Results 181 to 190 of about 73,378 (364)
Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam +6 more
wiley +1 more source
Analysis of Factors Influencing Dropout Among Adult Learners in Korea: A Study Utilizing the Nontraditional Undergraduate Student Attrition Model [PDF]
Inseo Lee
openalex +1 more source
Advanced Intelligent Systems, EarlyView.FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
A Comprehensive Machine Learning Framework for Long-Term Student Dropout Prediction
Jin Baek Kwon
openalex +1 more source
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach [PDF]
Jiabei Cheng +4 more
openalex +1 more source
School Dropouts: Who Are They and What Can Be Done? [PDF]
While Canada has made progress in the past two decades in terms of lowering high-school dropout rates, those rates remain unacceptably high for boys and certain groups limited by poverty or other factors.
John Richards
core
Advanced Intelligent Systems, EarlyView.A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang +3 more
wiley +1 more source
The effect of grade retention on secondary school performance: Evidence from a natural experiment. [PDF]
PLoS OneParra-Cely S +2 more
europepmc +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Advanced Intelligent Systems, EarlyView.Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source