Results 161 to 170 of about 11,278 (258)

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

Information hiding in the sharing domain

open access: yesJournal of Visual Communication and Image Representation, 2022
Fengyue Xing   +3 more
openaire   +1 more source

Solid‐State Nanopore Characterization of Dendrimer‐Peptide Conjugates Across Defined Peptide Loadings

open access: yesAdvanced Materials Interfaces, EarlyView.
Solid‐state nanopores are used to interrogate dendrimer‐peptide conjugates with systematically varied peptide loading. Single‐particle ionic current signatures reveal how ligand density modulates deformability, transport pathways, and electromechanical coupling during translocation.
Chaoming Gu   +7 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Hiding Secret Information Using Adaptive Side-Match VQ

open access: yes, 2009
[[abstract]]The major application of digital data hiding techniques is to deliver confidential data secretly via public but unreliable computer networks.
Chang, C. C. ; Wu, W. C. ; Tsou, C. C.
core  

Shaping Carbon Nitrides for Advanced Macrostructures

open access: yesAdvanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Z2Z4-Additive Perdect Codes in Steganography

open access: yes, 2011
Steganography is an information hiding application which aims to hide secret data imperceptibly into a cover object. In this paper, we describe a novel coding method based on Z2Z4-additive codes in which data is embedded by distorting each cover ...
Rifà Pous, Helena   +2 more
core  

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

open access: yesAdvanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen   +3 more
wiley   +1 more source

Secret multimedia information sharing with data hiding capability by simple logic operations

open access: yes, 2009
[[abstract]]An effective scheme for secret multimedia information sharing with data-hiding capability is pro-posed. Sharing is accomplished by transforming a set of secret data into an arbitrary number of sets of prede- signed camouflage data and a ...
C. C. Lin;W. H. Tsai
core  

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

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