We propose an efficient approach to learn inverse statics models—primarily for gravity compensation—by exploring only a small part of the configuration space and exploiting the symmetry properties of ...

Prediction of meteorological phenomena using conventional techniques is always a challenge for meteorologists. We developed a novel method for predicting meteorological phenomena by using the Random ...

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India; Introduction: Tricyclic anti-depressant (TCA) drugs are widely used to treat ...

Image processing and Deep learning are two zones of excessive awareness to researchers and scientists around the world. It is having multiple applications fields such as robotics, medicine, and ...

We aim to establish a personal PM 2.5 exposure assessment model for a cohort population and assess its performance by applying our model on cohort subjects. We analyzed data from representative sites ...

Colorectal cancer is one of the leading causes of cancer-related deaths. A main problem for its treatment is resistance to chemotherapy, requiring the development of new drugs. The success rate of new ...

Models with the addition of random coefficients for treatments did not have a better fit than models with only a random intercept and were not further pursued. This is the recommended one-stage model ...