Zobrazeno 1 - 10
of 382
pro vyhledávání: '"Artificial intelligence and machine learning"'
Autor:
Zeng, Jingqi, Jia, Xiaobin
Traditional Chinese Medicine (TCM) involves complex compatibility mechanisms characterized by multi-component and multi-target interactions, which are challenging to quantify. To address this challenge, we applied graph artificial intelligence to dev
Externí odkaz:
http://arxiv.org/abs/2411.11474
Autor:
Lukasik, Michal, Nagarajan, Vaishnavh, Rawat, Ankit Singh, Menon, Aditya Krishna, Kumar, Sanjiv
The success of modern neural networks has prompted study of the connection between memorisation and generalisation: overparameterised models generalise well, despite being able to perfectly fit (memorise) completely random labels. To carefully study
Externí odkaz:
http://arxiv.org/abs/2310.05337
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Accurately predicting the Ultrasonic Pulse Velocity (UPV) in concrete is important invarious fields, including construction, engineering and non-destructive testing. This research paper proposes a novel mathematical model based on Artificial Neural N
Externí odkaz:
https://doaj.org/article/0b69ff9dee5345079a6c49410a576ed4
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 3403-3425 (2024)
Alani Torres,1,* Melina Wenke,1,* Cristian Lieneck,1,* Zo Ramamonjiarivelo,1,* Arzu Ari2,* 1School of Health Administration; Texas State University, San Marcos, TX, USA; 2College of Health Professions; Texas State University, San
Externí odkaz:
https://doaj.org/article/2270528a9b8f4f8fb492e38312d7daf1
Autor:
Chukwudebe, Olisaemeka a, Lynch, Elizabeth b, Vira, Manish b, Vaickus, Louis c, Khan, Anam d, Shaheen Cocker, Rubina e, ∗
Publikováno v:
In Journal of the American Society of Cytopathology January-February 2025 14(1):23-35
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
IntroductionWith the rapid development of artificial intelligence and machine learning technology, image processing technology based on artificial intelligence and machine learning has been applied in various fields, which effectively solves the mult
Externí odkaz:
https://doaj.org/article/ca21273fd79948cb82d9165a59faaad7
Publikováno v:
Frontiers in Molecular Biosciences, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/fb72d6175b6945ec928571248d51d33f
Autor:
Skanda M G et al.
Publikováno v:
Letters in High Energy Physics, Vol 2024, Iss 1 (2024)
This research paper presents an in-depth study of AI-driven simulations for complex physical systems, with a focus on the Ising model and Lennard-Jones fluids. The integration of artificial intelligence (AI) with statistical mechanics allows for accu
Externí odkaz:
https://doaj.org/article/2d0ab23d7ac54be0989c3dbd5cae5772
Publikováno v:
Baghdad Science Journal, Vol 20, Iss 6(Suppl.) (2023)
Currently, one of the topical areas of application of machine learning methods is the prediction of material characteristics. The aim of this work is to develop machine learning models for determining the rheological properties of polymers from exper
Externí odkaz:
https://doaj.org/article/4f90d4ced8254fd5b625f95833b936c1
Autor:
Paul Arras, Han Byul Yoo, Lukas Pekar, Thomas Clarke, Lukas Friedrich, Christian Schröter, Jennifer Schanz, Jason Tonillo, Vanessa Siegmund, Achim Doerner, Simon Krah, Enrico Guarnera, Stefan Zielonka, Andreas Evers
Publikováno v:
Frontiers in Molecular Biosciences, Vol 10 (2023)
Introduction: In this study, we demonstrate the feasibility of yeast surface display (YSD) and nextgeneration sequencing (NGS) in combination with artificial intelligence and machine learning methods (AI/ML) for the identification of de novo humanize
Externí odkaz:
https://doaj.org/article/5f353bed4f244e43aaa393e27be0700c