Results 51 to 60 of about 144,681 (230)
Smart Catheters for Diagnosis, Monitoring, and Therapy
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman +12 more
wiley +1 more source
End-User Skin Analysis (Moles) through Image Acquisition and Processing System
Skin moles and lesions can be the first signs of severe skin diseases such as cancer. This paper presents the development of an end-user device capable of capturing images, segmentation and diagnosis of moles by using the ABCD rule, which stands for ...
Lorant Andras Szolga +2 more
doaj +1 more source
Self‐Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications
This study presents a novel design of a neuromorphic pressure sensor that can generate self‐spiking symmetric signals with direct event‐based encoding through the integration of magnetic spheres and alternating coil circuits. The key advantages of this work include high linearity up to 200 kPa (R2 = 0.997), self‐spiking behavior for simplified signal ...
Jingyi Yang +17 more
wiley +1 more source
Designing a Robotic Platform for Investigating Swarm Robotics [PDF]
This paper documents the design and subsequent construction of a low-cost, flexible robotic platform for swarm robotics research, and the selection of appropriate swarm algorithms for the implementation of a swarm focused predominantly on target location.
Gray, Jonathan
core +1 more source
Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array
This study presents a hardware physical reservoir computing system using a tri‐modal memristive crossbar array. Stochastic masking, bistable nonlinear activation, and analog readout enable fully in‐memory spatiotemporal processing. Demonstrations on cellular automata, Lorenz prediction, ADHD EEG classification, and chaotic KS modeling highlight its ...
Sungho Kim +10 more
wiley +1 more source
Design and Evaluation of a 28-nm FD-SOI STT-MRAM for Ultra-Low Power Microcontrollers
The complexity of embedded devices increases as today's applications request always more services. However, the power consumption of systems-on-chip has significantly increased due to the high-density integration and the high leakage power of current ...
Guillaume Patrigeon +5 more
doaj +1 more source
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source
Spike-based control monitoring and analysis with Address Event Representation [PDF]
Neuromorphic engineering tries to mimic biological information processing. Address-Event Representation (AER) is a neuromorphic communication protocol for spiking neurons between different chips.
Berner, R. +4 more
core
Soft and Strong: Elastic Conductors with Bio‐Inspired Self‐Protection
A general reverse‐engineering approach is demonstrated for designing functional yarns that uses woven fabric architecture as a structural framework. The fabric‐based stretchable conductive yarns combine flexibility, high elasticity, low stiffness, self‐protection, and weavability with conventional textile processes. By fine‐tuning the number of elastic
Chenglong Zhang +12 more
wiley +1 more source
Digital thickness meter using infrared sensor
Introduction: Knowing of patient thickness helps to determine the proper current and voltage of x-ray tube. Lesions on radiographs can be clearly seen and provide an accurate diagnosis.
Onuma Wayopat, Panatsada Awikunprasert
doaj

