Results 91 to 100 of about 24,671,802 (285)
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris +7 more
wiley +1 more source
Deep consensus semantic aware network for partial multi-view incomplete multi-label classification
Recently, multi-view multi-label classification (MVMLC) has attracted considerable attention, particularly in the computer vision field. However, due to overlooking incomplete views and missing labels caused by data collection limitations and unreliable ...
Bo Shao, Yang Xu
doaj +1 more source
Multi‑view Subspace Clustering Method Based on Tensor Low‑Rank Learning
Multi-view clustering is a powerful technique for improving analytical performance by fusing complementary multi-source information. However, there are deficient in two ways: It neglects the strong inherent correlation between representation tensors and ...
SHI Desheng, XU He, LI Peng
doaj +1 more source
Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors
Multi-view clustering has gained increasing attention by utilizing the complementary and consensus information across views. To alleviate the computation cost for the existing multi-view clustering approaches on datasets with large scales, studies based ...
Qin, Yalan, Zhang, Xinpeng, Feng, Guorui
core +1 more source
Bioengineered Interfaces for Peripheral Nerve Sensory Restoration
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick +4 more
wiley +1 more source
Low-rank-aware deep clustering for large-scale multiview data
Multi-view clustering integrates complementary signals from multiple heterogeneous views to reveal hidden grouping structures. It has become increasingly relevant in large-scale practical scenarios, such as recommendation systems and multimedia ...
Yueyao Li, Bin Wu
doaj +1 more source
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion
Due to its effectiveness and efficiency, graph-based multi-view clustering has recently attracted much attention. However, the multi-view data are often incomplete and unpaired in real-world applications as a consequence of data loss or corruption ...
Xu, Bo +4 more
core +1 more source
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski +5 more
wiley +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source

