Results 111 to 120 of about 11,738,094 (251)

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

OFIDA: Object-focused image data augmentation with attention-driven graph convolutional networks.

open access: yesPLoS ONE
Image data augmentation plays a crucial role in data augmentation (DA) by increasing the quantity and diversity of labeled training data. However, existing methods have limitations.
Meng Zhang   +3 more
doaj   +1 more source

Experiments on image data augmentation techniques for geological rock type classification with convolutional neural networks

open access: yesJournal of Rock Mechanics and Geotechnical Engineering
The integration of image analysis through deep learning (DL) into rock classification represents a significant leap forward in geological research.
Afshin Tatar   +2 more
doaj   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

open access: yesAdvanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang   +6 more
wiley   +1 more source

ContourNet—An Automated Segmentation Framework for Detection of Colonic Polyps

open access: yesIEEE Access
One of the most prevalent forms of malignant tumor affecting the digestive system is the Colorectal Cancer (CRC). Due to the recurrent nature of occurrence of CRC tumors the morbidity and mortality rate associated with CRC tumors is very high, making it ...
Sameena Pathan   +3 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

SEM Image

open access: yes, 2017
This photograph originally appeared in the 2017 Research student photography and image competition held to celebrate National Science Week (18 August - 8 September 2017).
Azam Dolatshah
core   +1 more source

Rapidly Solidified High‐Strength Invar 36 Prepared by Planar‐Flow Melt Spinning

open access: yesAdvanced Engineering Materials, EarlyView.
The Invar 36 alloy was rapidly solidified using the planar‐flow melt‐spinning technique. Ribbon samples with thicknesses ranging from 20 to 160 mm were produced. As the grain size of the ribbon decreased to sub‐micron levels, the hardness increased by more than 2 times.
Bekir Akgül, Mehmet Kul
wiley   +1 more source

Federated Learning With AutoAlbum for Kidney Disease Detection: A Privacy-Preserving Approach to Medical Image Analysis

open access: yesIEEE Access
The increasing prevalence of kidney-related diseases necessitates efficient and accurate automated diagnostic tools to overcome the limitations of time-consuming and subjective manual image analysis.
Armaan Batra   +2 more
doaj   +1 more source

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