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Cost Optimisation of Supply Chains in the Food Industry: Cost Function Modelling

Ion Popa, Sorina-Geanina Stănescu, Anișoara Duică, Elisabeta Ilona Molnar et al. • Amfiteatru Economic (2025)

The food industry faces complex challenges in managing supply chains, significantly affecting operational performance and costs. This paper explores the critical factors influencing the efficiency of food supply chains, such as product pe...

DOAJ Open Access (DOAJ) DOI: 10.24818/EA/2025/69/293

Adaptive low-rank variational quantum algorithm for simulating dissipative dynamics in photosynthetic complexes

Atiye Zeynali, Zahra Bakhshi • Scientific Reports (2026)

Abstract Simulating open quantum system dynamics via exact density-matrix propagation faces exponential complexity, scaling as $$\mathcal{O}(4^n)$$ and becoming intractable beyond approximately 15 chromophores on classical hardware—despite ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-60704-6

High-Performance Tuning for Model Predictive Control for a Renewable Energy Grid-Interface Converter With LCL Filter

Jefferson S. Costa, Angelo Lunardi, Alessio Iovine, Darlan Alexandria Fernandes et al. • IEEE Access (2025)

Model predictive control (MPC) has emerged as a highly regarded control strategy in power electronics for renewable energy applications. While it minimizes tracking errors and control effort, a significant challenge is the lack of systemati...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3603336

Boosting Neural Networks

Holger Schwenk, Yoshua Bengio • Neural Computation (2000)

Boosting is a general method for improving the performance of learning algorithms. A recently proposed boosting algorithm, AdaBoost, has been applied with great success to several benchmark machine learning problems using mainly decision tr...

OPENALEX DOI: https://doi.org/10.1162/089976600300015178

Towards deep learning with segregated dendrites

Jordan Guerguiev, Timothy Lillicrap, Blake A. Richards • eLife (2017)

Deep learning has led to significant advances in artificial intelligence, in part, by adopting strategies motivated by neurophysiology. However, it is unclear whether deep learning could occur in the real brain. Here, we show that a deep le...

OPENALEX cc-by DOI: https://doi.org/10.7554/elife.22901 PMC: 5716677