Data Recovery Efforts at the Millville Mill Site (41RK223), Rusk County, Texas [PDF]
, 1993 In September 1993, data recovery efforts were undertaken by Espey, Huston & Associates, Inc. (EH&A) of Austin, Texas, to mitigate the effects of lignite mining on site 41RK223 in Texas Utilities Mining Company\u27s Oak Hill/2280 Acre Mine permit area of ...
Foster, Eugene R., Jr., Glander, Wayne
core +1 more source
Record Linkage for Malaria Deaths Data Recovery and Surveillance in Brazil. [PDF]
Trop Med Infect Dis, 2023 Garcia KKS +6 more
europepmc +1 more source
Security Data Aggregation with Recoverable Data in Heterogeneous Wireless Sensor Network
Dianxin kexue, 2013 Recently, many security aggregation algorithms in wireless sensor network have high communication overhead and the usage of aggregation functions is constrained.
Lusheng Shi, Huibo Zhu, Lin Chen
doaj
Optimizing Speech Emotion Recognition with Machine Learning Based Advanced Audio Cue Analysis
TechnologiesIn today’s fast-paced and interconnected world, where human–computer interaction is an integral component of daily life, the ability to recognize and understand human emotions has emerged as a crucial facet of technological advancement.
Nuwan Pallewela +4 more
doaj +1 more source
Plant and Salamander Inspired Network Attack Detection and Data Recovery Model. [PDF]
Sensors (Basel), 2023 Sharma RK +4 more
europepmc +1 more source
Fast detection method for IC card data integrity protection mechanism
Dianzi Jishu YingyongThis paper introduces the detection methods for data integrity protection mechanism of integrated circuit (IC) card. An improved power-off-testing theory is proposed aiming at the limitations and shortcomings of traditional single-command power-off ...
Tang Zhongze, Huang Xiaopeng, Liu Qi
doaj +1 more source
A Deep Learning Based Data Recovery Approach for Missing and Erroneous Data of IoT Nodes. [PDF]
Sensors (Basel), 2022 Vedavalli P, Ch D.
europepmc +1 more source
Data-PASS Punched Card Data Recovery
, 2011 One goal of the Data-PASS Partnership is to find and preserve potentially "at-risk" data sets for future generations of social science researchers. These data sets can take on many forms and be found on obsolete media including paper tape, punched cards, as well as, magnetic tape and disk.
openaire +3 more sources
Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network. [PDF]
Sensors (Basel), 2022 Zang D +6 more
europepmc +1 more source
Missing and Corrupted Data Recovery in Wireless Sensor Networks Based on Weighted Robust Principal Component Analysis. [PDF]
Sensors (Basel), 2022 He J, Li Y, Zhang X, Li J.
europepmc +1 more source