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
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
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
Deep Learning-Aided SCMA
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2018.2792019
Abstract: Sparse code multiple access (SCMA) is a promising code-based non-orthogonal multiple-access technique that can provide improved spectral efficiency and massive connectivity meeting the requirements of 5G wireless communication systems. We propose a deep learning-aided SCMA… read more here.
Keywords: learning aided; aided scma; deep learning;
A Learning-Aided Flexible Gradient Descent Approach to MISO Beamforming
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3186160
Abstract: This letter proposes a learning aided gradient descent (LAGD) algorithm to solve the weighted sum rate (WSR) maximization problem for multiple-input single-output (MISO) beamforming. The proposed LAGD algorithm directly optimizes the transmit precoder through implicit… read more here.
Keywords: miso beamforming; gradient descent; descent; learning aided ... See more keywords
Federated-Learning-Aided Next-Generation Edge Networks for Intelligent Services
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Network"
DOI: 10.1109/mnet.007.2100549
Abstract: Nowadays, federated learning (F1) has been proposed as an emerging technology to store sensory data and train the edge networks using a set of computing devices with minimum training time. However, a collection of heterogeneous… read more here.
Keywords: edge networks; federated learning; learning aided; next generation ... See more keywords
Collaborative Driving: Learning-Aided Joint Topology Formulation and Beamforming
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Vehicular Technology Magazine"
DOI: 10.1109/mvt.2022.3156743
Abstract: Currently, autonomous vehicles are able to drive more naturally based on the driving policies learned from millions of driving miles in real environments. However, to further improve the automation level of vehicles is a challenging… read more here.
Keywords: topology; learning aided; aided joint; collaborative driving ... See more keywords