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Varun Bajaj
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2020 – today
- 2024
- [j59]Anurodh Kumar, Amit Vishwakarma, Varun Bajaj:
ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images. Comput. Methods Programs Biomed. 251: 108207 (2024) - [j58]Kapil Gupta, Varun Bajaj, Deepak Kumar Jain, Amir Hussain:
Multi-model deep learning system for screening human monkeypox using skin images. Expert Syst. J. Knowl. Eng. 41(10) (2024) - [j57]Anurodh Kumar, Amit Vishwakarma, Varun Bajaj:
Multi-headed CNN for colon cancer classification using histopathological images with tikhonov-based unsharp masking. Multim. Tools Appl. 83(28): 71753-71772 (2024) - [j56]Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, Shivam Mishra:
Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j55]Anurodh Kumar, Amit Vishwakarma, Varun Bajaj:
CRCCN-Net: Automated framework for classification of colorectal tissue using histopathological images. Biomed. Signal Process. Control. 79(Part): 104172 (2023) - [j54]Kapil Gupta, Varun Bajaj:
Deep learning models-based CT-scan image classification for automated screening of COVID-19. Biomed. Signal Process. Control. 80(Part): 104268 (2023) - [j53]Anurodh Kumar, Amit Vishwakarma, Varun Bajaj:
A unique hybrid domain hand-crafted feature to classify colorectal tissue histopathological images using multiheaded CNN. Turkish J. Electr. Eng. Comput. Sci. 31(6): 992-1005 (2023) - [j52]Kapil Gupta, Varun Bajaj, Irshad Ahmad Ansari:
A support system for automatic classification of hypertension using BCG signals. Expert Syst. Appl. 214: 119058 (2023) - [j51]Nakul K. Pathak, Varun Bajaj:
Automatic modulation classification using bimodal parallel multichannel deep learning framework for spatial multiplexing MIMO system. Phys. Commun. 59: 102071 (2023) - [j50]Smith K. Khare, Varun Bajaj, Nikhil B. Gaikwad, Ganesh Ram Sinha:
Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals. Sensors 23(18): 7860 (2023) - [j49]Kapil Gupta, Varun Bajaj, Irshad Ahmad Ansari:
Integrated S-Transform-Based Learning System for Detection of Arrhythmic Fetus. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [c9]Nithin Lakshmisha, Aman Butoliya, Varun Bajaj, Vikram M. Gadre, Soumyo Mukherji:
New Features for the Detection of Fetal QRS Complexes in Non-Invasive Fetal Electrocardiograms. EMBC 2023: 1-5 - 2022
- [j48]Smith K. Khare, Varun Bajaj:
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals. Comput. Biol. Medicine 141: 105028 (2022) - [j47]Rishi Sinhal, Sachin Sharma, Irshad Ahmad Ansari, Varun Bajaj:
Multipurpose medical image watermarking for effective security solutions. Multim. Tools Appl. 81(10): 14045-14063 (2022) - [j46]Kapil Gupta, Varun Bajaj, Irshad Ahmad Ansari:
OSACN-Net: Automated Classification of Sleep Apnea Using Deep Learning Model and Smoothed Gabor Spectrograms of ECG Signal. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j45]Smith K. Khare, Nikhil B. Gaikwad, Varun Bajaj:
VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - 2021
- [j44]Smith K. Khare, Varun Bajaj:
A self-learned decomposition and classification model for schizophrenia diagnosis. Comput. Methods Programs Biomed. 211: 106450 (2021) - [j43]Santhos A. Kumar, Anil Kumar, Varun Bajaj, Girish Kumar Singh:
Class label altering fuzzy min-max network and its application to histopathology image database. Expert Syst. Appl. 176: 114880 (2021) - [j42]Himanshu Singh, Sethu Venkata Raghavendra Kommuri, Anil Kumar, Varun Bajaj:
A new technique for guided filter based image denoising using modified cuckoo search optimization. Expert Syst. Appl. 176: 114884 (2021) - [j41]Smith K. Khare, Varun Bajaj, U. Rajendra Acharya:
SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [j40]Smith K. Khare, Varun Bajaj:
Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2901-2909 (2021) - 2020
- [j39]Silvia Liberata Ullo, Smith K. Khare, Varun Bajaj, Ganesh Ram Sinha:
Hybrid Computerized Method for Environmental Sound Classification. IEEE Access 8: 124055-124065 (2020) - [j38]Shalu Chaudhary, Sachin Taran, Varun Bajaj, Siuly Siuly:
A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications. Comput. Methods Programs Biomed. 187: 105325 (2020) - [j37]Smith K. Khare, Varun Bajaj:
