MicromachinesThis study investigates supervised learning to improve LED classification. A hardware system for testing was built. The data for learning were acquired and then analyzed to show their characteristics.
Heesoo Shim, Sun Kyoung Kim
doaj +1 more source
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Feet Fidgeting Detection Based on Accelerometers Using Decision Tree Learning and Gradient Boosting
, 2018 Julien Esseiva +4 more
openalex +2 more sources
Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring
Advanced Materials Technologies, EarlyView.Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim +8 more
wiley +1 more source
Using artificial intelligence in education: decision tree learning results in secondary school students based on cold and hot executive functions [PDF]
Elena Escolano-Pérez +1 more
openalex +1 more source
Modeling and Improving Geometric Accuracy in Projection Multiphoton Lithography
Advanced Optical Materials, EarlyView.A numerical framework describing the optical and photochemical processes is developed to elucidate the origins of geometric deviations in projection multiphoton lithography. The results indicate that oxygen diffusion and inhibition, and DMD diffraction, lead to geometric distortions.
Anwarul Islam Akash +2 more
wiley +1 more source
A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN [PDF]
Lasmedi Afuan, R. Rizal Isnanto
openalex +1 more source
Learning Customised Decision Trees for Domain-knowledge Constraints
, 2023 Géraldin Nanfack +2 more
openalex +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Era splitting - Invariant learning for decision trees
Expert Systems with Applications29 pages, 9 figures, 3 tables, 2 ...
openaire +2 more sources