Machine learning accelerates the materials discovery
J Fang, M Xie, X He, J Zhang, J Hu, Y Chen… - Materials Today …, 2022 - Elsevier
As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …
technology becomes more and more accessible, the material design method based on …
[PDF][PDF] A review of SQLI detection strategies using machine learning
Internet are becoming more widespread. Web-based technologies accept and store
sensitive information from users. Because of their Internet connectivity, these systems and …
sensitive information from users. Because of their Internet connectivity, these systems and …
[HTML][HTML] Trade-offs in the latent representation of microstructure evolution
Characterizing and quantifying microstructure evolution is critical to forming quantitative
relationships between material processing conditions, resulting microstructure, and …
relationships between material processing conditions, resulting microstructure, and …
A machine learning model for multi-class classification of quenched and partitioned steel microstructure type by the k-nearest neighbor algorithm
The paper proposed a machine learning model for multiclass classification of quenched and
partitioned (Q&P) steel microstructure type. In this work, we implemented the k-nearest …
partitioned (Q&P) steel microstructure type. In this work, we implemented the k-nearest …
Review for meta-heuristic optimization propels machine learning computations execution on spam comment area under digital security aegis region
In the redesign field, popularly known as optimization, such difficulties degenerate the
exordium of smoothing out appraisals that performed well on benchmark cutoff focuses or …
exordium of smoothing out appraisals that performed well on benchmark cutoff focuses or …
Monitoring, recognition and attendance automation in online class: combination of image processing, cryptography in IoT security
P Mukherjee, A Mondal, S Dey, A Layek… - … Conference on Network …, 2021 - Springer
Abstract According to Oxford and Cambridge dictionary, the attested meaning of monitoring
is an uninterrupted observation towards a particular circumstance for a specific period and …
is an uninterrupted observation towards a particular circumstance for a specific period and …
Prediction of Indian government stakeholder oil stock prices using hyper parameterized LSTM models
AK Singh, J Patra, M Chakraborty… - … on Intelligent Controller …, 2022 - ieeexplore.ieee.org
An investment is capturing money to profit from it. Investing has become a buzzword among
middle-class households. People can invest their money in a variety of ways. Land, gold …
middle-class households. People can invest their money in a variety of ways. Land, gold …
Austenitic parent grain reconstruction in martensitic steel using deep learning
P Fernandez-Zelaia, AM Rossy, Q Campbell… - Materials …, 2022 - Elsevier
In this work we develop a deep convolutional architecture to estimate the prior austenite
structure from observed martensite electron backscatter diffraction micrographs. A novel …
structure from observed martensite electron backscatter diffraction micrographs. A novel …
A Deep Learning Approach to Semantic Segmentation of Steel Microstructures
J Muñoz-Rodenas, F García-Sevilla, V Miguel-Eguía… - Applied Sciences, 2024 - mdpi.com
Featured Application A segmentation tool for microconstituents recognition in steel optical
micrographs. Abstract The utilization of convolutional neural networks (CNNs) for semantic …
micrographs. Abstract The utilization of convolutional neural networks (CNNs) for semantic …
[PDF][PDF] Detection and investigation of DDoS attacks in network traffic using machine learning algorithms
The Internet of Things (IoT) represents the start of a new age in information technology (IoT).
Objects (things) such as smart TVs, telephones, and smartwatches may now connect to the …
Objects (things) such as smart TVs, telephones, and smartwatches may now connect to the …