Advances in Data Science

• Part I: Image Processing.- Two-stage Geometric Information Guided Image Processing (J. Qin and W. Guo).- Image Edge Sharpening via Heaviside Substitution and Structure Recovery (L. Deng, W. Guo, and T. Huang).- Two-step Blind Deconvolution of UPC-A Barcode Images (B. Kim and Y. Lou).- Part II: Shape and Geometry.- An Anisotropic Local Method for Boundary Detection in Images (M. Lund, M. Howard, D. Wu, R. S. Crum, D. J. Miller, and M. C. Akin).- Towards Learning Geometric Shape Parts (A. Fondevilla, G. Morin, and K. Leonard).- Machine Learning in LiDAR 3D Point Clouds (F. P. Medina and R. Paffenroth).- Part III: Machine Learning.- Fitting Small Piece-wise Linear Neural Network Models to Interpolate Data Sets (L. Ness).- On Large-Scale Dynamic Topic Modelling with Nonnegative CP Tensor Decomposition (M. Ahn, N. Eikmeier, J. Haddock, L. Kassab, A. Kryshchenko, K. Leonard, D. Needell, R. W. M. A. Madushani, E. Sizikova, and C. Wang).- A Simple Recovery Framework for Signals with Time-Varying Sparse Support (N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, and J. Qin).- Part IV: Data Analysis.- Role Detection and Prediction in Dynamic Political Networks (E. Evans, W. Guo, A. Genctav, S. Tari, C. Domeniconi, A. Murillo, J. Chuang, L. AlSumait, P. Mani, and N. Youssry).- Classifying Sleep States Using Persistent Homology and Markov Chains: A Pilot Study (S. Tymochko, K. Singhal, and G. Heo).- A Survey of Statistical Learning Techniques as Applied to Inexpensive Pediatric Obstructive Sleep Apnea Data (E. T. Winn, M. Vazquez, P. Loliencar, K. Taipale, X. Wang, and G. Heo).- Nonparametric Estimation of Blood Alcohol Concentration from Transdermal Alcohol Measurements Using Alcohol Biosensor Devices (A. Kryshchenko, M. Sirlanci, and B. Vader).

“The topics covered are quite interdisciplinary and related to cutting-edge research in data science. … This book describes results from the forefront of research in data science and would greatly benefit aspiring researchers at the master’s and PhD levels. Each chapter contains ample references to the related literature.” (S. Lakshmivarahan, Computing Reviews, February 21, 2023)