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Chapter
Rate of Penetration (ROP) Prediction in Oil Drilling Based on Ensemble Machine Learning
This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important...
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Article
Open AccessOn the use of multi-agent systems for the monitoring of industrial systems
The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex p...
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Chapter
Fuzzy Modeling of Single Machine Scheduling Problems Including the Learning Effect
In this chapter, we consider the single machine scheduling problem including uncertain parameters and position based learning effect with the aim to minimize the weighted sum of jobs completion times. Due to t...
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Article
Evaluation of optimality in the fuzzy single machine scheduling problem including discounted costs
The single machine scheduling problem has been often regarded as a simplified representation that contains many polynomial solvable cases. However, in real-world applications, the imprecision of data at the le...
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Article
Fault diagnosis of rotary kiln using SVM and binary ACO
This paper proposes a novel hybrid algorithm for fault diagnosis of rotary kiln based on a binary ant colony (BACO) and support vector machine (SVM). The algorithm can find a subset selection which is attained...
