Layered ocean sound speed model improves acoustic seafloor positioning precision

FAYETTEVILLE, GA, UNITED STATES, June 23, 2026 /EINPresswire.com/ -- GNSS-A positioning, which combines satellite ...

Reading the room’s magnetic personality: New algorithm cuts indoor positioning error by nearly half

FAYETTEVILLE, GA, UNITED STATES, June 23, 2026 /EINPresswire.com/ -- Imagine navigating a sprawling subway system or a ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
IEEE

Distributed Adaptive Gradient Algorithm With Gradient Tracking for Stochastic Nonconvex Optimization

Abstract: This article considers a distributed stochastic nonconvex optimization problem, where the nodes in a network cooperatively minimize a sum of $L$-smooth ...
Scientific Research Publishing

Research on the Proximal Gradient Method for Composite Optimization Problems under Generalized Smoothness Assumptions ()

Key Laboratory of Optimization Theory and Applications, School of Mathematical Sciences, China West Normal University, Nanchong, China. Overall, existing literature mainly focuses on smooth ...
techxplore

New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement ...
Nature

Greedy gradient-free adaptive variational quantum algorithms on a noisy intermediate scale quantum computer

Hybrid quantum-classical adaptive Variational Quantum Eigensolvers (VQE) hold the potential to outperform classical computing for simulating many-body quantum systems. However, practical ...
SciELO

Solving Weighted Orthogonal Procrustes Problems via a Projected Gradient Method

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...
GitHub

Dynamic Personalized Federated Learning with Adaptive Differential Privacy

Personalized federated learning with differential privacy (DP-PFL) has been considered a feasible solution to address non-IID distribution of data and privacy leakage risks. However, current DP-PFL ...
IEEE

Solving Electromagnetic Inverse Problem Using Adaptive Gradient Descent Algorithm

Abstract: The nonlinear conjugate gradient (NLCG) algorithm is one of the popular linearized methods used to solve the frequency-domain electromagnetic (EM) geophysical inverse problem. During NLCG ...
Frontiers

Adaptive Bilateral Texture Filter for Image Smoothing

The biggest challenge of texture filtering is to smooth the strong gradient textures while maintaining the weak structures, which is difficult to achieve with current methods. Based on this, we ...