Results 141 to 150 of about 150,984 (329)
Forecasting the Epidemic Trend of MSM Cases in the Philippines Using Symbolic Regression Analysis
, 2023 Ronhick E. Sanchez
openalex +1 more source
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
Advanced Materials, EarlyView.We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.This study presents a novel platform for assessing the active mechanical behavior of living cardiac microbundles through localized nanoindentation, integrated with temperature regulation and dual‐camera imaging systems. The developed system enables quantitative evaluation of dynamic micromechanics in engineered cardiac tissues in vitro, offering ...
Lihua Lou +4 more
wiley +1 more source
Ductility Tuning via Cluster Network Characteristics of Porous Components
Advanced Materials Technologies, EarlyView.Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
Symbolic regression as a feature engineering method for machine and deep learning regression tasks
Machine Learning: Science and TechnologyIn the realm of machine and deep learning (DL) regression tasks, the role of effective feature engineering (FE) is pivotal in enhancing model performance. Traditional approaches of FE often rely on domain expertise to manually design features for machine
Assaf Shmuel +2 more
doaj +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
ISR: Invertible Symbolic Regression
We introduce an Invertible Symbolic Regression (ISR) method. It is a machine learning technique that generates analytical relationships between inputs and outputs of a given dataset via invertible maps (or architectures). The proposed ISR method naturally combines the principles of Invertible Neural Networks (INNs) and Equation Learner (EQL), a neural ...
Tohme, Tony +4 more
openaire +2 more sources
Advanced Robotics Research, EarlyView.Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao +5 more
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source