Machine learning-aided design of aluminum alloys with high performance
Sign Up to like & getrecommendations! Published in 2020 at "Materials today communications"
DOI: 10.1016/j.mtcomm.2020.101897
Abstract: Abstract In this work, various machine learning (ML) techniques were employed to accelerate the designing of aluminum (Al) alloys with improved performance based on the age hardening concept. For this purpose, data of Al-Cu-Mg-x (x:… read more here.
Keywords: learning aided; aluminum alloys; machine learning; performance ... See more keywords
Machine Learning-Aided Identification of Single Atom Alloy Catalysts
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Physical Chemistry C"
DOI: 10.1021/acs.jpcc.0c01492
Abstract: In metal catalytic design, there is a well-established linear scaling relationship between reaction and adsorption energies. However, owing to the challenges of performing experimental and/or compu... read more here.
Keywords: identification single; single atom; machine learning; atom alloy ... See more keywords
In Vivo Exposure Pathways of Ambient Magnetite Nanoparticles Revealed by Machine Learning-Aided Single-Particle Mass Spectrometry.
Sign Up to like & getrecommendations! Published in 2024 at "Nano letters"
DOI: 10.1021/acs.nanolett.4c01937
Abstract: Nanosized ultrafine particles (UFPs) from natural and anthropogenic sources are widespread and pose serious health risks when inhaled by humans. However, tracing the inhaled UFPs in vivo is extremely difficult, and the distribution, translocation, and… read more here.
Keywords: learning aided; mass spectrometry; vivo; machine learning ... See more keywords
Multiplexed Identification of Bacterial Biofilm Infections Based on Machine-Learning-Aided Lanthanide Encoding.
Sign Up to like & getrecommendations! Published in 2022 at "ACS nano"
DOI: 10.1021/acsnano.1c11333
Abstract: Pathogenic biofilms are up to 1000-fold more drug-resistant than planktonic pathogens and cause about 80% of all chronic infections worldwide. The lack of prompt and reliable biofilm identification methods seriously prohibits the diagnosis and treatment… read more here.
Keywords: cocktail kits; machine learning; learning aided; identification ... See more keywords
Machine learning-aided design and screening of an emergent protein function in synthetic cells
Sign Up to like & getrecommendations! Published in 2024 at "Nature Communications"
DOI: 10.1038/s41467-024-46203-0
Abstract: Recently, utilization of Machine Learning (ML) has led to astonishing progress in computational protein design, bringing into reach the targeted engineering of proteins for industrial and biomedical applications. However, the design of proteins for emergent… read more here.
Keywords: learning aided; biology; machine learning; protein ... See more keywords
Unsupervised learning-aided extrapolation for accelerated design of superalloys
Sign Up to like & getrecommendations! Published in 2024 at "npj Computational Materials"
DOI: 10.1038/s41524-024-01358-8
Abstract: Machine learning has been widely used to guide the search for new materials by learning the patterns underlying available data. However, the pure prediction-oriented search is often biased to interpolation due to the limited data… read more here.
Keywords: gamma prime; learning aided; extrapolation; unsupervised learning ... See more keywords
Deep TL: progress of a machine learning aided personal dose monitoring system.
Sign Up to like & getrecommendations! Published in 2023 at "Radiation protection dosimetry"
DOI: 10.1093/rpd/ncad078
Abstract: Personal dosemeters using thermoluminescence detectors can provide information about the irradiation event beyond the pure dose estimation, which is valuable for improving radiation protection measures. In the presented study, the glow curves of the novel… read more here.
Keywords: deep progress; machine learning; learning aided; learning ... See more keywords
Machine learning-aided cost prediction and optimization in construction operations
Sign Up to like & getrecommendations! Published in 2021 at "Engineering, Construction and Architectural Management"
DOI: 10.1108/ecam-10-2020-0778
Abstract: PurposeThis paper aims to use a data-driven approach towards optimizing construction operations. To this extent, it presents a machine learning (ML)-aided optimization approach, wherein the construction cost is predicted as a function of time, resources… read more here.
Keywords: optimization; learning aided; construction; construction operations ... See more keywords
Deep Learning Aided System Design Method for Intelligent Reimbursement Robot
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2927499
Abstract: Recently, the massive use of invoices has increased the burden on financial staff. In order to ensure high accuracy, conventional financial reimbursement is mainly manual, which wastes lots of human and material resources. This paper… read more here.
Keywords: system; reimbursement; learning aided; method ... See more keywords
Learning Aided System for Agriculture Monitoring Designed using Image Processing and IoT-CNN
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3167061
Abstract: The Internet of Things (IoT) and artificial intelligence (AI) based methods for monitoring, control, and decision support are combined to design of a smart agriculture assistance system. The proposed system has a sensor pack that… read more here.
Keywords: system; decision support; agriculture; cnn ... See more keywords
Federated Learning Aided LEO Satellite Communications: A Distributed Beamforming Approach
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3573222
Abstract: As the landscape of sixth-generation (6G) wireless networks advances, low-Earth-orbit (LEO) satellite communication emerges as a promising solution for offering comprehensive global communication services, though its potential is challenged by severe large-scale path loss that… read more here.
Keywords: distributed beamforming; federated learning; learning aided; leo satellite ... See more keywords