AgriNet: a New Classifying Convolutional Neural Network for Detecting Agricultural Products’ Diseases

F. Salimian Najafabadi; M. T. Sadeghi

Volume 10, Issue 2 , April 2022, , Pages 285-302

http://dx.doi.org/10.22044/jadm.2022.11360.2295

Abstract
  An important sector that has a significant impact on the economies of countries is the agricultural sector. Researchers are trying to improve this sector by using the latest technologies. One of the problems facing farmers in the agricultural activities is plant diseases. If a plant problem is diagnosed ...  Read More

H.3. Artificial Intelligence
Composite Kernel Optimization in Semi-Supervised Metric

T. Zare; M. T. Sadeghi; H. R. Abutalebi; J. Kittler

Volume 5, Issue 2 , July 2017, , Pages 259-273

http://dx.doi.org/10.22044/jadm.2017.906

Abstract
  Machine-learning solutions to classification, clustering and matching problems critically depend on the adopted metric, which in the past was selected heuristically. In the last decade, it has been demonstrated that an appropriate metric can be learnt from data, resulting in superior performance as compared ...  Read More