Results 211 to 220 of about 1,080,302 (365)
X-DART: blending dropout and pruning for efficient learning to rank [PDF]
Claudio Lucchese+4 more
openalex +1 more source
A machine learning‐driven framework is introduced to optimize 3D‐printable microneedles for enhanced tissue anchoring and reduced insertion damage. The optimized design achieves a 6.0‐fold improvement in pull‐out‐to‐penetration energy ratio over conventional shapes.
Jegyeong Ryu+5 more
wiley +1 more source
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. [PDF]
Peng B+5 more
europepmc +1 more source
Machine Comprehension Based on Learning to Rank
Tian Tian, Yuezhang Li
openalex +2 more sources
Low-rank kernel learning for graph-based clustering [PDF]
Zhao Kang+3 more
openalex +1 more source
Internal Temperature Evolution Metrology and Analytics in Li‐Ion Cells
This study investigates the non‐linear evolution of internal temperatures across diverse operating conditions, highlighting the disparities between internal and external measurements and the resulting thermal asymmetries. The coupled thermo‐electrochemical modeling framework provides a comprehensive analysis of various heat generation modes, examining ...
Anuththara S. J. Alujjage+5 more
wiley +1 more source
Sorting protein decoys by machine-learning-to-rank. [PDF]
Jing X, Wang K, Lu R, Dong Q.
europepmc +1 more source
Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir+8 more
wiley +1 more source
MQAPRank: improved global protein model quality assessment by learning-to-rank. [PDF]
Jing X, Dong Q.
europepmc +1 more source