Academic Articles & Research Papers

Time-Aware Service Ranking Prediction in the Internet of Things Environment

With the rapid development of the Internet of things (IoT), building IoT systems with high quality of service (QoS) has become an urgent requirement in both academia and industry. During the procedures of building IoT systems, QoS-aware ser...

Optimal allocation and sizing of distributed generation for improvement of distribution feeder loss and voltage profile in the distribution network using genetic algorithm

The increasing demand for electric power, coupled with rapid urbanization, necessitates a reliable and high-quality electricity supply to meet consumer expectations. However, existing passive distribution systems are inadequate to address t...

Voltage Stability and Power Sharing Control of Distributed Generation Units in DC Microgrids

Advancements in power conversion efficiency and the growing prevalence of DC loads worldwide have underscored the importance of DC microgrids in modern energy systems. Addressing the challenges of power-sharing and voltage stability in thes...

Psychometric facets of Antifragility: Tolerance of Ambiguity, Hardiness, and Growth

This paper considers the issues, which are concerned with a new concept of antifragility. Quite recently, considerable attention has been paid to the concept of antifragility. Antifragility gains a special importance in studying psychologic...

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...

Hybrid drivetrain design: Working principle and application

Emerging engineering challenges in wind power electricity generation bond with stringent industrial requirements, have tendency to outline development and design process in the ready set go manner. From given predisposition one of the conse...

A Systematic Literature Review on Modern Cryptographic and Authentication Schemes for Securing the Internet of Things

The rapid integration of the Internet of Things (IoT) into healthcare ecosystems has revolutionized patient monitoring and data accessibility; however, it has simultaneously expanded the cyber-attack surface, leaving sensitive medical data ...

Prevalence of comorbid depression and associated factors among hospitalized patients with type 2 diabetes mellitus in Hunan, China

Abstract Background Depression and diabetes are major health challenges, with heavy economic social burden, and comorbid depression in diabetes could lead to a wide range of poor health outcomes. Although many descriptive studies have highl...

Lessons Learned From a Sequential Mixed-Mode Survey Design to Recruit and Collect Data From Case-Control Study Participants: Formative Evaluation

BackgroundSequential mixed-mode surveys using both web-based surveys and telephone interviews are increasingly being used in observational studies and have been shown to have many benefits; however, the application of this survey design has...

High-risk behaviors and experiences with traffic law among night drivers in Curitiba, Brazil

Objective: To explore high-risk behaviors and experiences with traffic law among night drivers in Curitiba, Brazil. Method: Data from 398 drivers on sociodemographic parameters, high-risk behaviors, experiences with traffic law, and traffi...

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...

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...

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...

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...

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...

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...

Cybersecurity

This chapter introduces the theme of cybersecurity, its importance in the actual scenario, and the challenges of the new Information Society, whose critical development factors are the technological revolution and innovation. The revolution...

Addressing Industry 4.0 Cybersecurity Challenges

Awareness is building on how managers should be involved in Industry 4.0 cybersecurity. This awareness and concern derives from heavy dependence of integrated information systems and technology for Industry 4.0. Manufacturing companies rely...

Bacteriophage-based control of Pseudomonas spp.: research trends and biotechnological challenges.

Integrating Adversarial Scenarios into LLM Security Labs: An Experience Report on a Hands-On Approach

This paper presents an exploratory case study detailed as a pedagogical experience report on integrating adversarial Large Language Model (LLM) scenarios into a graduate cybersecurity curriculum. In addition to prompt injection, sophisticat...