Results 211 to 220 of about 1,101,099 (365)
Advanced Engineering Materials, EarlyView.The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley +1 more source
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. [PDF]
IEEE EMBS Int Conf Biomed Health Inform, 2019 Peng B +5 more
europepmc +1 more source
BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation
, 2016 Huifeng Guo +4 more
openalex +2 more sources
X-DART: blending dropout and pruning for efficient learning to rank [PDF]
, 2017 Claudio Lucchese +4 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler +4 more
wiley +1 more source
Sorting protein decoys by machine-learning-to-rank. [PDF]
Sci Rep, 2016 Jing X, Wang K, Lu R, Dong Q.
europepmc +1 more source
Low-rank kernel learning for graph-based clustering [PDF]
, 2018 Zhao Kang +3 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.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
MQAPRank: improved global protein model quality assessment by learning-to-rank. [PDF]
BMC Bioinformatics, 2017 Jing X, Dong Q.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This work applies High‐Speed Nanoindentation to study multi‐material transitions in powder bed fusion–electron beam melting components. The aim is to assess the mechanical gradients and interfacial behavior between American iron and steel institute 316L stainless steel and V4E tool steel in additively manufactured structures.
Laia Ortiz‐Membrado +6 more
wiley +1 more source