Results 251 to 260 of about 18,721 (312)

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Quantum scrambling and DNA based multilayer image encryption with QTRNG and 6D hyperchaotic keys. [PDF]

Sci Rep
Sridharan S, Ts G, Amirtharajan R, Praveenkumar P.   +3 more
europepmc   +1 more source

From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices

Advanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle, María Ángeles Navacerrada, Johan Christensen, Carlos González   +3 more
wiley   +1 more source

A secure and efficient image encryption scheme based on chaotic systems and nonlinear transformations. [PDF]

Sci Rep
Alexan W, Shabasy NHE, Ehab N, Maher EA.
europepmc   +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
wiley   +1 more source

A dynamic image encryption scheme through 2-D cellular automata and chaotic logistic map. [PDF]

Sci Rep
Abdul Y, Ramasamy V, Kukaram G, Boulaaras S, Alharbi A.   +4 more
europepmc   +1 more source

A novel image encryption framework using Wireworld cellular automaton and hybrid chaotic maps for enhanced security. [PDF]

PLoS One
Alabdullah B, Alsolai H, Alhayan F, Ikram A, Almjally A, Shehab M, Albahar MA.   +6 more
europepmc   +1 more source

Correction: Cellular automata based key distribution for lightweight hybrid image encryption with elliptic curve cryptography. [PDF]

Sci Rep
Yogi B, Khan AK, Roy S.
europepmc   +1 more source

A novel memristor-based hyperchaotic hybrid encryption system with DNA for image encryption on the Jetson TX2. [PDF]

Sci Rep
Ulutas H.
europepmc   +1 more source

Image Encryption Algorithm Based on Dynamic Rhombus Transformation and Digital Tube Model. [PDF]

Entropy (Basel)
Zhang X, Song Y, Huang K.
europepmc   +1 more source