Results 91 to 100 of about 405,044 (354)

Advances in Artificial Intelligence, Machine Learning and Deep Learning Applications

, 2023
Recent advances in the field of artificial intelligence (AI) have been pivotal in enhancing the effectiveness and efficiency of many systems and in all fields of knowledge, including medical ...
Haleem, MS, Muhammad Salman Haleem
core   +1 more source

Artificial Intelligence in Education: A Review

IEEE Access, 2020
The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the application and ...
Lijia Chen, Pingping Chen, Zhijian Lin
semanticscholar   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics

Scientific Reports
In educational data mining, educational data extraction and analysis, as well as learning analytics, it is very significant to evaluate the student’s performance in various aspects for enhancing the educational standards.
E. S. Vinoth Kumar, R. Augustian Isaac, P. Sundaravadivel, P. Janaki Ramal   +3 more
doaj   +1 more source

An artificial intelligence approach to smart exam supervision using YOLOv5 and siamese network

Artificial intelligence has introduced revolutionary and innovative solutions to many complex problems by automating processes or tasks that used to require human power.
Alkharabsheh, Khalid, A. Alhaj, Abdullah, I. Zanoon, Nabeel   +2 more
core   +1 more source

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

International Journal of Information Management, 2019
As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity ...
Yogesh Kumar Dwivedi, Laurie Hughes, Elvira R. Ismagilova, G. Aarts, Crispin R. Coombs, Tom Crick, Y. Duan, R. Dwivedi, J. Edwards, Aled Eirug, Vassilis Galanos, P. Ilavarasan, M. Janssen, Paul Jones, A. Kar, Hatice Kizgin, Bianca Kronemann, Banita Lal, B. Lucini, R. Medaglia, K. L. Meunier-FitzHugh, L. Meunier-FitzHugh, S. Misra, E. Mogaji, S. Sharma, J. Singh, Vishnupriya Raghavan, R. Raman, Nripendra P. Rana, Spyridon Samothrakis, Jak Spencer, K. Tamilmani, Annie Tubadji, P. Walton, Michael D. Williams   +34 more
semanticscholar   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

DeConvolve: Towards Textually Explainable and Human Cognizable Convolutional Networks

Cybernetics and Information Technologies
Convolutional Neural Networks (CNNs) have demonstrated remarkable accuracy and are employed in different applications. However, adding existing CNNs to physics-aware frameworks can distort image features, reducing classification accuracy.
Meeradevi, Haritas Hrishikesh, Bankapure Darshan, Mishra Divyansh   +3 more
doaj   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

Advanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari, Supharoek Sornsomrit, Muhammad Ayaz Akbar, Stephan Rudykh   +3 more
wiley   +1 more source