Suhas S. Gajre
Orcid: 0000-0002-7021-3453
According to our database1,
Suhas S. Gajre
authored at least 21 papers
between 2006 and 2024.
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Bibliography
2024
EEG signal-based classification of mental tasks using a one-dimensional ConvResT model.
Neural Comput. Appl., June, 2024
2023
J. Circuits Syst. Comput., October, 2023
Real-Time Clustering and Classification of Physiological Big Data for Healthcare Monitoring.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
2022
Cognitive workload classification: Towards generalization through innovative pipeline interface using HMM.
Biomed. Signal Process. Control., 2022
2021
Classification of cross task cognitive workload using deep recurrent network with modelling of temporal dynamics.
Biomed. Signal Process. Control., 2021
Biomed. Signal Process. Control., 2021
Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network.
Proceedings of the Pattern Recognition and Machine Intelligence, 2021
2020
Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network.
IEEE Trans. Intell. Veh., 2020
Pattern Recognit. Lett., 2020
Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network.
Proceedings of the TENCON 2019, 2019
2018
Cluster-based real-time analysis of mobile healthcare application for prediction of physiological data.
J. Ambient Intell. Humaniz. Comput., 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
Fully automated subchondral bone segmentation from knee MR images: Data from the Osteoarthritis Initiative.
Comput. Biol. Medicine, 2017
Local gray level S-curve transformation - A generalized contrast enhancement technique for medical images.
Comput. Biol. Medicine, 2017
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
Comparative Study of Lossless ECG Signal Compression Techniques for Wireless Networks.
Proceedings of the Computing in Cardiology, 2017
Proceedings of the Computing in Cardiology, 2017
2013
Proceedings of the Computing in Cardiology, 2013
2012
ECG Denoising by Modeling Wavelet Sub-Band Coefficients using Kernel Density Estimation.
J. Inf. Process. Syst., 2012
2006
Novel Method of Using Dynamic Electrical Impedance Signals for Noninvasive Diagnosis of Knee Osteoarthritis.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006