Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

M Baygin, S Dogan, T Tuncer, PD Barua… - Computers in Biology …, 2021 - Elsevier
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 …

A decision support system for configuring spare parts supply chains considering different manufacturing technologies

A Cantini, M Peron, F De Carlo… - International Journal of …, 2024 - Taylor & Francis
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 …

[PDF][PDF] Classification and regression trees with gini index

T Daniya, M Geetha, KS Kumar - Advances in Mathematics …, 2020 - researchgate.net
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 …

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 …

A deep neural network and classical features based scheme for objects recognition: an application for machine inspection

N Hussain, MA Khan, M Sharif, SA Khan… - Multimedia Tools and …, 2024 - Springer
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 …

Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method

R Dubey, M Kumar, A Upadhyay, RB Pachori - … Signal Processing and …, 2022 - Elsevier
Muscle activity decreases due to various conditions like age factors and muscle diseases
namely, amyotrophic lateral sclerosis (ALS) and myopathy. Electromyogram (EMG) signals …

[HTML][HTML] Classification of firewall log data using multiclass machine learning models

M Aljabri, AA Alahmadi, RMA Mohammad… - Electronics, 2022 - mdpi.com
These days, we are witnessing unprecedented challenges to network security. This indeed
confirms that network security has become increasingly important. Firewall logs are …

[HTML][HTML] Relevance-diversity algorithm for feature selection and modified Bayes for prediction

M Shaheen, N Naheed, A Ahsan - Alexandria Engineering Journal, 2023 - Elsevier
Big data analytics uncovers hidden patterns through classification, prediction and
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

M Rahman, N Kamal, NF Abdullah - Results in Engineering, 2024 - Elsevier
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 …

Optimal policy learning for COVID-19 prevention using reinforcement learning

MI Uddin, SA Ali Shah… - Journal of …, 2022 - journals.sagepub.com
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 …