Results 91 to 100 of about 2,566,212 (336)

Spectral–Spatial Feature Fusion for Hyperspectral Anomaly Detection

Sensors
Hyperspectral anomaly detection is used to recognize unusual patterns or anomalies in hyperspectral data. Currently, many spectral–spatial detection methods have been proposed with a cascaded manner; however, they often neglect the complementary ...
Shaocong Liu, Zhen Li, Guangyuan Wang, Xianfei Qiu, Tinghao Liu, Jing Cao, Donghui Zhang   +6 more
doaj   +1 more source

Transition from connected to fragmented vegetation across an environmental gradient: scaling laws in ecotone geometry [PDF]

, 2009
A change in the environmental conditions across space—for example, altitude or latitude—can cause significant changes in the density of a vegetation type and, consequently, in spatial connectivity.
Gastner, Michael T., Oborny, Beata, Pruessner, Gunnar, Zimmermann, D. K.   +3 more
core   +1 more source

Evaluating the Isolation Forest Method for Anomaly Detection in Software-Defined Networking Security

Journal of Electrical Systems
The research addresses the critical anomaly detection problem in Software-Defined Networking (SDN), a domain where network integrity and security are paramount.
Et al. M Sri Lakshmi
semanticscholar   +1 more source

Mucocutaneous disease activity and damage accrual in systemic lupus erythematosus: analyses from the Asia‐Pacific Lupus Collaboration longitudinal cohort study

Arthritis Care &Research, Accepted Article.
Objective This research article aims to describe the prevalence, associations and health‐related quality‐of‐life (HRQoL) impact of mucocutaneous features of SLE. Methods Data from the Asia‐Pacific Lupus Collaboration cohort were analysed (2013‐2021). Mucocutaneous activity (MC‐A) items were rash, alopecia and mucosal ulcers; defined by the SLEDAI‐2K ...
Amanda M Saracino, Yanjie Hao, Dylan Hansen, Yi‐Hsing Chen, Alberta Hoi, Vera Golder, Jiacai Cho, Aisha Lateef, Worawit Louthrenoo, Laniyati Hamijoyo, Shue Fen Luo, Yeong‐Jian Jan Wu, Sandra Navarra, Leonid Zamora, Chak Sing Lau, Shirley Chan, Zhanguo Li, Hai‐hong Yao, Sargunan Sockalingam, BMDB Basnayake, Yasuhiro Katsumata, Masayoshi Harigai, Zhuoli Zhang, Jun Kikuchi, Yuko Kaneko, Tsutomu Takeuchi, Madelynn Chan, Sang‐Cheol Bae, Fiona Goldblatt, Sean O'Neill, Geraldine Hassett, Kristine(Pek Ling) Ng, Nicola Tugnet, Mark Sapsford, Yih Jia Poh, Michael Tee, Cherica Tee, Naoaki Ohkubo, Yoshiya Tanaka, Rangi Kandane‐Rathnayake, Eric Morand, Shereen Oon, Mandana Nikpour   +42 more
wiley   +1 more source

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

IEEE Access
The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities because they cannot understand dynamic, complex, and high ...
R. Tejaswini, P. Abinaya, S. S. Anuprabha, Saranya Karattupalayam Chidambaram, Sudhanshu Arya, Yogesh Kumar Choukiker, Abhijit Bhowmick   +6 more
doaj   +1 more source

The Influence of Management and Silvicultural Practices on The Incidence of Heart Rot in Acacia Mangium Plantations [PDF]

, 1993
Acacia mangium Willd., a major exotic timber species used in the Compensatory Forest Plantation Program for the product ion of saw logs, was found to be infected by heart rot. To evaluate the incidence and severity of heart rot in A.
Md. Noor, Hashim
core  

Pseudomonas helmanticensis sp. nov., isolated from forest soil

International Journal of Systematic and Evolutionary Microbiology, 2014
A bacterial strain, OHA11T, was isolated during the course of a study of phosphate-solubilizing bacteria occurring in a forest soil from Salamanca, Spain. The 16S rRNA gene sequence of strain OHA11Tshared 99.1 % similarity with respect toPseudomonas baeticaa390T, and 98.9 % similarity with the type strains ofPseudomonas jessenii,Pseudomonas moorei ...
Ramírez Bahena, M. Helena, Cuesta Sánchez, M. José, Flores Félix, José David, Mulas, Rebeca, Rivas, Raúl, Castro Pinto, João, Brañas, Javier, Mulas, Daniel, González Andrés, Fernando, Velázquez, Encarna, Peix, Álvaro   +10 more
openaire   +3 more sources

Extended Isolation Forest for Intrusion Detection in Zeek Data

Inf.
The novelty of this paper is in determining and using hyperparameters to improve the Extended Isolation Forest (EIF) algorithm, a relatively new algorithm, to detect malicious activities in network traffic.
Fariha Moomtaheen, S. Bagui, S. Bagui, D. Mink   +3 more
semanticscholar   +1 more source

Cumulative Social Disadvantage and Disease Activity in Juvenile Idiopathic Arthritis: A Childhood Arthritis and Rheumatology Research Alliance Registry Study

Arthritis Care &Research, Accepted Article.
Background Social determinants of health (SDOH) contribute to JIA disparities, but most studies have assessed SDOH independently rather than cumulatively across individual, family, and neighborhood levels. Using a socioecological framework, we investigated the relationship between cumulative social disadvantage, neighborhood disadvantage, and JIA ...
William Daniel Soulsby, John Boscardin, Andrea Knight, Daniel B. Horton, Karine Toupin‐April, Emily von Scheven, The CARRA Registry Investigators and for the CARRA Health Equity Work Group   +6 more
wiley   +1 more source

Deep Parenchymal Steatosis Assessment and Quantification in Histopathology

IEEE Access
Manual annotation of liver biopsies is time-consuming, prone to human error, and suffers from high inter-observer variability. Automated algorithms for classifying metabolic dysfunction-associated steatohepatitis (MASH) in liver transplants can improve ...
Rishit Gupta, Amit Nagora, Phidakordor Sahshong, Parth Parekh, Apurba Chakraborty, Manish Bhatt   +5 more
doaj   +1 more source