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Low-Code Development Platform Market Research Report 2030, Growth Trends and Competition with CAGR of 31.6% - Vimarsana News

Low-Code Development Platform Market Research Report 2030, Growth Trends and Competition with CAGR of 31.6%

The Low-Code Development Platform market is segmented on the basis of type, product, end user, etc. Segmentation helps provide an accurate description of the market.

"Novel Soft Haptic Biofeedback—Pilot Study on Postural Balance and Prop" by Mert Aydin, Rahim Mutlu et al. - Vimarsana News

"Novel Soft Haptic Biofeedback—Pilot Study on Postural Balance and Prop" by Mert Aydin, Rahim Mutlu et al.

Sensory feedback is critical in proprioception and balance to orchestrate muscles to perform targeted motion(s). Biofeedback plays a significant role in substituting such sensory data when sensory functions of an individual are reduced or lost such as neurological disorders including stroke causing loss of sensory and motor functions requires compensation of both motor and sensory functions. Biofeedback substitution can be in the form of several means: mechanical, electrical, chemical and/or combination. This study proposes a soft monolithic haptic biofeedback device prototyped and pilot tests...

Source: uow.edu.au
Intelligent Soft Sensor Market to Develop Rapidly by 2028 - Vimarsana News

Intelligent Soft Sensor Market to Develop Rapidly by 2028

Intelligent Soft Sensor Market to Develop Rapidly by 2028

Intelligent Soft Sensor Market to Develop Rapidly by 2028 - Vimarsana News

Intelligent Soft Sensor Market to Develop Rapidly by 2028

Intelligent Soft Sensor Market to Develop Rapidly by 2028

"Quality-related locally weighted soft sensing for non-stationary proce" by Yuxue Xu, Yun Wang et al. - Vimarsana News

"Quality-related locally weighted soft sensing for non-stationary proce" by Yuxue Xu, Yun Wang et al.

Soft sensors are widely used to predict quality variables which are usually hard to measure. It is necessary to construct an adaptive model to cope with process non-stationaries. In this study, a novel quality-related locally weighted soft sensing method is designed for non-stationary processes based on a Bayesian network with latent variables. Specifically, a supervised Bayesian network is proposed where quality-oriented latent variables are extracted and further applied to a double-layer similarity measurement algorithm. The proposed soft sensing method tries to find a general approach for n...

Source: uow.edu.au