Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India

no code implementations • 25 Jan 2024 • Hasmat Malik, Amit Kumar Yadav, Fausto Pedro García Márquez, Jesús María Pinar-Pérez

Based on relevant input variables Cascade ANN model is developed and prediction accuracy is evaluated.

feature selection

Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry

no code implementations • 13 Nov 2023 • Yuming Jiang, Devasahayam Arokia Balaya Rex, Dina Schuster, Benjamin A. Neely, Germán L. Rosano, Norbert Volkmar, Amanda Momenzadeh, Trenton M. Peters-Clarke, Susan B. Egbert, Simion Kreimer, Emma H. Doud, Oliver M. Crook, Amit Kumar Yadav, Muralidharan Vanuopadath, Martín L. Mayta, Anna G. Duboff, Nicholas M. Riley, Robert L. Moritz, Jesse G. Meyer

We expect this work to serve as a basic resource for new practitioners in the field of shotgun or bottom-up proteomics.

Deep Learning based Segmentation of Optical Coherence Tomographic Images of Human Saphenous Varicose Vein

no code implementations • 2 Mar 2023 • Maryam Viqar, Violeta Madjarova, Amit Kumar Yadav, Desislava Pashkuleva, Alexander S. Machikhin

Deep-learning based segmentation model is proposed for Optical Coherence Tomography images of human varicose vein based on the U-Net model employing atrous convolution with residual blocks, which gives an accuracy of 0. 9932.

Segmentation