Academic Articles & Research Papers

The Cambridge Dictionary of Statistics

The Cambridge dictionary of statistics , The Cambridge dictionary of statistics , کتابخانه دیجیتال جندی شاپور اهواز...

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...

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...

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...

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...

Bullying/Victimization Experiences, Post-Traumatic Stress Disorder, Mental Resilience and Self-Compassion in Adolescent Students.

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

Cybersecurity in DevOps Environments: A Systematic Literature Review

This systematic literature review provides a comprehensive analysis of the most critical cybersecurity challenges in DevOps environments. Through a rigorous examination of 62 peer-reviewed articles published between 2016 and 2025, we identi...

Adversarial XAI Methods in Cybersecurity

Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...

Cybersecurity and Sustainable Development

Growing interdependencies between organizations lead them towards the creation of inter-organizational networks where cybersecurity and sustainable development have become one of the most important issues. The Environmental Goods and Servic...

COVID ‐19 pandemic cybersecurity issues

This paper studies the cybersecurity issues that have occurred during the coronavirus (COVID‐19) pandemic. During the pandemic, cyber criminals and Advanced Persistent Threat (APT) groups have taken advantage of targeting vulnerable people ...

China and Cybersecurity

China's emergence as a great power in the twenty-first century is strongly enabled by cyberspace. Leveraged information technology integrates Chinese firms into the global economy, modernizes infrastructure, and increases internet penetrati...

Decentralized intelligence in smart grids: a comprehensive survey of edge computing and federated learning

Modern power grids are becoming more distributed and data-intensive, while centralized, cloud-based analytics struggle to keep pace. Routing everything through a central system introduces delays, strains network capacity, complicates compli...

Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system

The need to reduce global carbon emissions has led to a significant increase in clean energy globally. While renewable energy penetration into energy grids and power systems is increasing in many countries, the intermittency and stochastic ...

Practical Vulnerability-Information-Sharing Architecture for Automotive Security-Risk Analysis

Emerging trends that are shaping the future of the automotive industry include electrification, autonomous driving, sharing, and connectivity, and these trends keep changing annually. Thus, the automotive industry is shifting from mechanica...

Human factors in cybersecurity; examining the link between Internet addiction, impulsivity, attitudes towards cybersecurity, and risky cybersecurity behaviours

The present study explored the relationship between risky cybersecurity behaviours, attitudes towards cybersecurity in a business environment, Internet addiction, and impulsivity. 538 participants in part-time or full-time employment in the...

Cybersecurity Risk

Abstract Based on textual analysis and a comparison of cybersecurity risk disclosures of firms that were hacked to others that were not, we propose a novel firm-level measure of cybersecurity risk for all U.S.-listed firms. We then examine ...

Cybersecurity and Cyberwar

Abstract Dependence on computers has had a transformative effect on human society. Cybernetics is now woven into the core functions of virtually every basic institution, including our oldest ones. War is one such institution, and the digita...

Methodological framework to identify possible adverse drug reactions using population-based administrative data [v1; ref status: indexed, http://f1000r.es/3ys]

Purpose: We present a framework for detecting possible adverse drug reactions (ADRs) using the Utah Medicaid administrative data. We examined four classes of ADRs associated with treatment of dementia by acetylcholinesterase inhibitors (ACh...

Exposure to particulate matter (PM2.5) and prevalence of diabetes mellitus in Indonesia

Background: Recently emerging evidence suggests an association between particulate matter less than 2.5 µm in diameter (PM2.5) exposure and diabetes risk. However, evidence from Asia is limited. Here, we evaluated the association between PM...