Results 71 to 80 of about 5,726,851 (263)

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Reliable cross-view neighborhood relation transfer and high-order semantic structure mining for incomplete multi-view partial multi-label classification

Journal of King Saud University: Computer and Information Sciences
Multi-view multi-label classification has attracted increasing attention because it can characterize complex real-world data from multiple perspectives.
Jiayan Li, Zhixian Jiang, Wenbin Bu, Nisuo Du, Xiaohuan Lu   +4 more
doaj   +1 more source

Hierarchical Product Recognition Under Partial Supervision for Retail Environments

Logistics
Background: Retail product recognition is difficult in practice because products often look similar, class distributions are unbalanced, and annotations usually contain only one observed product label, even though products belong to broader category ...
Mohammad Hori, Bernd Noche, Abbas Horri
doaj   +1 more source

EnzML : multi-label prediction of enzyme classes using InterPro signatures [PDF]

, 2012
LDF is funded by ONDEX DTG, BBSRC TPS Grant BB/F529038/1 of the Centre for Systems Biology at Edinburgh and the University of Newcastle. SA is supported by by a Wellcome Trust Value In People award and, together with IG, the Centre for Systems Biology at
Goryanin Igor, Igor Goryanin, van Hemert, Jano; id_orcid, Jano van Hemert, Aitken, Stuart, Goryanin, Igor, De Ferrari, Luna; id_orcid, De Ferrari Luna, van Hemert Jano, De Ferrari, Luna, van Hemert, Jano, Goryanin, Igor; id_orcid, Luna De Ferrari, Stuart Aitken, Aitken Stuart   +14 more
core   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

Enhancing Query Understanding in Educational Question Answering Systems Through Neural Models

IEEE Access
Accurate query type prediction is a critical component in knowledge graph-based Question Answering (QA) systems, enabling efficient query processing and facilitating the generation of query-specific responses.
B. P. Swathi, M. Geetha, M. V. Suhas
doaj   +1 more source

A review of associative classification mining [PDF]

, 2007
Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Fadi Abdeljaber Thabtah, Thabtah, Fadi
core   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Advancing Defect Detection in Laser Welding: A Machine Learning Approach Based on Spatter Feature Analysis

Sensors
Full-penetration laser welding (FPLW) is increasingly adopted in manufacturing pipelines, yet its industrial scalability is constrained by in-process defect formation, particularly incomplete penetration.
Gleb Solovev, Evgenii Klokov, Dmitrii Krasnov, Mikhail Sokolov   +3 more
doaj   +1 more source

A review of multi-instance learning assumptions [PDF]

, 2010
Multi-instance (MI) learning is a variant of inductive machine learning, where each learning example contains a bag of instances instead of a single feature vector.
Frank, Eibe, Foulds, James Richard
core   +1 more source