1-20 of 260
Gaussian processes
Close
Save search
Follow your search
Access your saved searches in your account
Close Modal
Sort by
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
Journal: AIP Conference Proceedings
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
Open the PDF for A study on applications of machine learning techniques in concrete strength and durability predictions in another window
Journal Articles

Enhancing Bayesian optimization with structural domain knowledge for efficient search

T. Thangarasan, Shankar Nayak Bhukya, T. Veena, T. Aathmanesan, M. Clement Joe Anand, Dharamvir, B. Uma Maheswari, B. Aravind Prasad
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3270, 020239 (2025)
https://doi.org/10.1063/5.0262551
Published: April 2025
View articletitled, Enhancing Bayesian optimization with structural domain knowledge for efficient search
Open the PDF for Enhancing Bayesian optimization with structural domain knowledge for efficient search in another window
Journal Articles

Precision-centric ensemble stacking for early prediction of cardiovascular disease

Kaladevi Amarakundhi Chanrasekaran, Sridevi Murugan, Vaishnavi Gunasekaran
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3279, 020065 (2025)
https://doi.org/10.1063/5.0263364
Published: April 2025
View articletitled, Precision-centric ensemble stacking for early prediction of cardiovascular disease
Open the PDF for Precision-centric ensemble stacking for early prediction of cardiovascular disease in another window
Journal Articles

Real-time ML enhanced diabetic prediction and visualization with informatica MDM integration

Kaladevi Amarakundhi Chandrasekaran, Shrilekha Venkatakrishnan, Harish Agarwal, Sangeetha Raja
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3279, 020071 (2025)
https://doi.org/10.1063/5.0263360
Published: April 2025
View articletitled, Real-time ML enhanced diabetic prediction and visualization with informatica MDM integration
Open the PDF for Real-time ML enhanced diabetic prediction and visualization with informatica MDM integration in another window
Journal Articles

Improving the performance of links with on-street parking at 40th street by using VISSIM

Noor Salah Jasim, Ali Abdul Ameer Alwash
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3303, 040001 (2025)
https://doi.org/10.1063/5.0266763
Published: March 2025
View articletitled, Improving the performance of links with on-street parking at 40th street by using VISSIM
Open the PDF for Improving the performance of links with on-street parking at 40th street by using VISSIM in another window
Journal Articles

Design optimization of BLDC motor using multi-objective plasma generation algorithm

Sundaram B. Pandya, Om S. Patel, Ajay Kumar, Kanak Kalita, Pradeep Jangir, Jasgurpreet Singh Chohan, Sarita Rathee, Laith Abualigah
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3217, 030008 (2024)
https://doi.org/10.1063/5.0234593
Published: December 2024
View articletitled, Design optimization of BLDC motor using multi-objective plasma generation algorithm
Open the PDF for Design optimization of BLDC motor using multi-objective plasma generation algorithm in another window
Journal Articles

Five-parameter Variance-Gamma Process: Lévy versus probability density

A. H. Nzokem
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3005, 020030 (2024)
https://doi.org/10.1063/5.0210286
Published: December 2024
View articletitled, Five-parameter Variance-Gamma Process: Lévy versus probability density
Open the PDF for Five-parameter Variance-Gamma Process: Lévy versus probability density in another window
Journal Articles

Optimizing Gaussian processes: Powerful kernels and efficiency improvements

Shuchen Pu
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3194, 030009 (2024)
https://doi.org/10.1063/5.0222476
Published: December 2024
View articletitled, Optimizing Gaussian processes: Powerful kernels and efficiency improvements
Open the PDF for Optimizing Gaussian processes: Powerful kernels and efficiency improvements in another window
Journal Articles

Analysis of inventory system for jewelry raw materials using Monte Carlo simulation

Nurul Lathifah, Komarudin Komarudin, Renita Bunga Lestari
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3215, 090008 (2024)
https://doi.org/10.1063/5.0235679
Published: November 2024
View articletitled, Analysis of inventory system for jewelry raw materials using Monte Carlo simulation
Open the PDF for Analysis of inventory system for jewelry raw materials using Monte Carlo simulation in another window
Journal Articles

Predictive modeling of catalytic conversion of greenhouse gas to syngas in a fixed bed reactor using Gaussian process regression: Effect of kernel function

May Ali Alsaffar, Mohamed A. Abde Ghany, Alya K. Mageed, Khalid A. Sukkar, Seroor Atalah Khaleefa Ali
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3219, 020066 (2024)
https://doi.org/10.1063/5.0236325
Published: November 2024
View articletitled, Predictive modeling of catalytic conversion of greenhouse gas to syngas in a fixed bed reactor using Gaussian process regression: Effect of kernel function
Open the PDF for Predictive modeling of catalytic conversion of greenhouse gas to syngas in a fixed bed reactor using Gaussian process regression: Effect of kernel function in another window
Journal Articles

