Results 111 to 120 of about 15,579,173 (247)

Multi-Level Reversible Data Hiding with Prediction-Based Approach

open access: yes, 2014
In this paper, we propose a new algorithm in reversible data hiding with prediction-based scheme.Reversible data hiding can be implemented with two types, one is by modifYing the histogram of images, named the histogram-based scheme, and the other is by ...
Huang, Hsiang-Cheh; Chen, Yueh-Hong; Chang, Feng-Cheng; Li, Sheng-Hong
core  

Sub‐1 ms Optoelectronic Synapse Based on {ZnCdO/ZnO} Multilayer Structure for High‐Speed Neuromorphic Vision Systems

open access: yesAdvanced Functional Materials, EarlyView.
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski   +3 more
wiley   +1 more source

Current‐Driven Chirality Detection of Magnetic Textures in Cylindrical Nanowires

open access: yesAdvanced Functional Materials, EarlyView.
Current‐assisted anisotropic magnetoresistance measurements in individual Ni/Au cylindrical nanowires enable detection of vortex chirality near Au segments and selective magnetic reversal in defined wire sections at magnetic fields lower than the propagation field. This approach provides a simple, cost‐effective, and non‐invasive method for probing and
Javier Rial   +6 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long   +26 more
wiley   +1 more source

Information hiding using steganography [PDF]

open access: yes, 2003
The Internet as a whole does not use secure links, thus information in transit may be vulnerable to interception as well. The important of reducing a chance of the information being detected during the transmission is being an issue now days.
Katmin, Mohd. Rozi   +3 more
core  

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

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

open access: yesAdvanced 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

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