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Journal Articles

A study on applications of machine learning techniques in concrete strength and durability predictions

Vivek Kumar Chandrakumar, Manjunatha, Bhuvaneshwari Bondala, Palanisamy Murugan, Gandi Mounika Naidu, Rakesh Kumar, Lavish Kansal

AIP Conf. Proc. 3157, 080005 (2025)

https://doi.org/10.1063/5.0261536

Published: April 2025

View articletitled, A study on applications of machine learning techniques in concrete strength and durability predictions

Journal Articles

Revolutionizing earthquake prediction: Harnessing machine learning and deep learning

Roopashree Ranganath, Trupthi Rao, Ashwini Kodipalli, Ushasree Arabu, Sai Krishna Kudakala, Babita Rawat, Kirill Epifantsev

AIP Conf. Proc. 3157, 090001 (2025)

https://doi.org/10.1063/5.0261607

Published: April 2025

View articletitled, Revolutionizing earthquake prediction: Harnessing machine learning and deep learning

Journal Articles

Quantile regression strategies for network traffic prediction: A comparative analysis with linear, tree, and deep learning models

Darshan Nagesh, Darshan Shankar Ravishankar, Trupthi Rao, Ashwini Kodipalli, Ushasree Arabu, Lakkireddy Venkateshwarlu Reddy, Deepa Bisht, Nikolai Ivanovich Vatin

AIP Conf. Proc. 3157, 080021 (2025)

https://doi.org/10.1063/5.0261606

Published: April 2025

View articletitled, Quantile regression strategies for network traffic prediction: A comparative analysis with linear, tree, and deep learning models

Journal Articles

Fuzzy analytical approach for dust particle size comparison: A multi-criteria decision-making analysis

Gaurav Gupta, Mansi Nautiyal, Monika Khatkar, Sai Krishna Kudakala, Palakaluri Srividya

AIP Conf. Proc. 3157, 130012 (2025)

https://doi.org/10.1063/5.0271289

Published: April 2025

View articletitled, Fuzzy analytical approach for dust particle size comparison: A multi-criteria decision-making analysis

Journal Articles

Predictive modeling of PM2.5: Unraveling environmental influences and enhancing accuracy through ensemble methods

Anusha Anchan, Manasa Goudar Ramachandraswamy, Joylin Priya Pinto

AIP Conf. Proc. 3278, 020009 (2025)

https://doi.org/10.1063/5.0262140

Published: April 2025

View articletitled, Predictive modeling of PM2.5: Unraveling environmental influences and enhancing accuracy through ensemble methods

Journal Articles

Exploring the malicious activities in network, intrusion detection system with machine learning

Lakshmi Makam Jagadeesha, Spandana Dinesh Sheregar, Trupthi Rao, Ashwini Kodipalli

AIP Conf. Proc. 3278, 020024 (2025)

https://doi.org/10.1063/5.0263117

Published: April 2025

View articletitled, Exploring the malicious activities in network, intrusion detection system with machine learning

Journal Articles

Classification of identical twins using decision tree and comparing the accuracy with random forest

R. Prudhvi Venkata Narasimha Varma, R. Senthil Kumar

AIP Conf. Proc. 3270, 020109 (2025)

https://doi.org/10.1063/5.0262668

Published: April 2025

View articletitled, Classification of identical twins using decision tree and comparing the accuracy with random forest

Journal Articles

Optimal approach to the pancreatic cancer prediction based on gradient boosting compared with decision tree algorithm for improved accuracy

D. Yoga Lasyaa, P. Nirmala

AIP Conf. Proc. 3270, 020086 (2025)

https://doi.org/10.1063/5.0263142

Published: April 2025

View articletitled, Optimal approach to the pancreatic cancer prediction based on gradient boosting compared with decision tree algorithm for improved accuracy

Journal Articles

An improved classification methodology for effluent reduction from air using ensemble decision tree compared over particle swarm optimization

Suresh Krishna, S. Pradeep Kumar

AIP Conf. Proc. 3270, 020098 (2025)

https://doi.org/10.1063/5.0263378

Published: April 2025

View articletitled, An improved classification methodology for effluent reduction from air using ensemble decision tree compared over particle swarm optimization

Journal Articles

Improving performance prediction of movie success rate using support vector machine compared with K nearest neighbor

L. Santosh Raj, K. Malarkodi

AIP Conf. Proc. 3270, 020132 (2025)

https://doi.org/10.1063/5.0263473

Published: April 2025

View articletitled, Improving performance prediction of movie success rate using support vector machine compared with K nearest neighbor

Journal Articles

An efficient diagnosis of misinformation in online networking using logistic regression in comparison with decision tree

Rohith, K. Malathi

AIP Conf. Proc. 3270, 020123 (2025)

https://doi.org/10.1063/5.0263250

Published: April 2025

View articletitled, An efficient diagnosis of misinformation in online networking using logistic regression in comparison with decision tree

Journal Articles

Classification and analysis of network traffic cyber attacks using decision tree compared with K-nearest neighbors algorithm to improved accuracy

