Results 131 to 140 of about 155,735 (298)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Ensemble Learning Models for Improving Temperature and Solar Radiation Forecasts [PDF]

openIn questa tesi verrà trattata l'esperienza di tirocinio svolta presso Hypermeteo S.r.l., azienda specializzata nell'elaborazione di dati meteorologici storici e previsionali per il settore Business To Business.
SEQUANI, GIOVANNI
core  

miREE: miRNA Recognition Elements Ensemble [PDF]

, 2011
Background Computational methods for microRNA target prediction are a fundamental step to understand the miRNA role in gene regulation, a key process in molecular biology. In this paper we present miREE, a novel microRNA target prediction tool.
Enrico Macii, Acquaviva, Andrea, Paula H Reyes-Herrera, Macii Enrico, Acquaviva Andrea, REYES HERRERA, PAULA HELENA, Andrea Acquaviva, Elisa Ficarra, Ficarra, Elisa, Reyes-Herrera Paula H, Macii, Enrico, Ficarra Elisa, Reyes Herrera Ph   +12 more
core   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Sex estimation with ensemble learning: an analysis using anthropometric measurements of piriform aperture

Egyptian Journal of Forensic Sciences
Background Piriform aperture is an anatomical region that has been very little studied in terms of sex estimation. Ensemble learning is similarly an unstudied area in sex estimation from human skeletal remains.
Muhammed Emin Parlak, Yasin Etli, Murat Beyhan, Kubilay Kanat, Hüseyin Alper Kızıloğlu   +4 more
doaj   +1 more source

The effectiveness of a transcription system within the context of learning West African jembe drumming ensemble pieces [PDF]

, 2010
Includes abstract.Includes bibliographical references (p. 156-158).The jembe drum is a goblet shaped hand drum from West Africa. This dissertation addresses the need for a memory tool to assist jembe drumming students in Cape Town in retaining aural ...
Thorn, Michael
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Predicting Residential Energy Consumption in South Africa Using Ensemble Models

Applied Computational Intelligence and Soft Computing
This study presents ensemble machine learning (ML) models for predicting residential energy consumption in South Africa. By combining the best features of individual ML models, ensemble models reduce the drawbacks of each model and improve prediction ...
David Attipoe, Donatien Koulla Moulla, Ernest Mnkandla, Alain Abran   +3 more
doaj   +1 more source