A facile and flexible motor imagery classification using electroencephalogram signals. Comput. Methods Programs Biomed. 197: 105722 (2020) - [j36]Sethu Venkata Raghavendra Kommuri, Himanshu Singh, Anil Kumar, Varun Bajaj:
Bidimensional Empirical Mode Decomposition-Based Diffusion Filtering for Image Denoising. Circuits Syst. Signal Process. 39(10): 5127-5147 (2020) - [j35]Nikhil Agrawal, Anil Kumar, Varun Bajaj:
Design of Infinite Impulse Response Filter Using Fractional Derivative Constraints and Hybrid Particle Swarm Optimization. Circuits Syst. Signal Process. 39(12): 6162-6190 (2020) - [j34]Sravani Chada, Sachin Taran, Varun Bajaj:
An efficient approach for physical actions classification using surface EMG signals. Health Inf. Sci. Syst. 8(1): 3 (2020) - [j33]Fatih Demir, Abdulkadir Sengür, Varun Bajaj:
Convolutional neural networks based efficient approach for classification of lung diseases. Health Inf. Sci. Syst. 8(1): 4 (2020) - [j32]Nikhil Agrawal, Anil Kumar, Varun Bajaj:
A new design approach for nearly linear phase stable IIR filter using fractional derivative. IEEE CAA J. Autom. Sinica 7(2): 527-538 (2020) - [j31]Sachin Taran, Prakash Chandra Sharma, Varun Bajaj:
Automatic sleep stages classification using optimize flexible analytic wavelet transform. Knowl. Based Syst. 192: 105367 (2020) - [j30]Santhos A. Kumar, Anil Kumar, Varun Bajaj, Girish Kumar Singh:
McCulloch's algorithm inspired cuckoo search optimizer based mammographic image segmentation. Multim. Tools Appl. 79(41-42): 30453-30488 (2020) - [j29]Santhos A. Kumar, Anil Kumar, Varun Bajaj, Girish Kumar Singh:
An Improved Fuzzy Min-Max Neural Network for Data Classification. IEEE Trans. Fuzzy Syst. 28(9): 1910-1924 (2020) - [j28]Sachin Taran, Varun Bajaj:
Sleep Apnea Detection Using Artificial Bee Colony Optimize Hermite Basis Functions for EEG Signals. IEEE Trans. Instrum. Meas. 69(2): 608-616 (2020) - [j27]Smith K. Khare, Varun Bajaj, Ganesh Ram Sinha:
Adaptive Tunable Q Wavelet Transform-Based Emotion Identification. IEEE Trans. Instrum. Meas. 69(12): 9609-9617 (2020)
2010 – 2019
- 2019
- [j26]Sachin Taran, Varun Bajaj:
Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method. Comput. Methods Programs Biomed. 173: 157-165 (2019) - [j25]Nikhil Agrawal, Anil Kumar, Varun Bajaj:
A New Method for Designing of Stable Digital IIR Filter Using Hybrid Method. Circuits Syst. Signal Process. 38(5): 2187-2226 (2019) - [j24]Fatih Demir, Abdulkadir Sengür, Varun Bajaj, Kemal Polat:
Towards the classification of heart sounds based on convolutional deep neural network. Health Inf. Sci. Syst. 7(1): 16 (2019) - [j23]Siuly Siuly, Varun Bajaj, Abdulkadir Sengür, Yanchun Zhang:
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals. Int. J. Autom. Comput. 16(6): 737-747 (2019) - [j22]Varun Bajaj, Mayank Pawar, Vinod Kumar Meena, Mukesh Kumar, Abdulkadir Sengür, Yanhui Guo:
Computer-aided diagnosis of breast cancer using bi-dimensional empirical mode decomposition. Neural Comput. Appl. 31(8): 3307-3315 (2019) - [j21]Sachin Taran, Varun Bajaj:
Motor imagery tasks-based EEG signals classification using tunable-Q wavelet transform. Neural Comput. Appl. 31(11): 6925-6932 (2019) - [j20]Fatih Demir, Varun Bajaj, Melih Cevdet Ince, Sachin Taran, Abdulkadir Sengür:
Surface EMG signals and deep transfer learning-based physical action classification. Neural Comput. Appl. 31(12): 8455-8462 (2019) - [j19]Nikhil Agrawal, Anil Kumar, Varun Bajaj, Girish Kumar Singh:
Design of Bandpass and Bandstop Infinite Impulse Response Filters Using Fractional Derivative. IEEE Trans. Ind. Electron. 66(2): 1285-1295 (2019) - 2018
- [j18]Varun Bajaj, Sachin Taran, Abdulkadir Sengür:
Emotion classification using flexible analytic wavelet transform for electroencephalogram signals. Health Inf. Sci. Syst. 6(1): 12 (2018) - [j17]Sukumar Nagineni, Sachin Taran, Varun Bajaj:
Features based on variational mode decomposition for identification of neuromuscular disorder using EMG signals. Health Inf. Sci. Syst. 6(1): 13 (2018) - [j16]Erkan Deniz, Abdulkadir Sengür, Zehra Kadiroglu, Yanhui Guo, Varun Bajaj, Ümit Budak:
Transfer learning based histopathologic image classification for breast cancer detection. Health Inf. Sci. Syst. 6(1): 18 (2018) - [j15]Shreya Pare, Ashish Kumar Bhandari, Anil Kumar, Varun Bajaj:
Backtracking search algorithm for color image multilevel thresholding. Signal Image Video Process. 12(2): 385-392 (2018) - [j14]Nikhil Agrawal, Anil Kumar, Varun Bajaj:
