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Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Background Autism spectrum disorder is a common group of conditions affecting about one
in 54 children. Electroencephalogram (EEG) signals from children with autism have a …
in 54 children. Electroencephalogram (EEG) signals from children with autism have a …
A decision support system for configuring spare parts supply chains considering different manufacturing technologies
A well-configured spare parts supply chain (SC) can reduce costs and increase the
competitiveness of spare parts retailers. A structured method for configuring spare parts SCs …
competitiveness of spare parts retailers. A structured method for configuring spare parts SCs …
[PDF][PDF] Classification and regression trees with gini index
Classification and Regression Trees (CART) is applied for classifying and predicting
regression problems. The CART model is represented using a binary tree, which uses split …
regression problems. The CART model is represented using a binary tree, which uses split …
A study on credit scoring modeling with different feature selection and machine learning approaches
SK Trivedi - Technology in Society, 2020 - Elsevier
A bit hurdle for financial institutions is to decide potential candidates to give a line of credit
identifying the right people without any credit risk. For such a crucial decision, past …
identifying the right people without any credit risk. For such a crucial decision, past …
A deep neural network and classical features based scheme for objects recognition: an application for machine inspection
Computer Vision (CV) domain is widely used in the current era of automation and visual
surveillance for the detection and classification of different objects in a diverse environment …
surveillance for the detection and classification of different objects in a diverse environment …
Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method
Muscle activity decreases due to various conditions like age factors and muscle diseases
namely, amyotrophic lateral sclerosis (ALS) and myopathy. Electromyogram (EMG) signals …
namely, amyotrophic lateral sclerosis (ALS) and myopathy. Electromyogram (EMG) signals …
[HTML][HTML] Classification of firewall log data using multiclass machine learning models
These days, we are witnessing unprecedented challenges to network security. This indeed
confirms that network security has become increasingly important. Firewall logs are …
confirms that network security has become increasingly important. Firewall logs are …
[HTML][HTML] Relevance-diversity algorithm for feature selection and modified Bayes for prediction
Big data analytics uncovers hidden patterns through classification, prediction and
reinforcement of big datasets. In these datasets, some features have a negligible connection …
reinforcement of big datasets. In these datasets, some features have a negligible connection …
[HTML][HTML] EDT-STACK: A stacking ensemble-based decision trees algorithm for tire tread depth condition classification
Tires serve as the critical interface between a vehicle and the road. Their condition
significantly impacts road safety, vehicle performance, fuel efficiency, and operational costs …
significantly impacts road safety, vehicle performance, fuel efficiency, and operational costs …
Optimal policy learning for COVID-19 prevention using reinforcement learning
COVID-19 has changed the lifestyle of many people due to its rapid human-to-human
transmission. The spread started at the end of January 2020, and different countries used …
transmission. The spread started at the end of January 2020, and different countries used …