37 results on '"Agastinose Ronickom, Jac Fredo"'
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2. Establishment of Three Gene Prognostic Markers in Pancreatic Ductal Adenocarcinoma Using Machine Learning Approach
3. Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features
4. A feasibility study on using EEG for Biometric Trait Authentication System
5. ECG based Categorical emotion classification using time-domain features and Machine Learning
6. Comparing Pertubagens from Differential Gene Expression Data Analysis of ASD using Random Forest and Statistical Test
7. Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features
8. A Comparative Study on EEG Features for Neonatal Seizure Detection
9. Damage monitoring in fibre-reinforced polymer composites using adaptive threshold methods and geometric features
10. Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images
11. Time-Sliced Architecture for Efficient Accelerator to Detrend High-Definition Electroencephalograms.
12. Automated Diagnosis of Autism Spectrum Disorder Condition Using Shape Based Features Extracted from Brainstem
13. Low-Power Hardware Accelerator for Detrending Measured Biopotential Data.
14. Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity.
15. Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning.
16. Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms.
17. Age-Specific Diagnostic Classification of ASD Using Deep Learning Approaches.
18. A Framework to Diagnose Autism Spectrum Disorder Using Morphological Connectivity of sMRI and XGBoost.
19. Damage monitoring in fibre-reinforced polymer composites using adaptive threshold methods and geometric features
20. Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images.
21. Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression.
22. Multi-Class Seizure Type Classification Using Features Extracted from the EEG.
23. Diagnostic Classification of ASD Using Fractal Functional Connectivity of fMRI and Logistic Regression.
24. Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic Regression.
25. Automated Emotion Recognition System Learning.
26. Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals.
27. Low-Power Hardware Accelerator for Detrending Measured Biopotential Data
28. Differential Gene Expression Data Analysis of ASD Using Random Forest.
29. Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning.
30. Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System.
31. Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms
32. Automated damage detection and characterization of polymer composite images using Tsallis‐particle swarm optimization‐based multilevel threshold and multifractals
33. CLASSIFICATION OF NORMAL AND KNEE JOINT DISORDER VIBROARTHROGRAPHIC SIGNALS USING MULTIFRACTALS AND SUPPORT VECTOR MACHINES
34. Prioritization before dereplication, an effective strategy to target new metabolites in whole extracts: ghosalin from Murraya paniculata root.
35. Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning.
36. Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning.
37. Automated Diagnosis of Autism Spectrum Disorder Condition Using Shape Based Features Extracted from Brainstem.
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