Results 151 to 160 of about 23,730,815 (255)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Privacy-Preserving Reversible Data Hiding for Medical Images Employing Local Rotation. [PDF]

J Healthc Eng, 2021
Su GD, Lin CC, Chang CC.
europepmc   +1 more source

Hiding Predictive Association Rules on Horizontally Distributed Data

, 2012
[[abstract]]Hiding Predictive Association Rules on Horizontally Distributed ...
王學亮
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

From Pixel Modification to Generative Synthesis: A Survey of Deep Learning for Image Data Hiding. [PDF]

J Imaging
Janok M, Forgáč R, Hluchý L.
europepmc   +1 more source

Generalized Reversible Data Hiding with Content-Adaptive Operation and Fast Histogram Shifting Optimization. [PDF]

Entropy (Basel), 2021
Zhou L, Han H, Wu H.
europepmc   +1 more source

A Lossy Compression Tolerant Data Hiding Method Based on JPEG and VQ

, 2009
[[abstract]]A lossy compression tolerant data hiding method is proposed in this paper. The image which hides data is named a stego-image. Most of data hiding methods will lose some hidden data when the stego-image is compressed by iossy compression ...
Ren-Junn Hwang; Timothy k. Shih;Chuan-Ho Kao
core  

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

High-Payload and Secure Data Hiding for Medical Images in IoMT-Based eHealth Systems. [PDF]

Sensors (Basel)
Wang Y, Lin Y, Chang CC, Chang CC, Hwang WY.   +4 more
europepmc   +1 more source