Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (21)
- Artificial Intelligence and Robotics (9)
- Library and Information Science (9)
- Social and Behavioral Sciences (9)
- Arts and Humanities (8)
-
- Digital Humanities (8)
- Life Sciences (7)
- Animal Sciences (5)
- Engineering (5)
- Environmental Sciences (5)
- Medicine and Health Sciences (5)
- Natural Resources and Conservation (4)
- Other Environmental Sciences (4)
- Veterinary Medicine (4)
- Veterinary Preventive Medicine, Epidemiology, and Public Health (4)
- Ecology and Evolutionary Biology (3)
- Education (3)
- Natural Resources Management and Policy (3)
- Other Veterinary Medicine (3)
- Population Biology (3)
- Statistics and Probability (3)
- Terrestrial and Aquatic Ecology (3)
- Veterinary Infectious Diseases (3)
- Veterinary Microbiology and Immunobiology (3)
- Zoology (3)
- Biostatistics (2)
- Chemistry (2)
- Computer Engineering (2)
- Data Science (2)
- Publication Year
- Publication
-
- Department of Computer Science and Engineering: Dissertations, Theses, and Student Research (5)
- USDA Wildlife Services: Staff Publications (3)
- University of Nebraska-Lincoln Libraries: Conference Presentations and Speeches (3)
- CSE Conference and Workshop Papers (2)
- Honors Theses (2)
-
- Library Philosophy and Practice (e-journal) (2)
- Biological Systems Engineering: Papers and Publications (1)
- CDRH Grant Reports (1)
- CSE Technical Reports (1)
- Chemistry Department: Faculty Publications (1)
- Complex Biosystems PhD Program: Dissertations (1)
- Department of Chemistry: Dissertations, Theses, and Student Research (1)
- Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research (1)
- Department of Special Education and Communication Disorders: Faculty Publications (1)
- Department of Statistics: Dissertations, Theses, and Student Work (1)
- Department of Statistics: Faculty Publications (1)
- Nebraska Cooperative Fish and Wildlife Research Unit: Staff Publications (1)
- School of Computing: Faculty Publications (1)
- U.S. Air Force Research (1)
- UNL Libraries: Faculty Publications (1)
- United States Geological Survey: Staff Publications (1)
Articles 31 - 32 of 32
Full-Text Articles in Physical Sciences and Mathematics
Identification Of Tcp Protocols, Juan Shao
Identification Of Tcp Protocols, Juan Shao
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Recently, many new TCP algorithms, such as BIC, CUBIC, and CTCP, have been deployed in the Internet. Investigating the deployment statistics of these TCP algorithms is meaningful to study the performance and stability of the Internet. Currently, there is a tool named Congestion Avoidance Algorithm Identification (CAAI) for identifying the TCP algorithm of a web server and then for investigating the TCP deployment statistics. However, CAAI using a simple k-NN algorithm can not achieve a high identification accuracy. In this thesis, we comprehensively study the identification accuracy of five popular machine learning models. We find that the random forest model …
Vowel Recognition From Continuous Articulatory Movements For Speaker-Dependent Applications, Jun Wang, Jordan R. Green, Ashok Samal, Tom D. Carrell
Vowel Recognition From Continuous Articulatory Movements For Speaker-Dependent Applications, Jun Wang, Jordan R. Green, Ashok Samal, Tom D. Carrell
Department of Special Education and Communication Disorders: Faculty Publications
A novel approach was developed to recognize vowels from continuous tongue and lip movements. Vowels were classified based on movement patterns (rather than on derived articulatory features, e.g., lip opening) using a machine learning approach. Recognition accuracy on a single-speaker dataset was 94.02% with a very short latency. Recognition accuracy was better for high vowels than for low vowels. This finding parallels previous empirical findings on tongue movements during vowels. The recognition algorithm was then used to drive an articulation-to-acoustics synthesizer. The synthesizer recognizes vowels from continuous input stream of tongue and lip movements and plays the corresponding sound samples …