A paper co-authored by Sidike Paheding, Applied Computing, has been published in the journal, IEEE Access. “Trends in Deep Learning for Medical Hyperspectral Image Analysis,” was available for early access on March 24, 2021. The paper discusses the implementation of deep learning for medical hyperspectral imaging. Co-authors of the paper are Uzair Khan, Colin Elkin, . . .
A scholarly paper co-authored by Assistant Professor Sidike Paheding, Applied Computing, has been published in the April 2021 issue of ISPRS Journal of Photogrammetry and Remote Sensing, published by Science Direct. The title of the paper is, “Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning.” View the article abstract . . .
A publication by Associate Professor Yakov Nekrich, Computer Science, has been accepted to the 53rd Annual ACM Symposium on Theory of Computing (STOC). The paper, “Optimal-Time Dynamic Planar Point Location in Connected Subdivisions,” describes an optimal-time solution for the dynamic point location problem and answers an open problem in computational geometry. The data structure described in the . . .
A scholarly paper co-authored by Assistant Professor Sidike Paheding, Applied Computing, is one of two papers to receive the 2020 Best Paper Award from the open-access journal Electronics, published by MDPI. The paper presents a brief survey on the advances that have occurred in the area of Deep Learning. Paheding is a member of the . . .
Timothy C. Havens, College of Computing, has been appointed as the first Conference Publication Editor of the IEEE Computational Intelligence Society (IEEE CIS). Havens is associate dean for research, College of Computing, the William and Gloria Jackson Associate Professor of Computer Systems, director of the Institute of Computing and Cybersystems (ICC), and a member of . . .