Results 121 to 130 of about 6,391,262 (321)

Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression

International Journal of Financial Studies
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities’ prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed.
Krzysztof Drachal, Michał Pawłowski
doaj   +1 more source

Textile‐Based Capacitive Pressure Sensors Enabled by Ultrasonic Spray‐Coated Carbon Black Electrodes and Electrostatic Flocking

Advanced Materials Interfaces, EarlyView.
A 4‐layer Kevlar‐based composite is fabricated by combining ultrasonic spraying and electrostatic flocking. Carbon black dispersion is first deposited onto Kevlar fabric to create a conductive electrode. Nylon fibers are then electrostatically flocked onto the coated fabric, forming a dielectric layer.
Mengdi Chen, Hongxuan Li, Lei Shi, Fei Huang, Yuting Zhu, Wee Chen Gan, Swee Tiam Tan, Kean Aw   +7 more
wiley   +1 more source

Smart Antibacterial Coatings: Harnessing Bacterial Redox Activity for Infection Control

Advanced Materials Interfaces, EarlyView.
In this study, we have shown that ceftazidime‐loaded poly(3,4‐ethylenedioxythiophene) (PEDOT@CAZ) functions as a smart, redox‐responsive antibacterial coating that couples bacterial electrical activity with localized antibiotic delivery. Shewanella oneidensis and Pseudomonas aeruginosa induced distinct redox responses in PEDOT, reflecting their ...
Abdullah, Szymon Smołka, Kamran Ayaz, Sara Shakibania, Sajida Maryam, Taral Patel, Roman Turczyn, Ewa Zabłocka‐Godlewska, Katarzyna Krukiewicz   +8 more
wiley   +1 more source

Inferring interpretable models of fragmentation functions using symbolic regression

Machine Learning: Science and Technology
Machine learning is rapidly making its path into the natural sciences, including high-energy physics. We present the first study that infers, directly from experimental data, a functional form of fragmentation functions.
Nour Makke, Sanjay Chawla
doaj   +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

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

Advancing symbolic regression for earth science with a focus on evapotranspiration modeling

npj Climate and Atmospheric Science
Artificial Intelligence (AI) assumes a pivotal role in Earth science, leveraging deep learning’s predictive capabilities. Despite its prevalence, the impact of AI on scientific discovery remains uncertain.
Qingliang Li, Cheng Zhang, Zhong-Wang Wei, Xiaochun Jin, W. Shangguan, Hua Yuan, Jinlong Zhu, Lu Li, Pingping Liu, Xiao Chen, Yuguang Yan, Yong-Jiu Dai   +11 more
semanticscholar   +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

Exposing the Symbolic Capital of International Assignments [PDF]

, 2009
This paper explores the symbolic capital attributed to international assignments (IAs). The concept of symbolic capital has been proposed as pivotal in the development and utility of career capital.
Dickmann, Michael, Doherty, Noeleen
core   +1 more source

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