Application of Machine Learning Techniques in Aquaculture
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 10, Issue 4
Abstract
In this paper we present applications of different machine learning algorithms in aquaculture. Machine learning algorithms learn models from historical data. In aquaculture historical data are obtained from farm practices, yields, and environmental data sources. Associations between these different variables can be obtained by applying machine learning algorithms to historical data. In this paper we present applications of different machine learning algorithms in aquaculture applications.
Authors and Affiliations
Akhlaqur Rahman , Sumaira Tasnim
An Efficient Speaker Diarization using Privacy Preserving Audio Features Based of Speech/Non Speech Detection
Privacy-sensitive audio features for speaker diarization in multiparty conversations: i.e., a set of audio features having low linguistic information for speaker diarization in a single and multiple distant microphone sc...
Importance and Techniques of Information Hiding : A Review
Information or data is very crucial resource to us. Thus securing the information becomes all the more necessary. The communication media through which we send data does not provide data security, so other methods of sec...
Efficient Preprocessing and Patterns Identification Approach for Text Mining
Due to the rapid expansion of digital data , knowledge discovery and data mining have attracted significant amount of a ttention for turning such data into helpful information and knowledge. Text categorization is contin...
Enhancing Detection Rate in Selfish Attack Detection Scheme in Cognitive Radio Adhoc Networks
Cognitive radio (CR) is a significant communication technology in which the unlicensed users use the maximum available bandwidth. When the spectrum is not used by the licensed primary user, the obtainable channels are al...
Computer Aided Detection Algorithm for Digital Mammogram Images – A Survey
In worldwide, Breast cancer is one of the leading disease among the women, under the age group of 15- 54. An automatic detection of micro calcifications is performed in magnetic resonance imaging system. Here discuss abo...