Academic Articles & Research Papers

Variation Characteristics of Annual Baseflow at Different Frequencies in Upper Yangtze River Using a Digital Filtering Method

[Objective] Addressing critical gaps in understanding the Upper Yangtze River Basin (UYRB) baseflow dynamics is essential for regional water security and ecological sustainability. This study presents the first comprehensive multi-station a...

Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study

Monitoring and forecasting crop yields is a critical component of understanding and better addressing global food security challenges. Detailed spatial information on crop-type distribution is fundamental for in-season crop condition monito...

Placenta and appetite genes GDF15 and IGFBP7 are associated with hyperemesis gravidarum

Hyperemesis gravidarum (HG) is a severe form of nausea and vomiting associated with unfavourable outcomes during pregnancy. Here, Fejzo et al. perform genome-wide scans for HG and pregnancy nausea and vomiting and identify genetic associati...

Modeling Rare Species Distribution at the Edge: The Case for the Vulnerable Endemic Pyrenean Desman in France

The endemic Pyrenean Desman (Galemys pyrenaicus) is an elusive, rare, and vulnerable species declining over its entire and narrow range (Spain, Portugal, France, and Andorra). The principal set of conservation measures in France is a 5-year...

Statistics in research

Information Science and Statistics

The interface between information science and statistics is more often implicit that explicit. It is true that the rapid growth of computer technology and the development of a better understanding of how to handle large amounts of data, has...

Functional status following the COVID-19 lockdown and five-year survival among older adults with pre-existing functional dependence: a cohort study.

Organically distributed sustainable storage clusters

The ability to create low-cost, high-availability, moderate-performance, low-power, sustainable file storage clusters that may be organically distributed throughout an organization would allow organizations to bring data back from cloud-bas...

Hybrid spatio-temporal transformer and variational autoencoder framework for advanced sports injury prediction and analysis

Sports injuries significantly affect sports performance and overall health, making using accurate and reliable prognostic models imperative. Conventional algorithms for injury prediction, e.g., random forest and XGBoost, generally cannot un...

A Review of Cybersecurity Concerns for Transactive Energy Markets

Advances in energy generation and distribution technology have created the need for new power management paradigms. Transactive energy markets are integrated software and hardware systems that enable optimized energy management and direct t...

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review

Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining method...

Detecting command injection attacks in web applications based on novel deep learning methods

Abstract Web command injection attacks pose significant security threats to web applications, leading to potential server information leakage or severe server disruption. Traditional detection methods struggle with the increasing complexity...

A Bloom filter-based dynamic symmetric searchable encryption scheme over cloud data

Abstract In this paper, a searchable encryption scheme for cloud data is proposed to address the limitations of existing schemes, which suffer from inefficient index construction and search process, as well as a lack of support for dynamic ...

Beyond Herd Immunity Against Strategic Attackers

Herd immunity, one of the most fundamental concepts in network epidemics, occurs when a large fraction of the population of devices is immune against a virus or malware. The few individuals who have not taken countermeasures against the thr...

The smartHEALTH European Digital Innovation Hub experiences and challenges for accelerating the transformation of public and private organizations within the innovation ecosystem

Digital innovation can significantly enhance public health services, environmental sustainability, and social welfare. To this end, the European Digital Innovation Hub (EDIH) initiative was funded by the European Commission and national gov...

Privacy Risks of Cybersquatting Attacks

Cybersquatting is a collection of methods commonly used by malicious actors to mislead or trick internet users into accessing fraudulent or malicious content. Much of the current research has concentrated on the specific techniques used by ...

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

People in the modern era spend most of their lives in virtual environments that offer a range of public and private services and social platforms. Therefore, these environments need to be protected from cyber attackers that can steal data o...

An Explainable AI-Driven Zero-Day Attack Detection Framework for Securing Edge Devices in Smart Cities

The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...

Zero Trust VPN (ZT-VPN): A Systematic Literature Review and Cybersecurity Framework for Hybrid and Remote Work

Modern organizations have migrated from localized physical offices to work-from-home environments. This surge in remote work culture has exponentially increased the demand for and usage of Virtual Private Networks (VPNs), which permit remot...

Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection

Network and information security are regarded as some of the most pressing problems of contemporary economy, affecting both individual citizens and entire societies, making them a highlight for homeland security. Innovative approaches to ha...