Results 101 to 110 of about 2,854,398 (286)

Thermoresponsive Self‐Healing Carbon Nanotube‐Reinforced Dual‐Network Hydrogels for Wearable Sensors and Information Concealment

Advanced Materials Technologies, EarlyView.
A CNT‐reinforced dual‐network hydrogel combines ionic liquid‐mediated thermoresponsiveness, dynamic covalent crosslinking, and conductive nanostructures within a single adaptive material. The hydrogel exhibits ultrafast gelation, autonomous self‐healing, >1000% stretchability, reversible optical switching, and stable electromechanical sensing, enabling
Xia Qiu, Xiaolong He, Paul Morandi, Petra Rudolf, Rudy Folkersma, Vincent S. D. Voet, Katja Loos   +6 more
wiley   +1 more source

Symbolic Regression on Network Properties

, 2017
Networks are continuously growing in complexity, which creates challenges for determining their most important characteristics. While analytical bounds are often too conservative, the computational effort of algorithmic approaches does not scale well with network size.
Marcus Märtens, Fernando A. Kuipers, Piet Van Mieghem   +2 more
openaire   +3 more sources

Bias and Variance Analysis of Contemporary Symbolic Regression Methods

Applied Sciences
Symbolic regression is commonly used in domains where both high accuracy and interpretability of models is required. While symbolic regression is capable to produce highly accurate models, small changes in the training data might cause highly dissimilar ...
Lukas Kammerer, Gabriel Kronberger, Stephan Winkler   +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

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

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, Mitsuhiro Kamezaki, Ryosuke Dobashi, Yuhiro Iwamoto, Yasushi Ido, Yoshihiro Kawahara   +5 more
wiley   +1 more source

Iterated Agent for Symbolic Regression

CoRR
Symbolic regression (SR), the automated discovery of mathematical expressions from data, is a cornerstone of scientific inquiry. However, it is often hindered by the combinatorial explosion of the search space and a tendency to overfit. Popular methods, rooted in genetic programming, explore this space syntactically, often yielding overly complex ...
Zhuo-Yang Song, Zeyu Cai, Shutao Zhang, Jiashen Wei, Jichen Pan, Shi Qiu 0016, Qing-Hong Cao, Tie-Jiun Hou, Xiaohui Liu, Ming-xing Luo, Hua Xing Zhu   +10 more
openaire   +3 more sources

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Discovering data‐driven microbial growth models with symbolic regression

Methods in Ecology and Evolution
Connecting mathematical models with empirically measured microbial growth has remained challenging, as numerous competing models based on different theoretical approaches can fit observations.
T. Anthony Sun, Dovydas Kičiatovas, Inga‐Katariina Aapalampi, Teemu Kuosmanen, Teppo Hiltunen, Ville Mustonen   +5 more
doaj   +1 more source

Symbolic regression for empirically realistic population dynamic time series

Ecological Informatics
Applications of machine learning in ecology are rapidly expanding. Symbolic regression is gaining particular attention for its success in reverse-engineering human-readable explanatory population models, including the logistic growth and Lotka–Volterra ...
Cheyenne N. Jarman, Taal Levi, Mark Novak   +2 more
doaj   +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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source