Latest Articles for Deep Neural Networks

New techniques aim to improve audio quality by addressing packet loss.

This article presents an innovative approach to improve traffic sign recognition.

A fresh perspective on deep neural networks using mathematical principles.

A method to adjust DNN performance in real-time for efficiency.

A new method enables privacy protection in deep learning through polynomial approximations.

Innovative methods enhance security in digital communication for sensitive information.

This study reviews efficient neural network techniques for image analysis in remote sensing.

ShadowNet combines classical shadows and neural networks to enhance quantum system learning.

A model combines deep learning and rule-based systems for clear decision-making.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

A new method improves accuracy in cardiac MRI analysis using AI.

AVMIT offers researchers insights into how sound and vision relate in action recognition.

A novel method for improving design optimization using multiple models.

A new method reduces computation costs in deep neural networks while maintaining accuracy.

A new method for better identifying key features in complex data sets.

New deep learning models enhance analysis of organelles in label-free transmitted light microscopy.

A new method improves model training with noisy labels using Local Intrinsic Dimension.

A new model streamlines simulations of perovskite oxides for material science.

A new approach enhances the understanding of feature interactions in deep neural networks.

Computers are learning to separate rhythm and harmony in music for creative applications.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

NFLikelihood enables unsupervised learning of likelihoods, enhancing data analysis in physics.

This study assesses the safety of DNNs in handling unfamiliar driving data.

A new method combines vertical symbolic regression and deep learning for better equation discovery.

New algorithms enhance detection of primary vertices at the Large Hadron Collider.

A new method improves deep learning applications for complex equations in science.

This article discusses how architectural choices shape the learning process of DNNs.

New strategies allow Trojan attacks to bypass detection methods effectively.

A new method enhances sound separation across different frequencies.

A study on predicting redshifts of GRBs through advanced machine learning techniques.

Volunteers contribute to neutrino research through the Name that Neutrino project.

Exploring new methods to enhance Model Predictive Control with deep learning techniques.

A new method enhances DNN efficiency on limited-resource devices.

New method improves efficiency in solving complex partial differential equations using neural networks.

New watermarking method strengthens protection of machine learning models against theft.

Researchers are improving jet measurements to better understand quark gluon plasma properties.

New methods improve data security and efficiency for smart technology.

DeepKnowledge method improves the reliability of DNNs in critical applications.

New method improves predictions for moving objects in autonomous driving.

DeepSample offers effective techniques for testing Deep Neural Networks efficiently and accurately.