272 results for “Co-Occurrence”

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Research ArticleOpen accessEvery word in the titleOccurrence of Avian Influenza H5N1 among Chicken, Duck Farms and Human in EgyptMohamed S. Diab, Mohamed S. Abd El Hafez, Mohamed A. Ashry, Wael K. ElfeilAvian influenza (AI) H5N1 virus consider a potential threat to the poultry industry with sever zoonotic effect associated with a high risk on human being associated with the poultry production. The disease become endemic in Egypt and cause more than 359 confirmed human infection cases in the last few years. Samples (serum and tissues) collected from 160 poultry farms that … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 1 · 22 Feb 2019 · 7,643 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleInvestigating the Effect of Amount of Damage in Columns on Possible Occurrence of Collapsing in Flexural Frames under EarthquakeReza Salehi, Abbas Akbarpour Nikghalb RashtiConsidering the expansion of the field of study among the structural researchers regarding the structure behavior under different conditions, it would be a new research topic to assess structure behavior before earthquake, supposedly with preliminary deficiency or preliminary damage in elements. Man-made threats including gas cylinder explosion, intentional sabotage, or vehicle collision with the main elements of the building like … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 22 May 2018 · 8,052 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleThe Time of Flooding Occurrence is Critical for Yield Production in Rice and Vary in a Genotype-Dependent MannerJenjira Mongon, Arom Jantasorn, Prateep Oupkaew et al.Flash floods occur in rainfed lowland and flood-prone areas and have a profound incidence on crop yield, which is tightly linked to worldwide food insecurity. The most flooding-threatened crop is rice. Under this condition, rice undergoes anoxic and post-anoxic shock that affects its growth, development capacity and ultimately causes an important grain yield loss. Therefore, the introduction of submergence-tolerant varieties … …OnLine Journal of Biological Sciences, Vol. 17, Issue 2 · 3 Jun 2017 · 8,093 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleThe Role of Slope Geometry on Flowslide OccurrenceChiara DeangeliThe paper reports a study aimed to the prediction of susceptibility to flowslide of granular soil slopes as a consequence of the in situ state of stress. In particular, the slope geometry has been investigated as a factor influencing the initial state of stress. For this purpose the results of numerical models, performed by a finite different approach (FLAC), allowed … …American Journal of Environmental Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 6,972 accessesView PDF Cite

Case ReportOpen accessEvery word in the titleWeb-Based Emergency Management Information System for Landslides OccurrencesJordan H. Souza, Carlos A.P. Soares, Gislaine Santos, Wainer S. SilvaLandslides cause significant human and environmental damage, as well as unpredictable damage to structures and buildings. This paper presents the development and application of a web-based system for risk management in landslide-related emergency preparedness. This system allows for easy access to information, even in hard-to-reach regions, by integrating mobile internet devices, like cell phones and tablets, with GPS systems, without … …American Journal of Environmental Sciences, Vol. 13, Issue 1 · 11 Jan 2017 · 7,543 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsPerformance Analysis of LDA, AdaBoost and Ensemble Bag Classifiers for Automatically Recognizing Nine Common Facial ExpressionsM.D. Sumithra, M. Abdul RahimanFacial expression recognition holds a prominent role in today’s digital world with more Human –Computer Interaction happening in day to day life. Successful identification of facial expressions needs extraction of descriptive attributes from the active facial patches and accurate classification. This paper is presented with the comparison of three multi class classifiers namely Linear Discriminant Analysis, AdaBoost and Ensemble bag. … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,787 accessesView PDF Cite

Review ArticleOpen accessIn the keywordsEnvironmental Concerns and Toxicogenetic Endpoints of Priority Substances (PSs) and Contaminants of Emerging Concerns (CECs): A Comprehensive ReviewDe-Sheng Pei, Chun-Di Chen, Naima Hamid et al.Priority Substance (PSs) and Contaminant of Emerging Concerns (CECs) exhibited a wide range of environmental and public health concerns worldwide. This review summarized the documented studies related to the current surface water occurrence, spatial distribution, ecological risks and toxicity of selected PSs, such as polycyclic aromatic hydrocarbons (PAHs) and CECs, such as Di(2-Ethylhexyl) Phthalate (DEHP) and Pharmaceuticals and Personal Care … …American Journal of Environmental Sciences, Vol. 14, Issue 3 · 10 Jul 2018 · 8,389 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsFish Classification Based on Robust Features Extraction From Color Signature Using Back-Propagation ClassifierMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Mohd NoahProblem statement: Image recognition was a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,636 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsAN INTELLIGENT RECOGNITION SYSTEM FOR IDENTIFICATION OF WOOD SPECIESS. Mohan, K. Venkatachalapathy, P. SudhakarThe recognition of wood species is needed is many areas like construction industry, furniture manufacturing, etc.,. The wood is traditionally classified by human experts. But human identification of wood type is not accurate and the manual identification is a time consuming process. So in this study, an intelligent recognition for identification of wood species was developed. This study uses image … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,805 accessesView PDF Cite