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Forest Gaps and Isolated Savanna Trees
BioScience, 1994O ver the past two decades, understanding of the dynamics of forests in tropical and temperate regions has developed primarily through the study of canopy gaps formed when mature trees die. The functional significance of gap-phase dynamics (Watt 1947) in mesic (moist) forests rests on two widely documented observations. First, the surrounding matrix of
A. Joy Belsky, Charles D. Canham
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Anomaly Detection in Streaming Data using Isolation Forest
2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU)In the era of constant data generation and exchange, the concept of data streams, which entails the rapid and organized transmission of vast volumes of data online, has become prevalent.
Mohammed Shaker Kareem, L. Muhammed
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An Ensemble Framework for Network Anomaly Detection Using Isolation Forest and Autoencoders
2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)In today's digitally interconnected world, securing computer networks against potential threats is of utmost importance integrity and confidentiality of sensitive information are some of the integral concerns when securing the networks from malicious ...
M. G, V. A, S. S, S. M, S. M
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2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA)
Anomaly detection in financial transactions is paramount for safeguarding against fraudulent activities that pose significant risks to financial institutions and customers alike.
Prateek Kumar Bansal +5 more
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Anomaly detection in financial transactions is paramount for safeguarding against fraudulent activities that pose significant risks to financial institutions and customers alike.
Prateek Kumar Bansal +5 more
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Isolated Forest Based Flame Recognition
2023 35th Chinese Control and Decision Conference (CCDC), 2023Qiliang Guo, Shaolin Hu, Wenqiang Jiang
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Ecological Decay on Isolated Forest Fragments
Lessons in Conservation, 2010For this exercise, imagine that you belong to a Non-Governmental Organization which advises the Government of Venezuela on all domestic environmental issues. Eleven years ago, the Government created a large hydroelectric reservoir by submerging a large area of pristine tropical forest leaving only islands of forest where the high elevation areas remain
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Distribution Forest: An Anomaly Detection Method Based on Isolation Forest
2019Anomaly detection refers to finding patterns in the data that do not meet expectations. Anomaly detection has a variety of application domains and scenarios, such as network intrusion detection, fraud detection and fault detection. This paper proposes a new anomaly detection method Distribution Forest (dForest) inspired by Isolation Forest (iForest ...
Chengfei Yao +4 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Journal of Intelligent Transportation Systems / Taylor & Francis
Jingqin Gao, K. Ozbay, Yu Hu
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Jingqin Gao, K. Ozbay, Yu Hu
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Adaptive Anomaly Detection using Isolation Forest
2009Abstract : This project developed an adaptive anomaly detection system based on Isolation Forest, applicable to data stream which demands single-scan online algorithms with poly-logarithmic time and space complexities. The proposed system based on Half-Space Tree, an extension of Isolation Forest, is not only capable of detecting anomalies when the ...
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