[HTML][HTML] The future of sensitivity analysis: an essential discipline for systems modeling and policy support
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 …
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 …
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 …
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 …
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 …
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
Power system operation will encounter numerous variabilities as the proliferation of
renewable energy continues. Such random events will require the evaluation of …
renewable energy continues. Such random events will require the evaluation of …
Bilateral sensitivity analysis: a better understanding of a neural network
A model-independent sensitivity analysis for (deep) neural network, Bilateral sensitivity
analysis (BiSA), is proposed to measure the relationship or dependency between neurons …
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 …
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
This proposal tempts to develop automated DR detection by analyzing the retinal
abnormalities like hard exudates, haemorrhages, Microaneurysm, and soft exudates. The …
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 …
methods to predict the performance optimization of predictive maintenance and …