Results 41 to 50 of about 575 (185)

Uncertainty, Sensitivity, and Efficiency Analysis of a Hybrid Piezoelectric–Electromagnetic Energy Harvester

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Digitalization and emerging technologies are increasing the demand for wireless sensing and the Internet of Things (IoT), which provide opportunities for autonomous sources of electricity in the form of energy harvesting systems. This paper focuses on the challenges in hybrid piezoelectric‐electromagnetic kinetic energy harvesting systems that
Petr Sosna, Damian Gaska, Zdeněk Hadaš
wiley   +1 more source

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

A Model Based Systems Engineering Framework for Digital Twins in Medical Device Innovation

Systems Engineering, EarlyView.
ABSTRACT Medical device development remains constrained by development processes centered largely in the physical domain. These methods limited early understanding of system behavior and prolonged timelines relative to other innovation pathways. Such limitations increase prototype cycle duration and the number of iterations required to resolve design ...
Tanguy René Pinol, Leon Hugh Prentice, Kate Fox, Toh Yen Pang   +3 more
wiley   +1 more source

Enhanced prediction of thermomechanical systems using machine learning, PCA, and finite element simulation

Advanced Modeling and Simulation in Engineering Sciences
This research paper presents a comprehensive methodology for analyzing wet clutches, focusing on their intricate thermomechanical behavior. The study combines advanced encoding techniques, such as Principal Component Analysis (PCA), with metamodeling, to
Thomas Schneider, Alexandre Beiderwellen Bedrikow, Karsten Stahl   +2 more
doaj   +1 more source

Technoeconomic and sustainability analysis of batch and continuous crystallization for pharmaceutical manufacturing

AIChE Journal, Volume 72, Issue 7, July 2026.
Abstract In pharmaceutical industries, continuous manufacturing methods have already been well established to improve productivity and process intensification. However, to better understand the trade‐offs of continuous crystallizers over the existing batch production systems, a robust technoeconomic cost and sustainability analysis is necessary to ...
Jungsoo Rhim, Zoltan K. Nagy
wiley   +1 more source

Interactive effects of hyperparameter optimization techniques and data characteristics on the performance of machine learning algorithms for building energy metamodeling

Case Studies in Thermal Engineering
Metamodeling is a promising technique for alleviating the computational burden of building energy simulation. Although various machine learning (ML) algorithms have been applied, the interactive effects of multiple factors on ML algorithm performance ...
Binghui Si, Zhenyu Ni, Jiacheng Xu, Yanxia Li, Feng Liu   +4 more
doaj   +1 more source

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions

Water Environment Research, Volume 98, Issue 6, June 2026.
This study presents an integrated framework linking six foundational elements of water resources management: watershed modeling, surrogate modeling, optimization, artificial intelligence, decision support systems, and monitoring. The synthesis highlights how connecting these traditionally separate domains fosters smarter, adaptive, and data‐driven ...
Hoda S. Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Gregorio Toscano, Timothy Harrigan, Lewis Linker   +5 more
wiley   +1 more source

Which Knowledge Do Pre‐Service Teachers Need to Meaningfully Engage in Modeling?

Journal of Research in Science Teaching, Volume 63, Issue 4-5, Page 352-371, May 2026.
ABSTRACT Modeling involves a set of scientific practices that pre‐service science teachers struggle with. These practices involve constructing, predicting, testing, and revising models. Engaging meaningfully in modeling practices leads modelers to gain new insights about phenomena.
Paul Engelschalt, Erik Maslyak, David Fortus, Dirk Krüger, Annette Upmeier zu Belzen   +4 more
wiley   +1 more source

Assessment of groundwater well vulnerability to contamination through physics-informed machine learning

Environmental Research Letters, 2021
Contamination from anthropogenic activities is a long-standing challenge to the sustainability of groundwater resources. Physically based (PB) models are often used in groundwater risk assessments, but their application to large scale problems requiring ...
Mario A Soriano Jr, Helen G Siegel, Nicholaus P Johnson, Kristina M Gutchess, Boya Xiong, Yunpo Li, Cassandra J Clark, Desiree L Plata, Nicole C Deziel, James E Saiers   +9 more
doaj   +1 more source

Assessing maize growth and yield response to different P fertilizer levels with an adapted DSSAT CSM‐CERES‐Maize model

Agronomy Journal, Volume 118, Issue 1, January/February 2026.
Abstract Phosphorus (P) is essential for maize (Zea mays L.) growth but is a limited and non‐renewable resource. Studies using DSSAT CSM‐CERES‐Maize remain scarce for low‐P soils. This study assessed maize yield response to P fertilization in P‐deficient soils using an adapted version of the DSSAT CSM‐CERES‐Maize model with minor code modifications to ...
Shinhye Lee, Sebastian Munz, Emir Memic, Yawen You, Simone Graeff‐Hönninger   +4 more
wiley   +1 more source