Results 141 to 150 of about 524,166 (313)
High speed Raman spectroscopy has various applications, e.g. the sequencing of proteins. However, low signal intensity coincides with the low measurement time. The study presents a protocol using only a small number of sensitive single‐photon detectors measuring optimized spectral regions.
Jannis Weinacker+8 more
wiley +1 more source
Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin+8 more
wiley +1 more source
Advances in Early Warning of Thermal Runaway in Lithium‐Ion Battery Energy Storage Systems
This review presents a comprehensive analysis of cutting‐edge sensing technologies and strategies for early detection and warning of thermal runaway in lithium‐ion battery energy storage systems. It discusses the factors inducing thermal runaway, the evolution mechanism, and the detectable characteristic signals, along with advancements in ...
Duzhao Han+3 more
wiley +1 more source
Learning a Decision Tree Algorithm with Transformers
Decision trees are renowned for their ability to achieve high predictive performance while remaining interpretable, especially on tabular data. Traditionally, they are constructed through recursive algorithms, where they partition the data at every node in a tree.
Zhuang, Yufan+4 more
openaire +2 more sources
Robust Machine Learning Applied to Astronomical Data Sets. I. Star‐Galaxy Classification of the Sloan Digital Sky Survey DR3 Using Decision Trees [PDF]
Nicholas M. Ball+3 more
openalex +1 more source
Fast response, zero‐power, text or image sensors utilizing light transmission or reflection, and no unfavorable color change judgments, are fabricated using printed nematic liquid crystals patterned on reactive alignment layers, permit ppt‐ to ppb‐level sensitivity, and were field‐tested with active firefighters.
Ryan A. Williams+9 more
wiley +1 more source
Selecting effective siRNA sequences by using radial basis function network and decision tree learning [PDF]
Shigeru Takasaki+2 more
openalex +1 more source
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
Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models
The research is set to predict solar irradiation using various machine learning algorithms. This is done in order to construct and develop a high-efficiency prediction model that uses actual meteorological data to predict daily solar irradiance for the ...
Ibrahim Abdulwahab+8 more
doaj +3 more sources
Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion
This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar+2 more
wiley +1 more source