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 …

[PDF][PDF] A review of SQLI detection strategies using machine learning

B Mondal, A Banerjee, S Gupta - International Journal of Health …, 2022 - srv15-bcrec.in
Internet are becoming more widespread. Web-based technologies accept and store
sensitive information from users. Because of their Internet connectivity, these systems and …

[HTML][HTML] Trade-offs in the latent representation of microstructure evolution

S Desai, A Shrivastava, M D'Elia, HN Najm… - Acta Materialia, 2024 - Elsevier
Characterizing and quantifying microstructure evolution is critical to forming quantitative
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

AK Gupta, S Chakroborty, SK Ghosh… - Computational Materials …, 2023 - Elsevier
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 …

Review for meta-heuristic optimization propels machine learning computations execution on spam comment area under digital security aegis region

B Mondal, D Chakraborty, NK Bhattacherjee… - … Meta-Heuristics and …, 2022 - Springer
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 …

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 …

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 …

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 …

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 …

[PDF][PDF] Detection and investigation of DDoS attacks in network traffic using machine learning algorithms

B Mondal, C Koner, M Chakraborty… - Int. J. Innov. Technol …, 2022 - researchgate.net
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 …