Results 151 to 160 of about 50,778 (275)

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

open access: yesApplied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani   +3 more
wiley   +1 more source

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad   +3 more
wiley   +1 more source

Modular and Automated Workflow for Streamlined Raman Signal Analysis

open access: yesJournal of Raman Spectroscopy, Volume 57, Issue 2, Page 360-377, February 2026.
This study presents an automated workflow for preprocessing and analyzing Raman spectroscopy data, addressing key challenges such as noise suppression, baseline correction, and peak fitting using Voigt profiles. The method is validated on both synthetic and experimental spectra, demonstrating improved spectral fidelity and peak detection for biomedical
Mykyta Kizilov   +3 more
wiley   +1 more source

Genetic and Iterative Metaheuristics‐Informed Algorithms for Precision Shallow Groundwater Modeling and Drought Inference

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Cokriging is a widely used geostatistical method for modeling the shallow groundwater table, often incorporating digital elevation models (DEMs) as secondary variables. However, existing approaches rarely include robust validation procedures to reduce local uncertainty or iteratively improve spatial predictions.
Massimiliano Schiavo, Daniele Pedretti
wiley   +1 more source

Remaining Useful Life Prediction in an Aerospace Engine: A Multivariable Fuzzy Time Series Classification Approach

open access: yesExpert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT Failures in safety‐critical systems such as aircraft engines pose severe economic and societal risks. This study introduces a novel Remaining Useful Life (RUL) prediction method uniquely combining diverse techniques. Specifically, the proposed methodology integrates fuzzy time series analysis with sliding window segmentation and Multinomial ...
Luiz Rogério de Freitas Júnior   +1 more
wiley   +1 more source

New Binary Reptile Search Algorithms for Binary Optimization Problems. [PDF]

open access: yesBiomimetics (Basel)
Crawford B   +8 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy