Communications of the ACM

Integrating Machine Learning into Physical Security Architecture

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
Frontiers

Research on non-destructive detection model of tomato fruit quality based on electrical properties and machine learning algorithms

1 Key Laboratory of Southern Xinjiang Production and Construction Corps, College of Horticulture and Forestry, Tarim University, Alar, Xinjiang, China 2 Facility Agriculture Department, First Division ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
C&EN

dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...
IEEE

Boost UAV-Based Object Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning

Abstract: Detecting objects from uncrewed aerial vehicles (UAVs) are often hindered by a large number of small objects, resulting in low detection accuracy. To address this issue, mainstream ...