Design of digital IIR filter with low quantization error using hybrid optimization technique. Soft Comput. 22(9): 2953-2971 (2018) - [j13]Shweta Jain, Varun Bajaj, Anil Kumar:
Riemann Liouvelle Fractional Integral Based Empirical Mode Decomposition for ECG Denoising. IEEE J. Biomed. Health Informatics 22(4): 1133-1139 (2018) - [c8]Nikhil Agrawal, Anil Kumar, Varun Bajaj:
Phase Optimization based Design of Infinite Impulse Response Filter using Fractional Derivative. DSP 2018: 1-5 - 2017
- [j12]Shreya Pare, Anil Kumar, Varun Bajaj, Girish Kumar Singh:
An efficient method for multilevel color image thresholding using cuckoo search algorithm based on minimum cross entropy. Appl. Soft Comput. 61: 570-592 (2017) - [j11]Sachin Taran, Varun Bajaj, Siuly Siuly:
An optimum allocation sampling based feature extraction scheme for distinguishing seizure and seizure-free EEG signals. Health Inf. Sci. Syst. 5(1): 7 (2017) - [j10]Abdulkadir Sengür, Yaman Akbulut, Yanhui Guo, Varun Bajaj:
Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm. Health Inf. Sci. Syst. 5(1): 9 (2017) - [j9]Varun Bajaj, Khushnandan Rai, Anil Kumar, Dheeraj Sharma, Girish Kumar Singh:
Rhythm-based features for classification of focal and non-focal EEG signals. IET Signal Process. 11(6): 743-748 (2017) - [j8]Nikhil Agrawal, Anil Kumar, Varun Bajaj, Girish Kumar Singh:
High order stable infinite impulse response filter design using cuckoo search algorithm. Int. J. Autom. Comput. 14(5): 589-602 (2017) - [j7]Varun Bajaj, Yanhui Guo, Abdulkadir Sengür, Siuly Siuly, Omer F. Alcin:
A hybrid method based on time-frequency images for classification of alcohol and control EEG signals. Neural Comput. Appl. 28(12): 3717-3723 (2017) - [j6]Nikhil Agrawal, Anil Kumar, Varun Bajaj:
A New Design Method for Stable IIR Filters With Nearly Linear-Phase Response Based on Fractional Derivative and Swarm Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 1(6): 464-477 (2017) - 2016
- [j5]Shreya Pare, Anil Kumar, Varun Bajaj, Girish Kumar Singh:
A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve. Appl. Soft Comput. 47: 76-102 (2016) - [j4]Ömer Faruk Alçin, Siuly Siuly, Varun Bajaj, Yanhui Guo, Abdulkadir Sengür, Yanchun Zhang:
Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method. Neurocomputing 218: 251-258 (2016) - [c7]Matthew Bourque, Varun Bajaj, Ariel Bowers, Michael Dulude, Meredith Durbin, Catherine Gosmeyer, Heather Gunning, Harish Khandrika, Catherine Martlin, Ben Sunnquist, Alex Viana:
The HST/WFC3 Quicklook Project: A User Interface to Hubble Space Telescope Wide Field Camera 3 Data. Astroinformatics 2016: 397-400 - [c6]Nikhil Agrawal, Anil Kumar, Varun Bajaj, Heung-No Lee:
Controlled ripple based design of digital IIR filter. DSP 2016: 627-631 - 2015
- [c5]Khushnandan Rai, Varun Bajaj, Anil Kumar:
Novel feature for identification of focal EEG signals with k-Means and fuzzy c-means algorithms. DSP 2015: 412-416 - [p1]Varun Bajaj, Ram Bilas Pachori:
Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signals. Brain-Computer Interfaces 2015: 215-240 - 2014
- [c4]Varun Bajaj, Ram Bilas Pachori:
Human Emotion Classification from EEG Signals Using Multiwavelet Transform. ICMB 2014: 125-130 - 2013
- [j3]Varun Bajaj, Ram Bilas Pachori:
Automatic classification of sleep stages based on the time-frequency image of EEG signals. Comput. Methods Programs Biomed. 112(3): 320-328 (2013) - 2012
- [j2]Varun Bajaj, Ram Bilas Pachori:
Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition. IEEE Trans. Inf. Technol. Biomed. 16(6): 1135-1142 (2012) - [c3]Varun Bajaj, Ram Bilas Pachori:
Separation of Rhythms of EEG Signals Based on Hilbert-Huang Transformation with Application to Seizure Detection. ICHIT (1) 2012: 493-500 - 2011
- [j1]Ram Bilas Pachori, Varun Bajaj:
Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition. Comput. Methods Programs Biomed. 104(3): 373-381 (2011) - [c2]Varun Bajaj, Ram Bilas Pachori:
Application of the Sample Entropy for Discrimination between Seizure and Seizure-Free EEG Signals. IICAI 2011: 1232-1247 - [c1]Varun Bajaj, Ram Bilas Pachori:
EEG Signal Classification Using Empirical Mode Decomposition and Support Vector Machine. SocProS (2) 2011: 623-635
Coauthor Index
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last updated on 2024-10-04 20:03 CEST by the dblp team
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