Results 221 to 230 of about 842,651 (374)

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning [PDF]

Ding, Chenhao, Songlin Dong, Zhengdong Zhou, Han, Jizhou, Wang, Qiang, Yuhang He, Yihong Gong   +6 more
openalex   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Class Semantics Guided Knowledge Distillation for Few-Shot Class Incremental Learning

Ping Li, Jiajun Chen, Shaoqi Tian, Ran Wang   +3 more
openalex   +1 more source

Prototypical Quadruplet for Few-Shot Class Incremental Learning

, 2023
Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri   +2 more
openalex   +1 more source

Targeting the PDK1/c‐Myc/SOX10 Signaling in Oligodendrocytes Alleviates Neuropathic Pain

Advanced Science, EarlyView.
This work reveals that oligodendrocyte homeostasis, mediated by PDK1, is a critical determinant of neuropathic pain (NPP) pathogenesis. Disruption of PDK1 in oligodendrocytes impairs SOX10‐dependent myelination programs through c‐Myc accumulation, leading to disrupted myelination and the pathophysiology of NPP.
Pingping Qiao, Lifang Guo, Guochao Yang, Chaoli Huang, He Wang, Jian‐Jun Yang, Guiquan Chen, Yimin Hu   +7 more
wiley   +1 more source

Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning [PDF]

Wang, Qinzhe, Zixuan Chen, Keke Huang, Xiu Su, Chunhua Yang, Chang Xu   +5 more
openalex   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source

Dual-graph knowledge distillation for few-shot class-incremental microorganism recognition. [PDF]

Front Microbiol
Xu S, Hu Y, Zhang Y, Chen L, Yin Y.
europepmc   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Incremental learning approach for semantic segmentation of skin histology images. [PDF]

Sci Rep
Fatima S, Salam AA, Akram MU, Hameed IA, Ahmed SB.   +4 more
europepmc   +1 more source