Results 11 to 20 of about 1,607,560 (272)
Capacitive soft force sensors require electrical shielding from electromagnetic interference, but this shielding can mess with the effectiveness of the sensing electrodes. Here, Aksoy et al.
Bekir Aksoy +5 more
doaj +5 more sources
Soft touchless sensors and touchless sensing for soft robots
Soft robots are characterized by their mechanical compliance, making them well-suited for various bio-inspired applications. However, the challenge of preserving their flexibility during deployment has necessitated using soft sensors which can enhance ...
Chapa Sirithunge +2 more
doaj +5 more sources
Nature-Inspired Adaptive Architecture for Soft Sensor Modelling [PDF]
This paper gives a general overview of the challenges present in the research field of Soft Sensor building and proposes a novel architecture for building of Soft Sensors, which copes with the identified challenges.
Gabrys, Bogdan, Kadlec, Petr
core +9 more sources
Soft Bionic Sensors and Actuators [PDF]
Woo Soo Kim, Jamie Paik
doaj +2 more sources
On robust and adaptive soft sensors. [PDF]
In process industries, there is a great demand for additional process information such as the product quality level or the exact process state estimation.
Kadlec, Petr
core +9 more sources
Soft Conductive Textile Sensors: Characterization Methodology and Behavioral Analysis
Resistive stretching sensors are currently used in healthcare robotics due to their ability to vary electrical resistance when subjected to mechanical strain.
Giulia Gamberini +2 more
doaj +2 more sources
Advances in Soft Strain and Pressure Sensors
Soft strain and pressure sensors represent a breakthrough in material engineering and nanotechnology, providing accurate and reliable signal detection for applications in health monitoring, sports management, human-machine interface, or soft robotics ...
Dinh, Toan +5 more
core +3 more sources
Soft Sensor Transferability: A Survey [PDF]
Soft Sensors (SSs) are inferential dynamical models employed in industries to perform prediction of process hard-to-measure variables based on their relation with easily accessible ones. They allow implementation of real-time control and monitoring of the plants and present other advantages in terms of costs and efforts.
Curreri, Francesco +2 more
openaire +3 more sources
Generalizability of Soft Sensors for Bioprocesses through Similarity Analysis and Phase-Dependent Recalibration. [PDF]
A soft sensor concept is typically developed and calibrated for individual bioprocesses in a time-consuming manual procedure. Following that, the prediction performance of these soft sensors degrades over time, due to changes in raw materials, biological
Siegl M +6 more
europepmc +2 more sources
Gating Artificial Neural Network Based Soft Sensor [PDF]
This work proposes a novel approach to Soft Sensor modelling, where the Soft Sensor is built by a set of experts which are artificial neural networks with randomly generated topology.
Gabrys, Bogdan, Kadlec, Petr
core +9 more sources

