Automated prediction of crack propagation using H2O AutoML

I Omar, M Khan, A Starr, K Abou Rok Ba - Sensors, 2023 - mdpi.com
Crack propagation is a critical phenomenon in materials science and engineering,
significantly impacting structural integrity, reliability, and safety across various applications …

Advancing android security: leveraging stacking ensemble and bioinspired feature selection for efficient malware detection

V Jyothsna, P Mokshitha, S Khulud… - 2024 5th …, 2024 - ieeexplore.ieee.org
Nowadays, the use of smartphones and related applications is increasing rapidly due to
their “easy to use” features, the functionality of many applications, and the constant …

Classification of Brain Disease & MRI-Based Age Estimation Using Deep Learning Algorithms

S Kamakshi, P Penchalaiah… - … Conference on Intelligent …, 2023 - ieeexplore.ieee.org
Deep neural networks preserve effectively predict chronological age about healthy
individuals from neuroimaging data, & predicted brain age may be used as a biomarker …

A meta classifier model for sms spam detection using multinomialnb-linearsvc algorithms

C Silpa, SN Mirza, S Prathyusha… - … on Networking and …, 2023 - ieeexplore.ieee.org
There has been a rise in the use of mobile devices during the past few decades, networks
and short message services (SMS) has emerged as a form of communication. SMS spam is …

Comparative analysis of learning models in depression detection using MRI image data

S Mano Venkat, C Rajendra… - … Conference on Innovations …, 2022 - Springer
Over the last several years, research into the causes and treatments for serious depression
has been a hot issue. They are using models of machine learning to fresh data points from …

Classification Model for Identification of Internet Loan Frauds Using PCA with Ensemble Method

A Madhaveelatha, KM Varaprasad, B Pydala - … Conference on Innovations …, 2022 - Springer
Due to the rapid growth of e-services including e-commerce, e-finance, and mobile
payments, personal loans for consumption have seen a significant uptick in recent years …

A Novel Machine Learning Approach to Detect Application Layer DDoS Attacks

V Jyothsna, SN Swetha, PL Kumar… - 2024 5th …, 2024 - ieeexplore.ieee.org
Attackers use application-layer DDoS (App-DDoS) attacks, which aim to bring down the
victim's server by sending fake packets in its direction. Because malicious packets mimic the …

Employing the SMOTE Technique, a Machine Learning Model for Predicting Student Grades

P Vaishnavi, C Prathima, V Rakesh… - … and Control Systems …, 2023 - ieeexplore.ieee.org
Predicting a student's academic grade and performance prediction is a complex task in the
educational sector especially in India because of the large volumes of datasets. To check …

An Efficient Machine Learning Model for Bitcoin Price Prediction

HT Shaik, BS Kumar, B Pydala - … Conference on Innovations in Bio-Inspired …, 2022 - Springer
Crypto currencies are one kind of digital currencies that resembles the stock market and
operate on a block chain database. A bitcoin is an earliest form of crypto currency and due to …

Smart Crop Advisor-Intelligent Crop and Fertilizer Recommendations with Crop Yield Prediction Using ML Algorithms

HR Vaddi, GK Mandadhi, S Ameer… - 2024 International …, 2024 - ieeexplore.ieee.org
In India, the economy relies on the agriculture, which creates jobs for a sizable section of the
labor force and contributes significantly to GDP. The agricultural industry is crucial, but it …