Results 51 to 60 of about 24,671,802 (285)

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

Tensorized Consensus Graph Learning for Incomplete Multi-View Clustering with Confidence Integration

open access: yesApplied Sciences
Graph-based multi-view clustering has gained significant attention in recent years due to its superior ability to reveal clustering structures. However, existing methods often incur high computational costs when capturing local information and overlook ...
Guangqi Jiang   +3 more
doaj   +1 more source

Partial Multi-View Clustering Based on Sparse Embedding Framework

open access: yesIEEE Access, 2019
In this paper, we propose a novel partial multi-view clustering method based on the sparse embedding framework, which can handle incomplete view data well and obtain good clustering performance.
Mingshu Ji   +4 more
doaj   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

open access: yesAdvanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

open access: yesAdvanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto   +4 more
wiley   +1 more source

A Method for Consensus Anchor Graph Learning for Incomplete Multi-View Clustering

open access: yesIEEE Access
Multi-view clustering (MVC) is a prevalent method for integrating heterogeneous domain-specific information from diverse views. However, most MVC methods assume that all views have complete observed data, which is often unfeasible in practical ...
Seungmin Lee   +4 more
doaj   +1 more source

Multi-view dreaming: multi-view world model with contrastive learning

open access: yes, 2023
In this paper, we propose Multi-View Dreaming, a novel reinforcement learning agent for integrated recognition and control from multi-view observations by extending Dreaming.
Tadahiro Taniguchi (4953358)   +3 more
core   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Structure-guided decoupled contrastive framework for partial multi-view incomplete multi-label classification

open access: yesJournal of King Saud University: Computer and Information Sciences
Recently, multi-view multi-label learning has gained significant attention due to its applicability in various domains. However, due to the limitations of data collection and the subjectivity of manual labeling, multi-view multi-label learning often ...
Linqian Yang   +4 more
doaj   +1 more source

Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding

open access: yes, 2023
Incomplete multi-view clustering becomes an important research problem, since multi-view data with missing values are ubiquitous in real-world applications.
Chu, Dianhui, Chao, Guoqing, Jiang, Yi
core  

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