Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Singapore Management University (26)
- Central Bank of Nigeria (20)
- University of Nebraska - Lincoln (11)
- Dakota State University (8)
- Nova Southeastern University (8)
-
- Old Dominion University (7)
- City University of New York (CUNY) (6)
- California State University, San Bernardino (5)
- Chinese Academy of Sciences (5)
- California Polytechnic State University, San Luis Obispo (4)
- Embry-Riddle Aeronautical University (4)
- Munster Technological University (4)
- New Jersey Institute of Technology (4)
- Purdue University (4)
- University of Arkansas, Fayetteville (4)
- Chapman University (3)
- Georgia Southern University (3)
- Kennesaw State University (3)
- Ministry of Higher and Secondary Specialized Education of the Republic of Uzbekistan (3)
- Montclair State University (3)
- San Jose State University (3)
- University of Louisville (3)
- University of New Mexico (3)
- Air Force Institute of Technology (2)
- Arkansas Tech University (2)
- Association of Arab Universities (2)
- Bryant University (2)
- Clemson University (2)
- Dartmouth College (2)
- DePaul University (2)
- Keyword
-
- Machine Learning (13)
- Machine learning (13)
- Databases (10)
- Computer science (9)
- Data Science (9)
-
- Programming (9)
- Technology (9)
- Communications (8)
- Data (8)
- Educational technology (8)
- Higher education (8)
- Python (7)
- Data science (6)
- Deep Learning (6)
- Artificial Intelligence (5)
- Big data (5)
- Computer vision (4)
- Data mining (4)
- Sentiment analysis (4)
- Artificial intelligence (3)
- COVID-19 (3)
- Data Analysis (3)
- Data Mining (3)
- Data visualization (3)
- Database (3)
- Deep learning (3)
- Facebook (3)
- Information technology (3)
- Natural Language Processing (3)
- Nigeria (3)
- Publication Year
- Publication
-
- Research Collection School Of Computing and Information Systems (24)
- CBN Journal of Applied Statistics (JAS) (20)
- CCIS Networking / SCIS Networking magazines (8)
- Dissertations (8)
- Bulletin of Chinese Academy of Sciences (Chinese Version) (5)
-
- Electronic Theses, Projects, and Dissertations (5)
- Masters Theses & Doctoral Dissertations (5)
- Dissertations, Theses, and Capstone Projects (4)
- Master's Theses (4)
- College of Graduate Studies: Theses & Dissertations (3)
- Copyright, Fair Use, Scholarly Communication, etc. (3)
- Department of Computer Science Faculty Scholarship and Creative Works (3)
- Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023– (3)
- Electronic Theses and Dissertations (3)
- Library Philosophy and Practice (e-journal) (3)
- Theses and Dissertations (3)
- University of Nebraska-Lincoln Libraries: Faculty Publications (3)
- ATU Scholars Symposium (2)
- All Dissertations (2)
- Articles (2)
- Bulletin of TUIT: Management and Communication Technologies (2)
- Computational Modeling & Simulation Engineering Theses & Dissertations (2)
- Computer Science ETDs (2)
- Computer Science Faculty Publications (2)
- Computer Science and Engineering Dissertations - Archive (2)
- Dartmouth College Undergraduate Theses (2)
- Discovery Day - Daytona Beach (2)
- Dissertations, Master's Theses and Master's Reports (2)
- Honors Projects in Data Science (2)
- Publications (2)
- Publication Type
- File Type
Articles 211 - 212 of 212
Full-Text Articles in Data Science
Ccis Networking - December 1991, Nova University
Ccis Networking - December 1991, Nova University
CCIS Networking / SCIS Networking magazines
No abstract provided.
Bulletin No 4191 - Inputs For Beefin, D. J. Barker, P J. May, R. G. Grieve
Bulletin No 4191 - Inputs For Beefin, D. J. Barker, P J. May, R. G. Grieve
Bulletins 4000 -
BEEFIN is a computer model (Barker et at. 1986) that calculates profit maximizing diets for finishing cattle to a specified carcass weight and fat thickness. It predicts cattle growth, feed conversion ratio, final liveweight, number of days on feed and amount of available feedstuffs to finish the cattle to specification.
BEEFIN calculates an enterprise profit and loss budget and performs a sensitivity analysis on cattle and feed price changes. A sensitivity analysis of returns to assets, variable costs and per tonne of feed fed is also calculated.