Results 131 to 140 of about 27,200 (208)

Modular and Automated Workflow for Streamlined Raman Signal Analysis

Journal 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, Vsevolod Cheburkanov, Joseph Harrington, Vladislav V. Yakovlev   +3 more
wiley   +1 more source

Efficient coordination of hybrid energy system (fuel cell/photovoltaic/battery/supercapacitor) under the condition of fluctuated load using optimization based energy management strategy. [PDF]

Sci Rep
Ali MA, Mandour ME, Lotfy ME.
europepmc   +1 more source

Deep learning at the service of metaheuristics for solving numerical optimization problems [PDF]

Olaide N. Oyelade, Absalom E. Ezugwu, Apu Kumar Saha, Nguyen Van Thieu, Amir H. Gandomi   +4 more
openalex   +1 more source

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

Journal 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

A hybrid ensemble deep learning framework with novel metaheuristic optimization for scalable malicious website detection. [PDF]

Sci Rep
Yang T, Sun J.
europepmc   +1 more source

Cooperative Metaheuristics with Dynamic Dimension Reduction for High-Dimensional Optimization Problems

Junxiang Li, Zhipeng Dong, Ben Han, Jianqiao Chen, Xinxin Zhang   +4 more
openalex   +1 more source

Metaheuristics for the single machine weighted quadratic tardiness scheduling problem

, 2016
Tomás Cabrita Gonçalves, Jorge M. S. Valente, Jeffrey Schaller   +2 more
openalex   +2 more sources

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

Expert 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, Frederico Gadelha Guimarães   +1 more
wiley   +1 more source

Performance evaluation of advanced metaheuristic algorithms for directional overcurrent relay coordination in distribution networks. [PDF]

Sci Rep
Arslanoğlu İ, Altaş İH, Kılıç H.
europepmc   +1 more source

Flexible and Sustainable Bread Production in SMEs: A Metaheuristic Scheduling Approach

Cecilia Esti Nugraheni, Luciana Abednego, Maria Widyarini   +2 more
openalex   +2 more sources