Latest Articles for Deep Neural Networks

A new model improves how we analyze public sentiment from tweets.

Examining GNNs for classifying particle collision events.

Exploring how semi-supervised learning combines labeled and unlabeled data for better AI models.

New networks improve imaging and labeling neurons in C. elegans.

Discover how RELMAS improves DNN task scheduling in cloud environments.

A study on optimizing osmotherapy for better patient outcomes.

A method that reduces energy use in decentralized learning for IoT devices.

HistNetQ offers a fresh approach to quantifying data using deep learning.

A new approach boosts performance of hybrid LiFi and WiFi networks.

CNFs use differential equations to model complex probability distributions effectively.

Integrating deep learning techniques directly into relational databases for enhanced data analysis.

CiMLoop enhances efficiency in deep neural networks through innovative modeling.

A framework that enhances DNN performance in energy-constrained environments.

A study explores the use of deep neural networks in understanding radiation exposure risk.

Researchers enhance measurements of bright stars using deep neural networks.

New methods for approximating complex functions from limited data are emerging.

Research reveals how the frontal lobe influences visual perception and thought processes.

Exploring how chaotic dynamics can enhance deep neural networks in artificial intelligence.

A new method combines RBM, DNNs, and RBFs for solving parametric PDEs efficiently.

A new method combines deep learning with polynomial techniques for improved function approximations.

A new benchmark enhances offline multi-objective optimization methods across various fields.

Improving DNN performance through efficient data sampling methods.

New strategies improve deep reinforcement learning against adversarial noise.

A new way to optimize complex systems effectively within constraints.

Deep neural networks enhance modeling of acoustic scattering problems in various fields.

Researchers study animal vocalizations in natural settings to enhance understanding.

New method enhances spiking neural networks' performance in language tasks.

This paper presents a new DNN-based IDS in programmable networks.

Exploring how deep learning models mimic human contour integration skills.

This study explores deep learning models for accurate rice mapping in Bhutan.

A tool to verify the safety of deep learning models.

BasisN addresses RRAM challenges for faster, energy-efficient deep neural network computations.

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.