Just-in-time based soft sensors for process industries: A status report and recommendations
Soft sensors are mathematical models employed to estimate hard-to-measure variables from
available easy-to-measure variables. These sensors are typically developed using either …
available easy-to-measure variables. These sensors are typically developed using either …
Recent advances in artificial intelligence boosting materials design for electrochemical energy storage
In the rapidly evolving landscape of electrochemical energy storage (EES), the advent of
artificial intelligence (AI) has emerged as a keystone for innovation in material design …
artificial intelligence (AI) has emerged as a keystone for innovation in material design …
An optimal hybrid solution to local and global facial recognition through machine learning
K Raju, B Chinna Rao, K Saikumar… - A fusion of artificial …, 2022 - Springer
Face recognition need is fine assured as enormous industrial relevance use them to
implement one or another objective. As the programmes move closer to everyday usage to …
implement one or another objective. As the programmes move closer to everyday usage to …
R-peak detection based chaos analysis of ECG signal
Electrocardiography (ECG) is a non-invasive test that is used for recording contraction and
relaxation activities of the heart by using an electrocardiogram. Early detection of …
relaxation activities of the heart by using an electrocardiogram. Early detection of …
End-to-end AI-based point-of-care diagnosis system for classifying respiratory illnesses and early detection of COVID-19: A theoretical framework
Respiratory symptoms can be caused by different underlying conditions, and are often
caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the …
caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the …
Jet topics: disentangling quarks and gluons at colliders
EM Metodiev, J Thaler - Physical Review Letters, 2018 - APS
We introduce jet topics: a framework to identify underlying classes of jets from collider data.
Because of a close mathematical relationship between distributions of observables in jets …
Because of a close mathematical relationship between distributions of observables in jets …
[HTML][HTML] A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data
R Aziz, CK Verma, N Srivastava - Genomics data, 2016 - Elsevier
Feature (gene) selection and classification of microarray data are the two most interesting
machine learning challenges. In the present work two existing feature selection/extraction …
machine learning challenges. In the present work two existing feature selection/extraction …
Detection of driving fatigue by using noncontact EMG and ECG signals measurement system
R Fu, H Wang - International journal of neural systems, 2014 - World Scientific
Driver fatigue can be detected by constructing a discriminant mode using some features
obtained from physiological signals. There exist two major challenges of this kind of …
obtained from physiological signals. There exist two major challenges of this kind of …
Learning independent features with adversarial nets for non-linear ica
Reliable measures of statistical dependence could be useful tools for learning independent
features and performing tasks like source separation using Independent Component …
features and performing tasks like source separation using Independent Component …
Advancements and challenges in handwritten text recognition: A comprehensive survey
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …
different kinds of archives. In this study, we introduce a hybrid form archive written in French …