Results 151 to 160 of about 2,499,483 (247)

Learning fuzzy representations for hypergraph node classification. [PDF]

Sci Rep
Sun Z, Geng R, Zhang G.
europepmc   +1 more source

Prognostic Performance of Alternative Lymph Node Classification Systems for Patients with Medullary Thyroid Cancer: A Single Center Cohort Study. [PDF]

Ann Surg Oncol, 2022
Prassas D, Kounnamas A, Cupisti K, Schott M, Knoefel WT, Krieg A.   +5 more
europepmc   +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

Advanced 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, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

DDEC: Dual Dependency-Enhanced Contrastive Learning for Sparse Hypergraph Node Classification. [PDF]

Entropy (Basel)
Liu M, Zheng W, Yuan S.
europepmc   +1 more source

Malignant thoracic lymph node classification with deep convolutional neural networks on real-time endobronchial ultrasound (EBUS) images. [PDF]

Transl Lung Cancer Res, 2022
Yong SH, Lee SH, Oh SI, Keum JS, Kim KN, Park MS, Chang YS, Kim EY.   +7 more
europepmc   +1 more source

Gallium Microalloying in Bi–Sn Solders: Interfacial Phase Formation, Wettability, and Long‐Term Shear Reliability Under Isothermal Aging

Advanced Engineering Materials, EarlyView.
Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová, Markéta Klimtová, Mohd Faizul Mohd Sabri, Yew Hoong Wong, Petr Veselý, Martin Plaček, Karel Dušek   +6 more
wiley   +1 more source

Posterior Label Smoothing for Node Classification

Soft labels can improve the generalization of a neural network classifier in many domains, such as image classification. Despite its success, the current literature has overlooked the efficiency of label smoothing in node classification with graph ...
Kim, Dongwoo, Park, Moonjeong, Heo, Jaeseung   +2 more
core  

Challenges in Treatment Node Classification for Network Meta-Analysis of Non-Pharmacological Interventions: Insights From a Researcher Survey. [PDF]

J Evid Based Med
Boonpattharatthiti K, Caldwell DM, Chaiyakunapruk N, Dhippayom T.   +3 more
europepmc   +1 more source

High‐Entropy Alloy Interlayers Toward Advanced Joining for High‐Performance Structural Applications: Current Progress and Emerging Challenges

Advanced Engineering Materials, EarlyView.
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan, Jiafen Song, Jinglong Li, Jiangtao Xiong, Tao Yang   +4 more
wiley   +1 more source

S2-HGNN: Scale-Aware Hypergraph Node Classification with Spectral Inductive Bias. [PDF]

Entropy (Basel)
Zhou J, Zhang S, Wu B, Wang Q, Wu C, Luo Z, Sun K, Mao H.   +7 more
europepmc   +1 more source