Results 171 to 180 of about 1,996,919 (352)

Responsive Molecules for Organic Neuromorphic Devices: Harnessing Memory Diversification

open access: yesAdvanced Materials, EarlyView.
Responsive molecules are essential for organic in‐sensor computing devices. This Review highlights recent advances in thedesign, synthesis, and incorporation of electrically, optically, and magnetically responsive molecules in multifunctional synaptic perception devices endowedwith both nonvolatile and volatile memory diversification. By exploiting the
Yusheng Chen   +4 more
wiley   +1 more source

Leveraging U-Net and selective feature extraction for land cover classification using remote sensing imagery

open access: yesScientific Reports
In this study, we explore an enhancement to the U-Net architecture by integrating SK-ResNeXt as the encoder for Land Cover Classification (LCC) tasks using Multispectral Imaging (MSI). SK-ResNeXt introduces cardinality and adaptive kernel sizes, allowing
Leo Thomas Ramos, Angel D. Sappa
doaj   +1 more source

Recent Advances in Wide‐Bandgap Perovskite Solar Cells

open access: yesAdvanced Materials, EarlyView.
Ubiquitous defects predominately account for photo‐instability and open‐circuit voltage losses in wide‐bandgap perovskite solar cells (WBG PSCs). This review comprehensively presents the underlying impact mechanisms, summarizes the advanced optimization strategies across various functional layers and their interfaces to develop efficient and stable WBG
Jianjun Mei, Feng Yan
wiley   +1 more source

Photonic Nanomaterials for Wearable Health Solutions

open access: yesAdvanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park   +3 more
wiley   +1 more source

Smart Dust for Chemical Mapping

open access: yesAdvanced Materials, EarlyView.
This review article explores the advancement of smart dust networks for high‐resolution spatial and temporal chemical mapping. Comprising miniature, wireless sensors, and communication devices, smart dust autonomously collects, processes, and transmits data via swarm‐based communication.
Indrajit Mondal, Hossam Haick
wiley   +1 more source

LM4LV: A Frozen Large Language Model for Low-level Vision Tasks [PDF]

open access: yesarXiv
The success of large language models (LLMs) has fostered a new research trend of multi-modality large language models (MLLMs), which changes the paradigm of various fields in computer vision. Though MLLMs have shown promising results in numerous high-level vision and vision-language tasks such as VQA and text-to-image, no works have demonstrated how ...
arxiv  

Home - About - Disclaimer - Privacy