Unstructured Textual Data Analysis for Underground Built Heritage (UBH) Knowledge Base



Unstructured Textual Data Analysis for Underground Built Heritage (UBH) Knowledge Base
Karagöz, Pınar (Consiglio Nazionale delle Ricerche (CNR), 2021-03-01)
Unstructured grid generation
Coşkun, Mehmet; Üçer, Ahmet Ş.; Çelenligil, Cevdet; Department of Mechanical Engineering (1994)
Unstructured road recognition and following for mobile robots via image processing using Anns
Dilan, Rasim Aşkın; Koku, Ahmet Buğra; Department of Mechanical Engineering (2010)
For an autonomous outdoor mobile robot ability to detect roads existing around is a vital capability. Unstructured roads are among the toughest challenges for a mobile robot both in terms of detection and navigation. Even though mobile robots use various sensors to interact with their environment, being a comparatively low-cost and rich source of information, potential of cameras should be fully utilized. This research aims to systematically investigate the potential use of streaming camera images in detect...
Uncooled Infrared Detector And Methods For Manufacturing The Same
Akın, Tayfun (CIPO, 2010)
This disclosure discusses various methods for manufacturing uncooled infrared detectors by using foundry-defined silicon-on-insulator (SOI) complementary metal oxide semiconductor (CMOS) wafers, each of which may include a substrate layer, an insulation layer having a pixel region and a wall region surrounding the pixel region, a pixel structure formed on the pixel region of the insulation layer, a wall structure formed adjacent to the pixel structure and on the wall region of the insulation layer, a dielec...
Unsupervised machine learning in 5G networks for low latency communications
Balevi, Eren; Gitlin, Richard D. (2018-02-02)
© 2017 IEEE.This paper incorporates fog networking into heterogeneous cellular networks that are composed of a high power node (HPN) and many low power nodes (LPNs). The locations of the fog nodes that are upgraded from LPNs are specified by modifying the unsupervised soft-clustering machine learning algorithm with the ultimate aim of reducing latency. The clusters are constructed accordingly so that the leader of each cluster becomes a fog node. The proposed approach significantly reduces the latency with ...
Citation Formats
P. Karagöz, Unstructured Textual Data Analysis for Underground Built Heritage (UBH) Knowledge Base. 2021.