Results 131 to 140 of about 14,848 (289)
Remote sensing image scene classification holds significant application value and has long been a research hotspot in remote sensing. However, remote sensing images contain diverse objects and complex backgrounds.
Xinliang Ma +4 more
doaj +1 more source
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
Spiking neural networks (SNNs) have attracted considerable attention for their event-driven, low-power characteristics and high biological interpretability.
Ding, Yongqi +4 more
core
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
This paper proposes an Online Prototype Angular Balanced Self-Distillation (OPAB) framework to address the challenges posed by non-ideal annotation in remote sensing image semantic segmentation.
Hailun Liang +4 more
doaj +1 more source
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Enhancing Arabic Multi-Task Sentiment Analysis Through Distillation and Adversarial Training
The rapid growth of Arabic social media content requires the development of accurate and efficient methods for sentiment analysis. We propose a resource-efficient multi-task learning (MTL) framework for modern standard Arabic (MSA).
Hafida Hidani +2 more
doaj +1 more source
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
Sequential recommendation methods play a pivotal role in modern recommendation systems. A key challenge lies in accurately modeling user preferences in the face of data sparsity. To tackle this challenge, recent methods leverage contrastive learning (CL)
Gu, Jinjie +7 more
core
Hybrid Magnetoactive Soft Elastomers: Material Development Toward Application in Diaphragm Pumps
Hybrid magnetoactive soft elastomeric membranes are developed by combining two different types of magnetic particles. The membranes exhibit distinct mechanical, magnetic and thermal properties owing to the unique characteristics of the two magnetic particles.
Somashree Mondal +4 more
wiley +1 more source
We report a multi‐jet, layer‐by‐layer electrospray‐assisted interfacial polymerization (LBL‐EAIP) approach for the scalable fabrication of polyamide reverse osmosis (RO) membranes. The method enables precise control of polymerization, uniform polyamide coverage, and tunable polyamide film thickness, while delivering consistently high filtration ...
Yue Feng +5 more
wiley +1 more source

