retrieved from heterogeneous sources. Criminal investigation police are among these organizations, as they have to man...

Enhancing sentiment classification on small datasets through data augmentation and transfer learning

Abstract Small-scale sentiment classification often suffers from data scarcity, which limits the generalization ability of the models. This study evaluates and compares the effectiveness of three data augmentation strategies: Easy Data Augm...

Natural Language Processing for Biosurveillance

Applying Natural Language Processing in Manufacturing

Despite great progress in the digitization of the industrial sector through Industry 4.0 and widely available data, data analysis is typically constrained to numerical data, not the synthesis of knowledge. Although valuable employee knowled...

Study of Audio Frequency Big Data Processing Architecture and Key Technology

As the major part of big data research, the audio frequency's value has not been discovered. The features of big data, and the automatic speech recognition（ASR）technology were studied, and the value was mined through the method that combine...