DK
Dr Arshpreet Kaur
Manipal University Jaipur
Research areas: Computer Science · Artificial Intelligence · EEG and Brain-Computer Interfaces · Emotion and Mood Recognition · ECG Monitoring and Analysis
0000-0002-5157-5870
Employment
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Manipal University Jaipur Associate Professor2026 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (28)
- Comparative Analysis of Deep Learning Techniques for Isolating Interictal Activity from EEG Artifacts Save
- A modified MultiResUNet model with attention focus for breast cancer detection Save
- Enhanced Breast Cancer Classification: A Novel Fusion of Deep Features, Shape Features and GCLM Features Save
- Hybrid Fusion Approach Using CNN and Vision Transformer for Breast Cancer Classification from Mammograms Save
- Hybrid and optimized feature fusion for enhanced breast cancer classification Save
- Identifying Inter-ictal Activity Amidst Artefacts Using Convolution Neural Network Save
- Exploring Advanced Segmentation Strategies for Breast Cancer Detection: A Comparative Study of U-Net Variants and Ensemble Model Save
- A Weighted Ensemble Model for Prediction of Dengue Occurrence in North India (Chandigarh) Save
- A reliable click-fraud detection system for the investigation of fraudulent publishers in online advertising Save
- An Ensemble Model (Simple Average) for Malaria Cases in North India Save
- Identification of Inter-ictal Activity from EEG Signal Using Scalograms with LeNet-5 Based Model Save
- Automated identification of inter-ictal discharges using residual deep learning neural network amidst of various artefacts Save
- Identification of inter-ictal activity in novel data by bagged prediction method using beta and gamma waves Save
- Implementation of convolution neural network using scalogram for identification of epileptic activity Save
- Recognition of types of arrhythmia: An implementation of ensembling techniques using ECG beat Save
- Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India Save
- Identification of inter-ictal activity in novel data by bagged prediction method using beta and gamma waves Save
- Application of time series methods for dengue cases in North India (Chandigarh) Save
- Automated Identification of Interictal Activity from EEG Signal Using Non-linear Features Save
- Comparison of Classification Models Using Entropy Based Features from Sub-bands of EEG Save