Powdery Mildew Detection in Hazelnut with Deep Learning

Melanoma detection with a deep learning model

Background: Skin cancer is one of the most common forms of cancer in the world and melanoma is the deadliest type of skin cancer. Both melanoma and melanocytic nevi begin in melanocytes (cells that produce melanin). However, melanocytic nevi are benign whereas melanoma is malignant. This work proposes a deep learning model for classification of these two lesions.    Methods: In this analytic s...

Powdery mildew of soybeans.

Fungi Associated With the Powdery Mildew of Buxus Trees in Gorgan Landscape

In this research,for taxonomic studies and identification of the fungi associated with the powdery mildew(Oidium euonymi- japonici) of Buxus trees (Euonymus japonica), the infected leaves were collected during autumn and winter 2012-2013 in Gorgan (Golestan province -Iran). The samples after washing and surface sterilizing, were cultured on PDA medium(with boxwood extract).Then based on availab...

Powdery Mildew of Cucurbits in Florida1

1. This document is HS1067 one of a series of the Horticultural Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date June 28, 2006. Visit the EDIS Web Site at http://edis.ifas.ufl.edu. 2. Hector G. Nuñez-Palenius, Graduate Assistant; Daniel J. Cantliffe, Professor and Chair, Horticultural Scienc...

Concept drift detection in business process logs using deep learning

Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...