Results 211 to 220 of about 9,098,713 (311)
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Assessment of advanced glazing systems for building energy efficiency in hot-arid climates. [PDF]
Elshamy AI +3 more
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Effects of Perovskia abrotanoides Kar. Essential Oil on Greenhouse Gas Mitigation and Energy Efficiency Improvement in Sheep Rumen: An In Vitro Study. [PDF]
Kazemi M.
europepmc +1 more source
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
Topology modeling and energy efficiency prediction of parallel chillers based on deep learning. [PDF]
Liu Y, Yang X, Zhang L, Tian Y.
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
A study on energy efficiency and optimization of an industrial packaging company
reservedThe increasing need for sustainable energy practices and the reduction of carbon emissions have become key aspects of contemporary industries. In this context, the focus of this thesis project is to conduct a comprehensive energy analysis of a ...
MOHAMED, OMAR MOHAMED MAHMOUD
core
Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming. [PDF]
Nguyen-Thi H +4 more
europepmc +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source

