Academic Articles & Research Papers

Empowering Sustainability: The Crucial Role of IoT-Enabled Distributed Learning Systems in Reducing Carbon Footprints

Electrical energy plays a pivotal role in modern society by powering homes, industries, and transportation systems. However, the production of electricity is associated with significant carbon emissions, primarily from fossil fuel-based pow...

Research on local voltage control strategy based on high-penetration distributed PV systems

With the high-penetration distributed photovoltaic (PV) systems accessed to a distribution network, the peak active power output of PV systems is always greater than the total local load demands, which might lead to the issues of overvoltag...

Pore-Throat-Adaptive Transport and Flow-Redistribution Mechanisms of Deformable Hydrogel Particles in Tight Reservoirs of the Ordos Basin

Tight reservoirs commonly exhibit strong pore-throat confinement and flow heterogeneity, which cause injected water to preferentially migrate through connected high-conductivity pathways while a large fraction of movable fluids remains unde...

Programming distributed systems

Distributed computing systems distributed programming without language support language support for programming distributed systems language for programming distributed systems the share data-object model implementation example programs and...

A Distance Metric for Uneven Clusters of Unsupervised K-Means Clustering Algorithm

In this paper, we propose a new distance metric for the K-means clustering algorithm. Applying this metric in clustering a dataset, forms unequal clusters. This metric leads to a larger size for a cluster with a centroid away from the origi...

A Model to Predict Heart Disease Treatment Using Data Mining

Background and Aim: Nowadays heart disease is very common and is a major cause of mortality. Proper and early diagnosis of this disease is very important. Diagnostic methods and treatments of the disease are so expensive and have many side ...

Diseño del Backbone de la red óptica metropolitana con tecnología MPLS para un Proveedor de Servicios de Internet dentro del Distrito Metropolitano de Quito

Resumen: Este documento contempla el diseño del Backbone MPLS para un ISP dentro del Distrito Metropolitano de Quito. Se exponen aspectos teóricos de la tecnología MPLS, tales como: los componentes físicos y funcionales, la estructura de un...

A risk evaluation model for channel navigation based on the gray-fuzzy theory

Abstract In view of the fuzziness and randomness of the safety evaluation of the channel navigation environment, a risk evaluation model of the channel navigation is established with the set-valued statistics and the gray theory. A safety e...

Symptom clusters and core symptoms of Chinese patients with lung cancer: a cross-sectional study

Background: Chinese lung cancer patients experience various cancer-related symptoms during the course of disease, which usually occur as symptom clusters, leading to heavy symptom burden and low quality of life. Identifying symptom cluster ...

Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach

The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering...

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...

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...

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...

Text Mining in Cybersecurity

The growth of data volume has changed cybersecurity activities, demanding a higher level of automation. In this new cybersecurity landscape, text mining emerged as an alternative to improve the efficiency of the activities involving unstruc...

The Role of Machine Learning in Cybersecurity

Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...

Summer seasonal precipitation prediction in the middle and lower reaches of the Yangtze River using neural network approaches.

Deep Learning and Autonomous Vehicles: Strategic Themes, Applications, and Research Agenda Using SciMAT and Content-Centric Analysis, a Systematic Review

Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained increasing interest from both researchers and companies. This has caused a rapid expansion of scientific production on DL-AV in recent years, encouraging res...