Results 121 to 130 of about 85,077 (292)
Advanced Sensor Research, EarlyView.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]
, 2006 Shigeru Takasaki +2 more
openalex +1 more source
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
Lazy Learning for Improving Ranking of Decision Trees
, 2006 Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based ranking. In this paper, we aim to improve probability-based ranking under decision tree paradigms using AUC as the evaluation metric. We deploy a lazy probability estimator at
Liang, H., Yan, Y.
openaire +3 more sources
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
Artificial intelligence algorithms for predicting post-operative ileus after laparoscopic surgery
HeliyonObjective: By constructing a predictive model using machine learning and deep learning technologies, we aim to understand the risk factors for postoperative intestinal obstruction in laparoscopic colorectal cancer patients, and establish an effective ...
Cheng-Mao Zhou +4 more
doaj
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
Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion
Advanced Sustainable Systems, EarlyView.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
Learning and Evaluating Possibilistic Decision Trees using Information Affinity [PDF]
, 2010 Ilyes Jenhani +2 more
openalex +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