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Keywords: SVM Malarial incidences Forecasting Time series FFA a b s t r a c t Accurate and reliable forecasts of malarial incidences are necessary for the health authorities to ensure the appropriate action for the control of the outbreak. In this study, a novel method based on coupling the Firefly Algorithm (FFA) and Support Vector Machines (SVM) has been(More)
The larvicidal activity of Mentha piperita, Cymbopogan citratus (lemongrass), Eucalyptus globulus and Citrus sinensis (orange) essential oils and their combinations was evaluated against Musca domestica (housefly) and Anopheles stephensi (mosquitoes) through contact toxicity assay. Among all the tested essential oils/combinations, Me. piperita was found to(More)
The paper analyzed genetic parameters of 144 progenies of selected clones of Populus deltoides Bartr. ex. Marsh growing at the farm of WIMCO Seedligs Ltd., Bagwala, Rudapur (Uttarakhand), India, on the basis of growth traits viz. diameter at breast height (DBH) and height and wood traits namely fiber dimensions, vessel dimensions, proportion of tissues of(More)
We studied radial and inter-progeny variations in the dimensions of the wood elements and specific gravity of 21 half sib progenies of Populus deltoides Bartr. ex Marsh. The female parents of half sib progenies were G48 and S7C13 clones. Variance ratio (F) test indicated that inter-progeny variations in the dimensions of wood elements and specific gravity(More)
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