Cross-validated adaboost classification of emotion regulation strategies identified by spectral coherence in resting-state
S Aydın - Neuroinformatics, 2022 - Springer
In the present study, quantitative relations between Cognitive Emotion Regulation strategies
(CERs) and EEG synchronization levels have been investigated for the first time. For this …
(CERs) and EEG synchronization levels have been investigated for the first time. For this …
Detection of ADHD from EEG signals using different entropy measures and ANN
R Catherine Joy, S Thomas George… - Clinical EEG and …, 2022 - journals.sagepub.com
Attention deficit hyperactivity disorder (ADHD) is a prevalent behavioral, cognitive,
neurodevelopmental pediatric disorder. Clinical evaluations, symptom surveys, and …
neurodevelopmental pediatric disorder. Clinical evaluations, symptom surveys, and …
Regression analysis for detecting epileptic seizure with different feature extracting strategies
Due to the excitability of neurons in the brain, a neurological disorder is produced known as
epilepsy. The brain activity of patients suffering from epilepsy is monitored through …
epilepsy. The brain activity of patients suffering from epilepsy is monitored through …
[PDF][PDF] Machine learning based congestive heart failure detection using feature importance ranking of multimodal features
In this study, we ranked the Multimodal Features extracted from Congestive Heart Failure
(CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 …
(CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 …
Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust …
The incidence of congestive heart failure (CHF) is approximately 10 per 1000 for Americans
over the age of 65 years. The dynamics of CHF are highly complex, nonlinear, and temporal …
over the age of 65 years. The dynamics of CHF are highly complex, nonlinear, and temporal …
Analyzing the dynamics of lung cancer imaging data using refined fuzzy entropy methods by extracting different features
Lung cancer is the major cause of cancer-related deaths worldwide with poor survival due to
the poor diagnostic system at the advanced cancer stage. In the past, researchers …
the poor diagnostic system at the advanced cancer stage. In the past, researchers …
Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques
Cardiac arrhythmias are disturbances in the rhythm of the heart manifested by irregularity or
by abnormally fast rates ('tachycardia') or abnormally slow rates ('bradycardias'). In the past …
by abnormally fast rates ('tachycardia') or abnormally slow rates ('bradycardias'). In the past …
DEW: A wavelet approach of rare sound event detection
S Gul, MS Khan, A Ur-Rehman - Plos one, 2024 - journals.plos.org
This paper presents a novel sound event detection (SED) system for rare events occurring in
an open environment. Wavelet multiresolution analysis (MRA) is used to decompose the …
an open environment. Wavelet multiresolution analysis (MRA) is used to decompose the …
Free-Flowing Polymer-Bonded Powder Composition of Hexahydro-1, 3, 5-trinitro-1, 3, 5-triazine Using Solvent–Slurry Coating
A number of coating techniques have been used to improve the processability of high
explosives. These techniques are typically used for developing compositions, such as …
explosives. These techniques are typically used for developing compositions, such as …
Deep convolutional neural networks accurately predict breast cancer using mammograms
L Hussain, S Ansari, M Shabir, SA Qureshi… - Waves in Random …, 2023 - Taylor & Francis
Breast cancer in women is the most frequently diagnosed and major leading cause of
cancer deaths. Due to the complex nature of microcalcification and masses, radiologists fail …
cancer deaths. Due to the complex nature of microcalcification and masses, radiologists fail …