Results 61 to 70 of about 1,122 (127)

Remittance frictions and seasonal poverty

open access: yesQuantitative Economics, Volume 17, Issue 3, Page 670-708, July 2026.
Seasonal migration is a common strategy to mitigate rural seasonal deprivation, but migrants need to remit money during the lean season to family members facing food shortages. We observe counterintuitively low remittances in rural Nepal during periods of seasonal hunger, and migrants return with remittances later during harvest when food is relatively
Ahmed Mushfiq Mobarak   +2 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Enhanced Supplier Clustering Using an Improved Arithmetic Optimizer Algorithm

open access: yesEngineering Proceedings
This paper presents a novel approach to supplier clustering by utilizing the Arithmetic Optimizer Algorithm (AOA), addressing the complex challenge of supplier segmentation in modern supply chain management.
Asmaa Akiki   +4 more
doaj   +1 more source

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

open access: yesEnergy Science &Engineering, Volume 14, Issue 6, Page 2996-3012, June 2026.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh   +3 more
wiley   +1 more source

Enhancing Non-Invasive Blood Glucose Prediction from Photoplethysmography Signals via Heart Rate Variability-Based Features Selection Using Metaheuristic Algorithms

open access: yesAlgorithms
Diabetes requires effective monitoring of the blood glucose level (BGL), traditionally achieved through invasive methods. This study addresses the non-invasive estimation of BGL by utilizing heart rate variability (HRV) features extracted from ...
Saifeddin Alghlayini   +2 more
doaj   +1 more source

Optimum sizing of hybrid sustainable and renewable energy systems using a modified harris hawks optimizer

open access: yesResults in Engineering
To boost the use of renewable energy sources while maintaining reliability and affordability, Multi-source renewable and sustainable energy systems must be optimally sized.
Djamel Eddine Sifou   +7 more
doaj   +1 more source

A novel hybrid jellyfish search optimizer and sine cosine algorithm for optimal scheduling of real power for controlling congestion in deregulated power system environment

open access: yesNext Energy
This manuscript presents a novel Hybrid Jellyfish Search Optimizer-Sine Cosine Algorithm (hJSO-SCA) for controlling congestion cost in the power system framework.
Kaushik Paul
doaj   +1 more source

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