MLHOps: Machine Learning Health Operations DOI Creative Commons
Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 13, P. 20374 - 20412

Published: Dec. 23, 2024

Language: Английский

Deep Learning in Medical Imaging for Early Disease Detection DOI
Saadaldeen Rashid Ahmed, Talib A. Al-Sharify, Taif S. Hasan

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 369 - 381

Published: Jan. 1, 2025

Language: Английский

Citations

0
Intelligent Bayesian regularization backpropagation neuro computing paradigm for state features estimation of underwater passive object DOI Creative Commons
Wasiq Ali, Muhammad Bilal, Ayman Alharbi

et al.

Frontiers in Physics, Journal Year: 2024, Volume and Issue: 12

Published: June 4, 2024

In underwater environments, the accurate estimation of state features for passive object is a critical aspect various applications, including robotics, surveillance, and environmental monitoring. This study presents an innovative neuro computing approach instantaneous reckoning marine following dynamic Markov chains. paper introduces potential intelligent Bayesian regularization backpropagation (IBRBNC) precise object. The proposed paradigm combines power artificial neural network with technique to address challenges associated noisy limited sensor data. IBRBNC leverages deep networks focus on model complex relationships in environment. Furthermore, introduced incorporate prior knowledge mitigate overfitting, enhancing model’s robustness generalization capabilities. dual results highly adaptive system capable accurately estimating real-time. To evaluate efficacy this approach, controlled supervised maneuvering trajectory constructed. Real-time estimations location, velocity, turn rate target are scrutinized across five distinct scenarios by varying Gaussian observed noise’s standard deviation, aiming minimize mean square errors (MSEs) between real estimated values. effectiveness demonstrated through extensive simulations experimental trials. Results showcase its superiority over traditional nonlinear filtering methods like interacting multiple extended Kalman filter (IMMEKF) unscented (IMMUKF), especially presence noise, incomplete measurements sparse

Language: Английский

Citations

2
Machine learning model to predict rate constants for sonochemical degradation of organic pollutants DOI Creative Commons

Iseul Na,

Tae Ho Kim,

Pengpeng Qiu

et al.

Ultrasonics Sonochemistry, Journal Year: 2024, Volume and Issue: 110, P. 107032 - 107032

Published: Aug. 23, 2024

Language: Английский

Citations

2
A Bayesian cluster validity index DOI
Onthada Preedasawakul, Nathakhun Wiroonsri

Computational Statistics & Data Analysis, Journal Year: 2024, Volume and Issue: 202, P. 108053 - 108053

Published: Aug. 30, 2024

Language: Английский

Citations

2
MLHOps: Machine Learning Health Operations DOI Creative Commons
Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 13, P. 20374 - 20412

Published: Dec. 23, 2024

Language: Английский

Citations

2