Results 261 to 270 of about 2,214,189 (355)
Decoupling bending modes in magneto–mechano–electric energy harvesters, featuring two bending modes responding to different excitations with identical resonant frequencies, enables effective harvesting stray magnetic field energy in diverse environments.
Wei Peng+7 more
wiley +1 more source
Image Encryption using Elliptic Curve Cryptography
L. D. Singh, K. M. Singh
semanticscholar +1 more source
Doped Zinc Oxide‐Based Piezoelectric Devices for Energy Harvesting and Sensing
This review provides a comprehensive overview of material properties, synthesis methods, and characterization techniques of doped ZnO, emphasizing the impact of doping on its structural and functional attributes. It highlights key findings, identifies knowledge gaps, and proposes future research directions to optimize doped ZnO for energy harvesting ...
Congran Jin+3 more
wiley +1 more source
Spring and Power in Hovering Ornithopters
Only small ornithopters can hover, longest at the hummingbird size. This article reviews the drive and power of these hovering machines, focusing on elastic energy and thrust boosters. Unlike two‐winged designs, X‐winged and multiple‐V‐winged ornithopters benefit from lower disk loading and slower, smaller wingbeats, and the clap‐and‐fling effect ...
Gih‐Keong Lau+4 more
wiley +1 more source
Computing all S-integral points on elliptic curves
Attila Pethö+3 more
openalex +2 more sources
A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes
The mixed convolutional transformer model represents a novel approach for the accurate and rapid diagnosis of glioma subtypes. This model employs advanced, complex layers and functions, establishing its uniqueness and enhancing its ability to deliver precise outcomes in glioma subtype detection.
S. M. Nuruzzaman Nobel+7 more
wiley +1 more source
An Enhanced Biometric Based Authentication with Key-Agreement Protocol for Multi-Server Architecture Based on Elliptic Curve Cryptography. [PDF]
Reddy AG, Das AK, Odelu V, Yoo KY.
europepmc +1 more source
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen+4 more
wiley +1 more source
This article presents a developed methodology to achieve robust tactile perception with spatially designed electronic skin (e‐skin) utilizing laser‐induced graphene (LIG). To enhance LIG‐based e‐skin, the fabrication of the e‐skin is simplified and advanced decoding algorithms are employed, effectively circumventing several intrinsic issues of ...
Gyeonghwa Heo+4 more
wiley +1 more source