Animal Behavior Analysis Using Unsupervised Machine Learning Techniques

被引：0
作者：
Liu, Jiefei [1 ]
Bailey, Derek W. [2 ]
Cao, Huiping [2 ]
Son, Tran Cao [2 ]
Tobin, Colin T. [3 ]
机构：
[1] New Mexico State Univ, Comp Sci Dept, Las Cruces, NM 88003 USA
[2] New Mexico State Univ, Las Cruces, NM 88003 USA
[3] North Dakota State Univ, Farmingdale, NY USA
来源：
JOURNAL OF ANIMAL SCIENCE | 2023年 / 101卷
关键词：
animal behavior identification; clustering; data segmentation;
D O I：
暂无
中图分类号：
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号：
0905 ;
摘要：
skad281.00
引用
收藏
页码：2 / 2
页数：1
相关论文
共 50 条
  • [1] Animal Behavior Analysis Using Unsupervised Machine Learning Techniques
    Liu, Jiefei
    Bailey, Derek W.
    Cao, Huiping
    Son, Tran Cao
    Tobin, Colin T.
    JOURNAL OF ANIMAL SCIENCE, 2023, 101
  • [2] Development of a Novel Classification Approach for Cow Behavior Analysis Using Tracking Data and Unsupervised Machine Learning Techniques
    Liu, Jiefei
    Bailey, Derek W.
    Cao, Huiping
    Son, Tran Cao
    Tobin, Colin T.
    SENSORS, 2024, 24 (13)
  • [3] PERFORMANCE ANALYSIS OF UNSUPERVISED MACHINE LEARNING TECHNIQUES FOR NETWORK TRAFFIC CLASSIFICATION
    Singh, Hardeep
    2015 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION TECHNOLOGIES ACCT 2015, 2015, : 401 - 404
  • [4] Insights into wheat science: A bibliometric review using unsupervised machine learning techniques
    Perez-Perez, Martin
    Ribeiro, Miguel
    Fdez-Riverola, Florentino
    Igrejas, Gilberto
    JOURNAL OF CEREAL SCIENCE, 2024, 118
  • [5] A Case Study of Spectrum Analysis Using Unsupervised Machine Learning
    Nagpure, Vaishali
    Vaccaro, Stephanie
    Hood, Cynthia
    2019 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS (DYSPAN), 2019, : 153 - 154
  • [6] Acoustic animal identification using unsupervised learning
    Guerrero, Maria J.
    Bedoya, Carol L.
    Lopez, Jose D.
    Daza, Juan M.
    Isaza, Claudia
    METHODS IN ECOLOGY AND EVOLUTION, 2023, 14 (06): : 1500 - 1514
  • [7] Angiographic prognosis and diagnosis of heart disease by using unsupervised and supervised Machine Learning techniques
    Sbirna, Sebastian
    Sbirna, Liana-Simona
    2020 24TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2020, : 84 - 91
  • [8] Behavior Analysis of Malware Using Machine Learning
    Dhammi, Arshi
    Singh, Maninder
    2015 EIGHTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2015, : 481 - 486
  • [9] Comparison of supervised and unsupervised machine learning techniques for UXO classification using EMI data
    Bijamov, Alex
    Shubitidze, Fridon
    Fernandez, Juan Pablo
    Shamatava, Irma
    Barrowes, Benjamin E.
    O'Neill, Kevin
    DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XVI, 2011, 8017
  • [10] Clustering superconductors using unsupervised machine learning
    Roter, B.
    Ninkovic, N.
    Dordevic, S. V.
    PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS, 2022, 598
12345