P. Veera Satish, R. Thandaiah Prabu

AIP Conf. Proc. 3270, 020152 (2025)

https://doi.org/10.1063/5.0263354

Published: April 2025

View articletitled, Classification and analysis of network traffic cyber attacks using decision tree compared with K-nearest neighbors algorithm to improved accuracy

Journal Articles

Exploring predictive algorithms: Linear regression and decision tree in student performance

P. Gowtami Sushma, G. V. Sriramakrishnan

AIP Conf. Proc. 3270, 020154 (2025)

https://doi.org/10.1063/5.0264437

Published: April 2025

View articletitled, Exploring predictive algorithms: Linear regression and decision tree in student performance

Journal Articles

Enhancing detection of fraudulent financial activities using random forest and compared with decision tree techniques

Sivarakesh, Selvakumara

AIP Conf. Proc. 3270, 020186 (2025)

https://doi.org/10.1063/5.0263375

Published: April 2025

View articletitled, Enhancing detection of fraudulent financial activities using random forest and compared with decision tree techniques

Journal Articles

Improved performance analysis for customer profiling and segmentation using AdaBoost compared with decision tree

B. Manishkumar, S. Kamatchi

AIP Conf. Proc. 3270, 020197 (2025)

https://doi.org/10.1063/5.0263148

Published: April 2025

View articletitled, Improved performance analysis for customer profiling and segmentation using AdaBoost compared with decision tree

Journal Articles

Prediction analysis for pixel resonance in digital image watermarking through wavelet transformation using convolutional neural networks compared with generative adversarial networks

B. Bala Venkatasai, J. Mohana

AIP Conf. Proc. 3270, 020001 (2025)

https://doi.org/10.1063/5.0262768

Published: April 2025

View articletitled, Prediction analysis for pixel resonance in digital image watermarking through wavelet transformation using convolutional neural networks compared with generative adversarial networks

Journal Articles

Prediction of road accidents using novel random forest and compare the accuracy with decision tree

N. Girish Chandra Choudhary, T. Rajesh Kumar

AIP Conf. Proc. 3270, 020007 (2025)

https://doi.org/10.1063/5.0262979

Published: April 2025

View articletitled, Prediction of road accidents using novel random forest and compare the accuracy with decision tree

Journal Articles

A classification of age ratio for diabetes group of people using blood sample data with novel voting classifier over decision tree for better accuracy

M. Suresh Reddy, V. Parthipan

AIP Conf. Proc. 3270, 020017 (2025)

https://doi.org/10.1063/5.0261727

Published: April 2025

View articletitled, A classification of age ratio for diabetes group of people using blood sample data with novel voting classifier over decision tree for better accuracy

Journal Articles

An enhanced bank scams detection using supervised learning by support vector machine over logistic regression algorithm

K. Yeshwankit, S. Magesh Kumar

AIP Conf. Proc. 3270, 020060 (2025)

https://doi.org/10.1063/5.0262477

Published: April 2025

View articletitled, An enhanced bank scams detection using supervised learning by support vector machine over logistic regression algorithm

Journal Articles

Efficient prediction of cyber crime breaches using decision tree compared with Naïve Bayes with improved accuracy

K. Venkateshwarprasad, K. Sashirekha

AIP Conf. Proc. 3270, 020065 (2025)

https://doi.org/10.1063/5.0261580

Published: April 2025

View articletitled, Efficient prediction of cyber crime breaches using decision tree compared with Naïve Bayes with improved accuracy

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A study on applications of machine learning techniques in concrete strength and durability predictions

Revolutionizing earthquake prediction: Harnessing machine learning and deep learning

Quantile regression strategies for network traffic prediction: A comparative analysis with linear, tree, and deep learning models

Fuzzy analytical approach for dust particle size comparison: A multi-criteria decision-making analysis

Predictive modeling of PM2.5: Unraveling environmental influences and enhancing accuracy through ensemble methods

Exploring the malicious activities in network, intrusion detection system with machine learning

Classification of identical twins using decision tree and comparing the accuracy with random forest

Optimal approach to the pancreatic cancer prediction based on gradient boosting compared with decision tree algorithm for improved accuracy

An improved classification methodology for effluent reduction from air using ensemble decision tree compared over particle swarm optimization

Improving performance prediction of movie success rate using support vector machine compared with K nearest neighbor

An efficient diagnosis of misinformation in online networking using logistic regression in comparison with decision tree

Classification and analysis of network traffic cyber attacks using decision tree compared with K-nearest neighbors algorithm to improved accuracy

Exploring predictive algorithms: Linear regression and decision tree in student performance

Enhancing detection of fraudulent financial activities using random forest and compared with decision tree techniques

Improved performance analysis for customer profiling and segmentation using AdaBoost compared with decision tree

Prediction analysis for pixel resonance in digital image watermarking through wavelet transformation using convolutional neural networks compared with generative adversarial networks

Prediction of road accidents using novel random forest and compare the accuracy with decision tree

A classification of age ratio for diabetes group of people using blood sample data with novel voting classifier over decision tree for better accuracy

An enhanced bank scams detection using supervised learning by support vector machine over logistic regression algorithm

Efficient prediction of cyber crime breaches using decision tree compared with Naïve Bayes with improved accuracy

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