Results 111 to 120 of about 1,295,192 (344)

Ultra‐Improved Interfacial Strength Between Metallic Surface and Polyurethane via Cost‐Effective Anodizing Process

Advanced Materials Interfaces, EarlyView.
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen, Sherif Araby, Zhandos Tauanov, Nursultan Turdakyn, Reza Montazami, Fethi Abbassi, Gulnur Kalimuldina   +6 more
wiley   +1 more source

Evaluation of Machine Learning Models in Solar Radiation Prediction for Photovoltaic System Design [PDF]

E3S Web of Conferences
This research evaluates machine learning models in predicting solar radiation, crucial for designing photovoltaic systems. Accuracy in solar forecasting is key to mitigating climate change and meeting energy demand.
Salazar-Achig Roberto, Paguay Alex, Gavilanes Jorge, Salazar-Jácome Elizabeth, Aguirre Yonatan   +4 more
doaj   +1 more source

Multiplexed Luminal Tissue Constructs with Reconfigurable Barriers for Dynamic Modeling of Multi‐Tissue Interactions

Advanced Materials Technologies, EarlyView.
This study describes the fabrication of arrays of luminal tissue constructs for 3D luminal tissue modeling. An oil or media‐filled reservoir between constructs serves as a liquid barrier or bridge to regulate communication between lumens within the array for modeling multi‐tissue interactions in vitro. Abstract Cell‐lined luminal structures are crucial
Mouhita Humayun, José A. Jiménez‐Torres, Chao Li, Jose M. Ayuso, Karina Lugo‐Cintron, Joseph Ulbrich, Benjamin Myers, Sheena C. Kerr, Adeel Ahmed, David J. Beebe   +9 more
wiley   +1 more source

Programmable Dimensional Lithography with Digital Micromirror Devices for Multifunctional Microarchitectures

Advanced Materials Technologies, EarlyView.
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee, Byungcheon Yoo, Chaeyeong Ryu, Jongwon Oh, Dahye Baek, Jiseok Lee   +5 more
wiley   +1 more source

beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data

, 2016
International audienceDuring the past few years, the machine learning community has paid attention to developing new methods for learning from weakly labeled data.
Emonet, Rémi, Sebban, Marc, Zantedeschi, Valentina   +2 more
core   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

The Advanced Actuarial Data Science Based AI-Driven Solutions for Automated Loss Reserving Under IFRS 17 in Non-Life Insurance

Science, Engineering and Technology
This study introduces an AI-driven Automated Actuarial Loss Reserving Model (AALRM) designed to meet IFRS 17 standards for non-life insurance. The model leverages advanced machine learning techniques to improve accuracy, efficiency, and adaptability in ...
Brighton Mahohoho, Charles Chimedza, Florance Matarise, Sheunesu Munyira   +3 more
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Application of various machine learning models for fault detection in the refrigeration system of a brewing company

Engineering and Applied Science Research, 2023
Industrial refrigeration systems typically exhibit a higher energy consumption rate compared to other systems. It is a very important system, and for the brewing industry, it is at the heart of brewing as, in each process, the temperature of the beer ...
Anusak Luekiangkhamla, Natee Panagant, Sujin Bureerat, Nantiwat Pholdee   +3 more
doaj  

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source