Results 141 to 150 of about 5,474,085 (350)
Advanced Sensor Research, EarlyView.This study introduces a textile‐based capacitive pressure sensor featuring a triangular prism microstructure, which significantly enhances sensitivity to 5.52% kPa−¹ and supports a wide sensing range up to 330 kPa. The sensor's performance is validated in a 4‐channel capacitive pressure‐based force myography (cFMG) armband for gesture recognition ...
Rayane Tchantchane +3 more
wiley +1 more source
Simulating medical decision trees with random variable parameters [PDF]
, 1992 Robert S. Dittus, Robert W. Klein
openalex +1 more source
Advanced Sensor Research, EarlyView.A wearable capacitive eye tracker for chronic fatigue assessment is presented, utilizing cylindrically shaped capacitive sensors made of a carbon nanotube‐paper composite. By integrating a novel fatigue‐induction protocol with machine learning, the device achieves 0.75‐sensitivity and 0.73‐specificity, providing a practical alternative to existing ...
Tianyi Li +6 more
wiley +1 more source
Advanced Sensor Research, EarlyView.This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh +11 more
wiley +1 more source
EcosphereStand spatial structure plays a key role in forest management, and in particular the random structural unit, comprising random tree and its neighbors, largely determines forest stability and its productivity.
Jing Zhang +3 more
doaj +1 more source
Advancements in Plant Diagnostic and Sensing Technologies
Advanced Sensor Research, EarlyView.This review explores plant diagnostic and sensing technologies, highlighting key traits, structures, and metabolites. It covers conventional methods like leaf light reflectance and fluorescence, as well as advanced optical techniques such as Fourier transform infrared spectroscopy and Raman spectroscopy. The integration of machine learning, statistical
Shalini Krishnamoorthi +7 more
wiley +1 more source
Constructing Binomial Trees Via Random Maps for Analysis of Financial Assets
Revista Brasileira de Finanças, 2010 Random maps can be constructed from a priori knowledge of the financial assets. It is also addressed the reverse problem, i.e. from a function of an empirical stationary probability density function we set up a random map that naturally leads to an ...
Antonio Airton Carneiro de Freitas +1 more
doaj
Classification of Biodegradable Substances Using Balanced Random Trees and Boosted C5.0 Decision Trees. [PDF]
Int J Environ Res Public Health, 2020 Elsayad AM +3 more
europepmc +1 more source
Advanced Theory and Simulations, EarlyView.Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain +2 more
wiley +1 more source
The botanical beauty of random binary trees [PDF]
, 1996 Luc Devroye, Paul Kruszewski
openalex +1 more source