Latest Articles for Deep Neural Networks

Exploring the optimization of DNNs for devices with limited energy supply.

A new system improves signal processing efficiency through innovative encoding methods.

A look at how explainability impacts ML decisions in cybersecurity.

New methods refine molecular structure modeling from CryoEM data.

Researchers use deep neural networks to improve predictions in nuclear physics.

A look into enhancing FPGA use in DNN applications with new techniques.

LeRF combines deep learning and interpolation for better image resizing.

A study on using active learning to enhance DNN surrogates for diffusion equations.

Discover the role of quantum authentication in enhancing digital security.

New methods improve MRI image quality without clean references.

A new method improves deep learning efficiency for edge devices.

New methods improve efficiency in deep neural networks, reducing energy use and increasing speed.

Improving audio quality in devices through bandwidth expansion techniques.

A look into output range estimation using Simulated Annealing in neural networks.

Exploring the threats posed by adversarial attacks in medical imaging.

A new method combining concept learning and disentangled representations for better model understanding.

An overview of DNNs and Accordion Networks in managing high-dimensional data.

Examining how emotional cues can hijack speaker identification technology.

A new method enhances blurry images using a sharpness-based approach.

A new approach to topology optimization using machine learning enhances design efficiency.

Using Darwinian concepts to improve neural network training methods.

This article presents a method to incorporate uncertainty in volume visualization for better scientific data analysis.

VALE enhances understanding of AI image classification through dual explanations.

A new approach enhances communication clarity by reducing echo and background noise.

Recent methods improve audio watermarking for better sound quality and copyright management.

A new framework merges deep learning with semiparametric statistics for better data analysis.

Exploring how transfer learning aids in studying electron interactions with atomic nuclei.

Exploring L-NODEC for better stability in control strategies.

Exploring the challenges of Multi-Task and Continual Learning in machine learning.

New methods enable non-invasive blood pressure monitoring through wearable devices.

NoiseAttack alters multiple classes in backdoor attacks using subtle noise patterns.

Learn how the Deep Limit Model-free method improves predictions and uncertainty management.

A new method enhances DNN testing by combining feature selection with uncertainty-based prioritization.

A new method predicts DNN performance on various hardware quickly and accurately.

Introducing COSCO, a framework enhancing classification accuracy with limited data.

An overview of keyword spotting technologies and their challenges with the Urdu language.

A new method enhances reservoir modeling through neural networks and spatial data.

Examining efficient attacks on Automatic Modulation Classification using the Golden Ratio.

This article discusses how combining methods improves operator learning effectiveness.

New tool ODiMO improves DNN performance on edge hardware.