Results 91 to 100 of about 23,485 (319)
A Comprehensive Survey on the Implementations, Attacks, and Countermeasures of the Current NIST Lightweight Cryptography Standard [PDF]
Jasmin Kaur +3 more
openalex +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
TreeSpider: In‐Canopy Exploration With Tether‐Based Aerial Modular Arms
A tethered drone with perching arms and a 360° ring enables unprecedented maneuverability within dense forest canopies. By dynamically adjusting tether length and decoupling pitch from the frame, it navigates between branches, senses multiple trees, and interacts physically with foliage.
Luca Romanello +7 more
wiley +1 more source
An Efficient Lightweight Cryptographic Instructions Set Extension for IoT Device Security [PDF]
Wajih El Hadj Youssef +4 more
openalex +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
CephArmor: A Lightweight Cryptographic Interface for Secure High-Performance Ceph Storage Systems [PDF]
Fatemeh Khoda Parast +4 more
openalex +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa +2 more
wiley +1 more source
Lightweight Cryptography in UAV systems
The development and adoption of lightweight cryptographic algorithms have become increasingly important due to the growing volume of data transmitted by unmanned aerial vehicles (UAVs) and other unmanned systems. These systems demand security solutions that are both efficient and resource-conscious.
Maksym Skorobahatko +1 more
openaire +3 more sources

