Results 141 to 150 of about 2,442,732 (352)
Integrating Hardware Security into a Blockchain-Based Transactive Energy Platform [PDF]
Shammya Shananda Saha+4 more
openalex +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Hardware-based Security for Virtual Trusted Platform Modules
Sami Alsouri+3 more
openalex +2 more sources
Transys: Leveraging Common Security Properties Across Hardware Designs [PDF]
Rui Zhang, Cynthia Sturton
openalex +1 more source
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando+4 more
wiley +1 more source
Base Platform Security Hardware Building Blocks [PDF]
Sunil Cheruvu+3 more
openalex +1 more source
Guest Editors’ Introduction: Special Issue on Top Picks in Hardware and Embedded Security [PDF]
Rosario Cammarota, Francesco Regazzoni
openalex +1 more source
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus+4 more
wiley +1 more source
Statistical RF/Analog Integrated Circuit Design Using Combinatorial Randomness for Hardware Security Applications [PDF]
Ethan Chen, Vanessa Chen
openalex +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source