[HTML][HTML] A typology of cybersecurity behavior among knowledge workers
While the cybersecurity literature on behavioral factors has expanded, current
countermeasures often overlook employee-specific behavioral differences, leading to …
countermeasures often overlook employee-specific behavioral differences, leading to …
Comprehensive review of AI and ML tools for earthquake damage assessment and retrofitting strategies
PKS Bhadauria - Earth Science Informatics, 2024 - Springer
This comprehensive review paper examines the integration of Artificial Intelligence (AI) and
Machine Learning (ML) tools in earthquake engineering, specifically focusing on damage …
Machine Learning (ML) tools in earthquake engineering, specifically focusing on damage …
[HTML][HTML] Future of process safety: Insights, approaches, and potential developments
H Abedsoltan, A Abedsoltan - Process Safety and Environmental Protection, 2024 - Elsevier
This review explores the evolving landscape of process safety, emphasizing the integration
of digitalization and advanced technologies. It assesses the role of the industrInternetrnet of …
of digitalization and advanced technologies. It assesses the role of the industrInternetrnet of …
[HTML][HTML] Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology
Pore size analysis plays a pivotal role in unraveling reservoir behavior and its intricate
relationship with confined fluids. Traditional methods for predicting pore size distribution …
relationship with confined fluids. Traditional methods for predicting pore size distribution …
[HTML][HTML] The dynamics of frequency connectedness between technology ETFs and uncertainty indices under extreme market conditions
O Ozcelebi, R McIver, SH Kang - Financial Innovation, 2025 - jfin-swufe.springeropen.com
We examine technology ETF and uncertainty index (VIX, GVZ, and OVZ) spillover dynamics
and quantile frequency interconnectedness across market states. This study is the first to use …
and quantile frequency interconnectedness across market states. This study is the first to use …
Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector
This study applies three different artificial intelligence algorithms (Multi-layer Perceptron
(MLP), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)) to …
(MLP), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)) to …
Tuning Natural Language Processing by Altered Metaheuristics Algorithm for Phishing Email Identification
The high-speed development and integration of the Internet have led to the emergence of
numerous technologies. Email has become an essential part of everyday life for most …
numerous technologies. Email has become an essential part of everyday life for most …
A Comprehensive Review on Transforming Security and Privacy with NLP
The revolutionary field of natural language processing has broad implications for privacy
and safety. This article reviews the wide range of natural language processing uses for …
and safety. This article reviews the wide range of natural language processing uses for …
A Comprehensive Review on Transforming Security and Privacy with NLP
RGA Gupta, A Srivastava - … and Network Security with Machine Learning - books.google.com
The revolutionary field of natural language processing has broad implications for privacy
and safety. This article reviews the wide range of natural language processing uses for …
and safety. This article reviews the wide range of natural language processing uses for …
[PDF][PDF] Artificial Intelligence in Geosciences
Pore size analysis plays a pivotal role in unraveling reservoir behavior and its intricate
relationship with confined fluids. Traditional methods for predicting pore size distribution …
relationship with confined fluids. Traditional methods for predicting pore size distribution …