8 Result(s)
-
Article
Open AccessLLM potentiality and awareness: a position paper from the perspective of trustworthy and responsible AI modeling
Large language models (LLMs) are an exciting breakthrough in the rapidly growing field of artificial intelligence (AI), offering unparalleled potential in a variety of application domains such as finance, busi...
-
Article
Modeling Hybrid Feature-Based Phishing Websites Detection Using Machine Learning Techniques
In this paper, we mainly present a machine learning based approach to detect real-time phishing websites by taking into account URL and hyperlink based hybrid features to achieve high accuracy without relying on ...
-
Article
Open AccessMachine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects
Due to the digitization and Internet of Things revolutions, the present electronic world has a wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a growing concern in t...
-
Article
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion
Covid text identification (CTI) is a crucial research concern in natural language processing (NLP). Social and electronic media are simultaneously adding a large volume of Covid-affiliated text on the World Wi...
-
Article
An Improved K-means Clustering Algorithm Towards an Efficient Data-Driven Modeling
K-means algorithm is one of the well-known unsupervised machine learning algorithms. The algorithm typically finds out distinct non-overlap** clusters in which each point is assigned to a group. The minimum ...
-
Chapter and Conference Paper
Cyber Intrusion Detection Using Machine Learning Classification Techniques
As the alarming growth of connectivity of computers and the significant number of computer-related applications increase in recent years, the challenge of fulfilling cyber-security is increasing consistently. ...
-
Chapter and Conference Paper
Crime Prediction Using Spatio-Temporal Data
A crime is an action which constitutes a punishable offence by law. It is harmful for society so as to prevent the criminal activity, it is important to understand crime. Data driven researches are useful to prev...
-
Chapter and Conference Paper
A Rule-Based Expert System to Assess Coronary Artery Disease Under Uncertainty
The coronary artery disease (CAD) occurs from the narrowing and damaging of major blood vessels or arteries. It has become the most life-threatening disease in the world, especially in the South Asian region. ...
