Results 241 to 250 of about 6,500,691 (338)

Phenomenological and Physically Based Modeling of Flow Stress and Strengthening Mechanism of Inconel 718

Advanced Engineering Materials, EarlyView.
Nickel‐based alloys are widely used in high‐temperature applications due to their excellent mechanical strength and oxidation resistance. However, properties such as high‐temperature strength and pronounced work‐hardening make them difficult to machine.
Soheil Rooein, Oliver Schenk, Christoph Broeckmann   +2 more
wiley   +1 more source

Use of HSI Coupled with Machine Learning for the Identification of Water Stress in Pear Seedling Leaves

Andrea An, Ran Wang
openalex   +2 more sources

Machine-to-Machine Communications [PDF]

OECD Digital Economy Papers, 2012
openaire   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Application of Computer Vision and Machine Learning in Morphological Characterization of Adansonia Digitata Fruits

Franklin X. Dono, Bernard Nuoleyeng Baatuuwie, Peter Sørensen, Felix K. Abagale   +3 more
openalex   +1 more source

Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning

, 2020
Shahriar Saleque, Gul-A-Zannat Spriha, Rasheeq Ishraq Kamal, Rafia Tabassum Khan   +3 more
openalex   +1 more source

On the Influence of Antioxidants and Recycled MgO–C Source Material on the Mechanical Properties of Carbon‐Bonded Magnesia Refractories

Advanced Engineering Materials, EarlyView.
The presented study focuses on the fracture behaviour of carbon‐bonded magnesia MgO–C refractories, where environmentally friendly fructose, collagen and lignin serve as temporary binding agents. The partial substitution of the source material with recycled MgO–C reduces the fracture resistance, which can be counteracted by the additional introduction ...
Marc Neumann, Tom Weber, Jana Hubálková, Florian Kerber, Dinesh Kumar Gunasekar, Hans Jelitto, Christos G. Aneziris   +6 more
wiley   +1 more source

Retraction Note: Predictive modelling and identification of key risk factors for stroke using machine learning. [PDF]

Sci Rep
Hassan A, Ahmad SG, Munir EU, Khan IA, Ramzan N.   +4 more
europepmc   +1 more source

Predicting Sorption of Diverse Organic Compounds in Soil-Water Systems: Meta-Analysis, Machine Learning Modeling, and Global Soil Mapping

Jiachun Sun, Kai Zhang, Huichun Zhang
openalex   +1 more source