Results 101 to 110 of about 2,216,664 (298)

Collaborative Verification-Driven Engineering of Hybrid Systems

, 2014
Hybrid systems with both discrete and continuous dynamics are an important model for real-world cyber-physical systems. The key challenge is to ensure their correct functioning w.r.t. safety requirements.
Mitsch, Stefan, Passmore, Grant Olney, Platzer, Andre   +2 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach

Brain and Behavior
Purpose Malnutrition remains a critical public health issue in low‐income countries, significantly hindering economic development and contributing to over 50% of infant deaths.
Md. Moddassir Alam, Asif Irshad Khan, Aasim Zafar, Mohammad Sohail, Mohammad Tauheed Ahmad, Rezaul Azim   +5 more
doaj   +1 more source

UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation

IEEE Access
Unmanned aerial systems/vehicles (UAS/UAVs) are increasingly utilized for inspecting high-voltage (HV) Tx lines. Operating on batteries, these UAVs are equipped with various electrical sensors, microprocessors, and motors.
Tanzim Jim Hassan, Jamison Jangula, Akshay Ram Ramchandra, Niroop Sugunaraj, Barathwaja Subash Chandar, Prashanth Rajagopalan, Farishta Rahman, Prakash Ranganathan, Ryan Adams   +8 more
doaj   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

A hybrid analytical model for thermodynamic calculations of supercritical carbon dioxide centrifugal compressors

Journal of Thermal Science and Technology
Thermodynamic calculations are important procedures for preliminary design or performances assessment of supercritical carbon dioxide (SCO2) centrifugal compressors. However, the thermodynamic calculations are usually based on the discrete database (NIST
Xiaojian LI, Chenshuo XU, Yijia ZHAO, Ming ZHAO, Zhengxian LIU   +4 more
doaj   +1 more source

Hybrid and Conventional Baryons in the Flux-Tube and Quark Models

, 2004
The status of conventional baryon flux-tubes and hybrid baryons is reviewed. Recent surprises are that a model prediction indicates that hybrid baryons are very weakly produced in glue-rich Psi decays, and an analysis of electro-production data concludes
Okiharu F., PHILIP R. PAGE
core   +4 more sources

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

A Novel Hybrid Deep Learning-Based Framework for Intelligent Anomaly Detection in Smart Meters

IEEE Access
Smart meters deployment in residential buildings generates a large volume of time-series data that offers valuable insights about electricity consumption.
Simarjit Kaur, Priyansh Chowhan, Aashima Sharma   +2 more
doaj   +1 more source

Oxide‐Free Titanium Coatings by Wire Arc Spraying in a Silane‐Doped Inert Atmosphere

Advanced Engineering Materials, EarlyView.
A silane‐doped argon atmosphere enables the production of oxide‐free titanium coatings via twin‐wire arc spraying at ambient pressure. This innovative approach eliminates residual oxygen, creating process conditions that prevent oxidation and nitride formation.
Manuel Rodriguez Diaz, Maik Szafarska, René Gustus, Kai Möhwald, Hans Jürgen Maier   +4 more
wiley   +1 more source