Results 311 to 320 of about 2,031,469 (352)
This article answers the question “Where is the best place to apply compliance in a multirotor micro aerial vehicle to make it more collision‐resilient?” by analyzing the output data of more than 1200 drone collision tests for four main configurations of micro‐quadcopters each possessing a unique softness layout of physical frame.
Amirali Abazari+3 more
wiley +1 more source
Novel Word Embedding and Translation-based Language Modeling for Extractive Speech Summarization
Kuan-Yu Chen+4 more
openalex +2 more sources
Teleoperated Magnetic Endoscopy: A Case Study and Perspective
This perspective highlights the recent research efforts in robotic magnetic platforms for telesurgery and their translation to clinical settings for endoscopic procedures. To demonstrate this approach, this work also introduces an in vivo gastroscopy performed in a porcine model, during which an operator in Zurich, Switzerland, successfully controls a ...
Alexandre Mesot+8 more
wiley +1 more source
Query Expansion with Locally-Trained Word Embeddings
Fernando Díaz+2 more
openalex +2 more sources
A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang+12 more
wiley +1 more source
In this article, an energy‐efficient hardware implementation of spiking‐restricted Boltzmann machines using the pseudo‐synaptic sampling (PS2) method is presented. In the PS2 method, superior area and energy efficiency over previous approaches, such as the random walk method, are demonstrated, achieving a 94.94% reduction in power consumption during on‐
Hyunwoo Kim+10 more
wiley +1 more source
Algorithmically Enhanced Wearable Multimodal Emotion Sensor
This study presents a fully printed, organic wearable sensor for multimodal emotion sensing by noninvasively monitoring physiological indicators like physiological pulse, breathing patterns, and voice signatures. Using LSTM networks and Q‐learning, the system achieves over 91% accuracy, offering a pathway to understanding complex emotions and enhancing
Anand Babu+4 more
wiley +1 more source
Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications
Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu+4 more
wiley +1 more source