[HTML][HTML] The future of sensitivity analysis: an essential discipline for systems modeling and policy support

S Razavi, A Jakeman, A Saltelli, C Prieur… - … Modelling & Software, 2021 - Elsevier
Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …

Predictive maintenance planning for industry 4.0 using machine learning for sustainable manufacturing

MH Abidi, MK Mohammed, H Alkhalefah - Sustainability, 2022 - mdpi.com
With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …

Learner support in MOOCs: Identifying variables linked to completion

EB Gregori, J Zhang, C Galván-Fernández… - Computers & …, 2018 - Elsevier
This study investigated learner support strategies that enable the success and completion of
Massive Open Online Courses (MOOCs). It examined five MOOCs categorised into three …

Automatic hand gesture recognition using hybrid meta-heuristic-based feature selection and classification with dynamic time warping

M Kowdiki, A Khaparde - Computer Science Review, 2021 - Elsevier
Of late, the research world has been vigorously involved in, inventing strategy and
techniques to improve the spontaneity of Human Computer Interaction (HCI). Gesture …

Optimal feature extraction and classification-oriented medical insurance prediction model: machine learning integrated with the internet of things

S Chowdhury, P Mayilvahanan… - International Journal of …, 2022 - Taylor & Francis
This paper plans to develop an effective machine learning system integrated with the
Internet of Things (IoT) to predict the health insurance amount. IoT in healthcare enables …

Power system voltage stability evaluation considering renewable energy with correlated variabilities

X Xu, Z Yan, M Shahidehpour… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Power system operation will encounter numerous variabilities as the proliferation of
renewable energy continues. Such random events will require the evaluation of …

Bilateral sensitivity analysis: a better understanding of a neural network

H Zhang, Y Jiang, J Wang, K Zhang, NR Pal - International Journal of …, 2022 - Springer
A model-independent sensitivity analysis for (deep) neural network, Bilateral sensitivity
analysis (BiSA), is proposed to measure the relationship or dependency between neurons …

Automated mammogram breast cancer detection using the optimized combination of convolutional and recurrent neural network

RS Patil, N Biradar - Evolutionary intelligence, 2021 - Springer
The objective of this study is to frame mammogram breast detection model using the
optimized hybrid classifier. Image pre-processing, tumor segmentation, feature extraction …

Optimal feature selection-based diabetic retinopathy detection using improved rider optimization algorithm enabled with deep learning

AS Jadhav, PB Patil, S Biradar - Evolutionary intelligence, 2021 - Springer
This proposal tempts to develop automated DR detection by analyzing the retinal
abnormalities like hard exudates, haemorrhages, Microaneurysm, and soft exudates. The …

Adopting a deep learning split-protocol based predictive maintenance management system for industrial manufacturing operations

B Senapati, BS Rawal - International Conference on Big Data Intelligence …, 2022 - Springer
This paper presents the best computational modeling (AI/ML and Quantum Computing)
methods to predict the performance optimization of predictive maintenance and …