decision trees

Decision Trees for Fault Diagnosis in Circuits and Switching Networks

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B9 L2 H2325

We study theoretical problems of fault diagnosis in circuits and switching networks, which are among the most fundamental models for computing Boolean functions.

New Book "Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions" of Professor Moshkov and His Former Students is Published by Springer

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New book "Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions" by Fawaz Alsolami, Mohammad Azad, Igor Chikalov, and Mikhail Moshkov is published by Springer

Fault Identification of Photovoltaic Array Based on Machine Learning Classifiers

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The Solar Photovoltaic (PV) industry has experienced significant growth over the past years due to the technology’s clear economic and environmental benefits. The world’s net electricity generation from grid-connected PV systems is expected to rise. Although PV systems don’t incorporate moving parts and usually require low maintenance, they are still subjected to diverse faults across the various system components. Proper fault detection and/or identification is thus necessary to avoid significant energy generation loss and large capital expenditures. Fault identification in Photovoltaic array