GitHub

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

If you find our work useful in your research, please consider citing: @article{qi2017pointnetplusplus, title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space}, ...
Unite.AI

Why Data Labeling Is Critical to Building Accurate Machine Learning Models

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Tech Skills That Make You Stand Out: How to Succeed in Today's Competitive Job Market

Which tech jobs are actually hiring in 2026? Not always the ones you'd expect. The real growth is in roles that build AI's infrastructure—not just its code.
Tech Xplore

Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...
IEEE

Machine Learning Based Access Point Selection

Abstract: The continuously growing number of users and increasing application demands, such as high-definition video streaming, augmented reality, and IoT connectivity, are placing strain on cellular ...
IEEE

Unleashing 8-Bit Floating Point Formats Out of the Deep-Learning Domain

Abstract: Reduced-precision floating-point (FP) arithmetic is a technology trend to minimize memory usage and execution time on power-constrained devices. This paper explores the potential ...
IEEE

Predictive Maintenance in Autonomous Vehicles Using Machine Learning Techniques

Abstract: Predictive maintenance is revolutionizing the management of autonomous vehicles by proactively addressing potential component failures before they occur. This paper presents a predictive ...
IEEE

A Method for Predicting the Gel Point of Mixed Crude Oil Based on Deep Learning

Abstract: Accurately predicting the gel point of mixed crude oil is crucial for efficient pipeline transportation and blockage prevention. Traditional manual methods are inadequate for real-time ...
IEEE

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
IEEE

Learning-based Keypoints Detection with Topological Order on Deformable Linear Objects from Incomplete Point Clouds

Abstract: Detection of deformable linear objects (DLOs) in three-dimensional space is essential for robotic manipulation of DLOs. However, their complex deformations and high degrees of freedom make ...
IEEE

NEUF: Learning Point Cloud Quality by Non-Euclidean Fast Filtering

Abstract: This paper addresses the problem of no reference visual quality assessment in point clouds, useful for extended reality communication service such as remote surgery and education. Accurate, ...