[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 …
Modelling the steel microstructure knowledge for in-silico recognition of phases using machine learning
The present article demonstrates an effective approach to model the in-silico recognition of
phases in steel microstructures using the machine learning and image processing …
phases in steel microstructures using the machine learning and image processing …
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 …
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 …
[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 …
Machine Learning in ASD: An Intensive Study of Automated Disease Prediction System
Of late, due to drastic climate change and excessive pollution, people live in such an
atmosphere where they have to combat continuously several deadly diseases. To get the …
atmosphere where they have to combat continuously several deadly diseases. To get the …
Automated student merit prediction using machine learning
I Sengupta, C Koner… - 2022 IEEE World …, 2022 - ieeexplore.ieee.org
Imparting higher education to today's generation is gaining in importance. With the National
Education Policy 2020 put on the table, there has been a massive transformation in the …
Education Policy 2020 put on the table, there has been a massive transformation in the …
Robust image-based cross-sectional grain boundary detection and characterization using machine learning
N Satterlee, R Jiang, E Olevsky, E Torresani… - Journal of Intelligent …, 2024 - Springer
Understanding the anisotropic sintering behavior of 3D-printed materials requires massive
analytic studies on their grain boundary (GB) structures. Accurate characterization of the …
analytic studies on their grain boundary (GB) structures. Accurate characterization of the …
GeGra: Approaching a generic model for quantitative grain size analysis from materials microscopy data using deep learning
K Rathod, AK Choudhary, A Jansche… - Materials …, 2024 - Elsevier
Grain size has a significant impact on the properties of materials, and is crucial for predicting
material properties. Traditional grain size measurement relies heavily on human operators …
material properties. Traditional grain size measurement relies heavily on human operators …
[PDF][PDF] XSS filter evasion using reinforcement learning to assist cross-site scripting testing
Machine learning and deep learning are widely utilized and highly effective in attack
classifiers. Little research has been undertaken on detecting and protecting cross-site …
classifiers. Little research has been undertaken on detecting and protecting cross-site …