Where data meets discipline: Inside the B.Sc in Data Science at AAFT Noida

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data.
IEEE

Optimized Detection of SQL Injection Attacks Using Machine Learning: Enhancing Accuracy and Explainability in Cybersecurity

Abstract: This paper tests the efficiency of some machine learning approaches to identify SQL injection attacks by considering precision and interpretability. A combination of the popular models like ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
The Conversation

Machines whisper before they scream: we built an AI model that predicts expensive problems

Edward Khomotso Nkadimeng receives funding from the National Research Foundation. In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
IEEE

Machine Learning-Based Detection and Classification of SQL Injection Attacks Using a Stacking Ensemble Model

Abstract: SQL injection attacks pose a significant risk to web applications because they can grant unauthorized access to databases and private information. The purpose of this study is to detect and ...
Scientific Research Publishing

Molnar, C. (2022) Interpretable Machine Learning. A Guide for Making Black Box Models Explainable, Self-Published.

ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
Scientific Research Publishing

Designing a Detection Model for SQL Injection Attack ()

SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning approaches ...