Challenges in the Development of Soft Sensors for Bioprocesses: A Critical Review. [PDF]
Front Bioeng Biotechnol, 2021 Among the greatest challenges in soft sensor development for bioprocesses are variable process lengths, multiple process phases, and erroneous model inputs due to sensor faults.
Brunner V, Siegl M, Geier D, Becker T.
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Closing the Control Loop with Time-Variant Embedded Soft Sensors and Recurrent Neural Networks. [PDF]
Soft Robot, 2022 Embedded soft sensors can significantly impact the design and control of soft-bodied robots. Although there have been considerable advances in technology behind these novel sensing materials, their application in real-world tasks, especially in closed ...
George Thuruthel T, Gardner P, Iida F.
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RNN- and LSTM-Based Soft Sensors Transferability for an Industrial Process. [PDF]
Sensors (Basel), 2021 The design and application of Soft Sensors (SSs) in the process industry is a growing research field, which needs to mediate problems of model accuracy with data availability and computational complexity. Black-box machine learning (ML) methods are often
Curreri F, Patanè L, Xibilia MG.
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Soft Sensor Transferability: A Survey [PDF]
Applied Sciences, 2021 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
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Battery-free, wireless soft sensors for continuous multi-site measurements of pressure and temperature from patients at risk for pressure injuries. [PDF]
Nat Commun, 2021 Capabilities for continuous monitoring of pressures and temperatures at critical skin interfaces can help to guide care strategies that minimize the potential for pressure injuries in hospitalized patients or in individuals confined to the bed.
Oh YS +57 more
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Hand Gesture Recognition Using EGaIn-Silicone Soft Sensors. [PDF]
Sensors (Basel), 2021 Exploiting hand gestures for non-verbal communication has extraordinary potential in HCI. A data glove is an apparatus widely used to recognize hand gestures.
Shin S, Yoon HU, Yoo B.
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Stretchable Sensors for Soft Robotic Grippers in Edge-Intelligent IoT Applications
Sensors, 2023 The rapid development of electronic material and sensing technology has enabled research to be conducted on liquid metal-based soft sensors. The application of soft sensors is widespread and has many applications in soft robotics, smart prosthetics, and ...
Prosenjit Kumar Ghosh +1 more
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Formation of Giant Unilamellar Vesicles Assisted by Fluorinated Nanoparticles
Advanced Science, 2023 In the quest to produce artificial cells, one key challenge that remains to be solved is the recreation of a complex cellular membrane. Among the existing models, giant unilamellar vesicles (GUVs) are particularly interesting due to their intrinsic ...
Jorik Waeterschoot +5 more
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Soft Sensors in the Primary Aluminum Production Process Based on Neural Networks Using Clustering Methods. [PDF]
Sensors (Basel), 2019 Primary aluminum production is an uninterrupted and complex process that must operate in a closed loop, hindering possibilities for experiments to improve production.
Souza AMF +6 more
europepmc +2 more sources
Data-driven soft sensors in blast furnace ironmaking: a survey
Frontiers of Information Technology & Electronic Engineering, 2023 The blast furnace is a highly energy-intensive, highly polluting, and extremely complex reactor in the ironmaking process. Soft sensors are a key technology for predicting molten iron quality indices reflecting blast furnace energy consumption and ...
Yueyang Luo +5 more
semanticscholar +1 more source