Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Chicago Sun-Times

Under first Latina curator, Chicago Architecture Biennial opened with a deep dive into ‘radical change’

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Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
Frontiers

Fish keypoint detection for offshore aquaculture: a robust deep learning approach with PCA-based shape constraint

Introduction: Fish keypoint detection is a prerequisite for accurate fish behavior analysis and biomass weight estimation, and is therefore crucial for efficient and intelligent offshore aquaculture.
IEEE

Deep Learning Assisted mmWave Beam Prediction with Flexible Network Architecture

Abstract: Benefiting from a large amount of unallocated bandwidth, millimeter-wave (mmWave) communications have been regarded as one of the most promising technologies. To overcome high pathloss of ...
Frontiers

Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
IEEE

Modulation Recognition Based on IQ-eyes Diagrams and Deep Learning

Abstract: This article presents our initial results in deep learning for modulation recognition with the signal IQ-eyes diagrams. we design a representative convolution neural network to distinguish ...