Asymptotic test for model checking in linear regression

Wayan Somayasa, Alfian, Desak Ketut Sutiari
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3201, 060002 (2024)
https://doi.org/10.1063/5.0230584
Published: November 2024
View articletitled, Asymptotic test for model checking in linear regression
Open the PDF for Asymptotic test for model checking in linear regression in another window
Journal Articles

Comparative study on the machine learning-based techniques for magnetorheological elastomer dynamic properties prediction

Kasma Diana Saharuddin, Mohd Hatta Mohammed Ariff, Irfan Bahiuddin, Saiful Amri Mazlan, Nurhazimah Nazmi, Ubaidillah Ubaidillah
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3124, 080010 (2024)
https://doi.org/10.1063/5.0229967
Published: September 2024
View articletitled, Comparative study on the machine learning-based techniques for magnetorheological elastomer dynamic properties prediction
Open the PDF for Comparative study on the machine learning-based techniques for magnetorheological elastomer dynamic properties prediction in another window
Journal Articles

Implementation of Gaussian hidden Markov model (GHMM) to predict gold prices in Indonesia

Ayu Windah Setyowati, Trianingsih Eni Lestari
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3235, 020025 (2024)
https://doi.org/10.1063/5.0234782
Published: September 2024
View articletitled, Implementation of Gaussian hidden Markov model (GHMM) to predict gold prices in Indonesia
Open the PDF for Implementation of Gaussian hidden Markov model (GHMM) to predict gold prices in Indonesia in another window
Journal Articles

Parametric and semi-parametric skew normal linear degradation model to estimate time-to-failure distribution and its percentiles

Laila Naji Ba Dakhn, Mohd Aftar Abu Bakar, Razik Ridzuan Mohd Tajuddin, Kamarulzaman Ibrahim
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3150, 040001 (2024)
https://doi.org/10.1063/5.0228493
Published: September 2024
View articletitled, Parametric and semi-parametric skew normal linear degradation model to estimate time-to-failure distribution and its percentiles
Open the PDF for Parametric and semi-parametric skew normal linear degradation model to estimate time-to-failure distribution and its percentiles in another window
Journal Articles

Statistical model of Malacca wind speed data with functional relationship and error terms

Nur Ain Al-Hameefatul Jamaliyatul, Nurkhairany Amyra Mokhtar, Basri Badyalina, Adzhar Rambli, Yong Zulina Zubairi
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3150, 040008 (2024)
https://doi.org/10.1063/5.0227929
Published: September 2024
View articletitled, Statistical model of Malacca wind speed data with functional relationship and error terms
Open the PDF for Statistical model of Malacca wind speed data with functional relationship and error terms in another window
Journal Articles

Investigating the predictive performance of Gaussian process regression in marine controlled-source electromagnetic modelling

Muhammad Naeim Mohd Aris, Shalini Nagaratnam, Khairul Arifin Mohd Noh, Hanita Daud, Nahamizun Maamor
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3150, 040013 (2024)
https://doi.org/10.1063/5.0227908
Published: September 2024
View articletitled, Investigating the predictive performance of Gaussian process regression in marine controlled-source electromagnetic modelling
Open the PDF for Investigating the predictive performance of Gaussian process regression in marine controlled-source electromagnetic modelling in another window
Journal Articles

Comparative study of selected clustering algorithm based on Monte Carlo simulation study

Shamshuritawati Sharif, Nurshaziana Mohamad-Shamsuri
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3123, 060003 (2024)
https://doi.org/10.1063/5.0224175
Published: August 2024
View articletitled, Comparative study of selected clustering algorithm based on Monte Carlo simulation study
Open the PDF for Comparative study of selected clustering algorithm based on Monte Carlo simulation study in another window
Journal Articles

RoCC framework for anomaly detection in IoT healthcare data

S. Subha, J. G. R. Sathiaseelan
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3149, 030042 (2024)
https://doi.org/10.1063/5.0225066
Published: August 2024
View articletitled, RoCC framework for anomaly detection in IoT healthcare data
Open the PDF for RoCC framework for anomaly detection in IoT healthcare data in another window
Journal Articles

Developing a new covariance function of Gaussian process regression for modelling marine controlled-source electromagnetic data

Muhammad Naeim Mohd Aris, Shalini Nagaratnam, Khairul Arifin Mohd Noh, Hanita Daud, Nahamizun Maamor
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3128, 080004 (2024)
https://doi.org/10.1063/5.0213852
Published: July 2024
View articletitled, Developing a new covariance function of Gaussian process regression for modelling marine controlled-source electromagnetic data
Open the PDF for Developing a new covariance function of Gaussian process regression for modelling marine controlled-source electromagnetic data in another window
Journal Articles

Flood disaster study in Indonesia with generalized linear mixed model tree approach

Dani Al Mahkya, Khairil Anwar Notodiputro, Bagus Sartono
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3132, 020008 (2024)
https://doi.org/10.1063/5.0211281
Published: June 2024
View articletitled, Flood disaster study in Indonesia with generalized linear mixed model tree approach
Open the PDF for Flood disaster study in Indonesia with generalized linear mixed model tree approach in another window