Results 81 to 90 of about 22,651 (215)
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study presents a robust facial recognition framework based on a unified optimised feature vector that fuses handcrafted descriptors and deep learning embeddings. Using binary grey wolf optimisation for feature selection, the approach reduces redundancy while preserving discriminative power.
Farid Ayeche, Adel Alti
wiley +1 more source
The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.ABSTRACT Workload pressure, examination stress, family responsibilities, and a variety of other factors all contribute to an increase in stress in the body. Stress weakens the human mind and body by accelerating several health disorders. Therefore, the number of approaches for early projection of stress plays a vital role in the healthcare sector ...
Srabanti Maji +8 more
wiley +1 more source
Quantum-enhanced reinforcement learning for finite-episode games with discrete state spaces
, 2017 Quantum annealing algorithms belong to the class of metaheuristic tools, applicable for solving binary optimization problems. Hardware implementations of quantum annealing, such as the quantum annealing machines produced by D-Wave Systems, have been ...
Compostella, Gabriele +3 more
core +2 more sources
Canadian Journal of Statistics, Volume 53, Issue 4, December 2025.Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
wiley +1 more source
Ecography, Volume 2025, Issue 12, December 2025.Copious questions in global change biology require estimates of climatic suitability for species in the past or future, often via transfers of ecological niche models (ENMs) using outputs from global circulation models (GCMs). However, available GCMs differ markedly, affecting hindcasts and forecasts of species potential distributions. We propose using
Lázaro Guevara +5 more
wiley +1 more source
An Inexact Successive Quadratic Approximation Method for Convex L-1 Regularized Optimization [PDF]
, 2013 We study a Newton-like method for the minimization of an objective function that is the sum of a smooth convex function and an l-1 regularization term. This method, which is sometimes referred to in the literature as a proximal Newton method, computes a ...
Byrd, Richard H. +2 more
core
On the HU Aquarii planetary system hypothesis
, 2012 In this work, we investigate the eclipse timing of the polar binary HU Aquarii that has been observed for almost two decades. Recently, Qian et al. attributed large (O-C) deviations between the eclipse ephemeris and observations to a compact system of ...
Beuermann, Klaus +13 more
core +1 more source
RinQ: Towards predicting central sites in proteins on current quantum computers
Materials Today QuantumWe introduce RinQ, a hybrid quantum–classical framework for identifying functionally critical residues in proteins by formulating centrality detection as a Quadratic Unconstrained Binary Optimization (QUBO) problem.
Shah Ishmam Mohtashim
doaj +1 more source
A Framework for the Solution of Tree‐Coupled Saddle‐Point Systems
Numerical Linear Algebra with Applications, Volume 32, Issue 6, December 2025.ABSTRACT We consider the solution of saddle‐point systems with a tree‐based block structure, introducing a parallelizable direct method for their solution. As our key contribution, we then propose several structure‐exploiting preconditioners to be used during applications of the GMRES algorithm and analyze their properties.
Christoph Hansknecht +3 more
wiley +1 more source
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos +4 more
wiley +1 more source