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Agricultural, industrial, and domestic activities are major contributors to the contamination of natural environments. The aim of this study is to assess the level of sediment contamination by organic pollutants in three Moroccan lagoons: Moulay Bousselham, Oualidia, and Khnifiss. samples were analyzed using liquid chromatography (LC) coupled with mass spectrometry (MS) in Multiple Reaction Monitoring...
Human activity recognition (HAR) is an interesting research area in machine learning. The purpose of human activity recognition study is to automatically detect human activities from the information acquired from different sensors, and to analyze this information using statistical techniques. Big data still a challenging problem in human activity prediction. Several approaches have recently been developed...
Credit scoring is a quantitative method. It has been used in the banking industry. The major challenge of credit scoring is essentially to classify credit customers into different risk groups. As known methods, Hidden Markov Model (HMM) have been proposed as a classification technique. It can be utilized to build a classification model. The developed process consists to distinguish preciously the...
Nowadays, credit scoring has studied both in academic world and the business community. Many modeling techniques have been developed to be useful in domain of credit scoring. This paper establishes a credit scoring model via an iterative procedure approach, Baum-Welch method. It is a novel method applied to solve credit scoring problems, and to explore a good accuracy model. The algorithm is successfully...
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