Application of the Sample Entropy for Discrimination between Seizure and Seizure-Free EEG Signals. - Varun Bajaj; Ram Bilas Pachori (IICAI, 2011)

EEG Signal Classification Using Empirical Mode Decomposition and Support Vector Machine. - Varun Bajaj; Ram Bilas Pachori (SocProS (2), 2011)

Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition. - Ram Bilas Pachori; Varun Bajaj (Comput. Methods Programs Biomed., 2011)

Separation of Rhythms of EEG Signals Based on Hilbert-Huang Transformation with Application to Seizure Detection. - Varun Bajaj; Ram Bilas Pachori (ICHIT (1), 2012)

Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition. - Varun Bajaj; Ram Bilas Pachori (IEEE Trans. Inf. Technol. Biomed., 2012)

Automatic classification of sleep stages based on the time-frequency image of EEG signals. - Varun Bajaj; Ram Bilas Pachori (Comput. Methods Programs Biomed., 2013)

Human Emotion Classification from EEG Signals Using Multiwavelet Transform. - Varun Bajaj; Ram Bilas Pachori (ICMB, 2014)

Novel feature for identification of focal EEG signals with k-Means and fuzzy c-means algorithms. - Khushnandan Rai; Varun Bajaj; Anil Kumar 001 (DSP, 2015)

Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signals. - Varun Bajaj; Ram Bilas Pachori (Brain-Computer Interfaces, 2015)

The HST/WFC3 Quicklook Project: A User Interface to Hubble Space Telescope Wide Field Camera 3 Data. - Matthew Bourque; Varun Bajaj; Ariel Bowers; Michael Dulude; Meredith Durbin; Catherine Gosmeyer; Heather Gunning; Harish Khandrika; Catherine Martlin; Ben Sunnquist; Alex Viana (Astroinformatics, 2016)

Controlled ripple based design of digital IIR filter. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj; Heung-No Lee (DSP, 2016)

A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve. - Shreya Pare; Anil Kumar 001; Varun Bajaj; Girish Kumar Singh 002 (Appl. Soft Comput., 2016)

Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method. - Ömer Faruk Alçin; Siuly Siuly; Varun Bajaj; Yanhui Guo 001; Abdulkadir Sengür; Yanchun Zhang (Neurocomputing, 2016)

An efficient method for multilevel color image thresholding using cuckoo search algorithm based on minimum cross entropy. - Shreya Pare; Anil Kumar 001; Varun Bajaj; Girish Kumar Singh 002 (Appl. Soft Comput., 2017)

Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm. - Abdulkadir Sengür; Yaman Akbulut; Yanhui Guo 001; Varun Bajaj (Health Inf. Sci. Syst., 2017)

An optimum allocation sampling based feature extraction scheme for distinguishing seizure and seizure-free EEG signals. - Sachin Taran; Varun Bajaj; Siuly Siuly (Health Inf. Sci. Syst., 2017)

Rhythm-based features for classification of focal and non-focal EEG signals. - Varun Bajaj; Khushnandan Rai; Anil Kumar 001; Dheeraj Sharma; Girish Kumar Singh 002 (IET Signal Process., 2017)

High order stable infinite impulse response filter design using cuckoo search algorithm. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj; Girish Kumar Singh 002 (Int. J. Autom. Comput., 2017)

A hybrid method based on time-frequency images for classification of alcohol and control EEG signals. - Varun Bajaj; Yanhui Guo 001; Abdulkadir Sengür; Siuly Siuly; Omer F. Alcin (Neural Comput. Appl., 2017)

A New Design Method for Stable IIR Filters With Nearly Linear-Phase Response Based on Fractional Derivative and Swarm Intelligence. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Phase Optimization based Design of Infinite Impulse Response Filter using Fractional Derivative. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj (DSP, 2018)

Emotion classification using flexible analytic wavelet transform for electroencephalogram signals. - Varun Bajaj; Sachin Taran; Abdulkadir Sengür (Health Inf. Sci. Syst., 2018)

Transfer learning based histopathologic image classification for breast cancer detection. - Erkan Deniz; Abdulkadir Sengür; Zehra Kadiroglu; Yanhui Guo 001; Varun Bajaj; Ümit Budak (Health Inf. Sci. Syst., 2018)

Features based on variational mode decomposition for identification of neuromuscular disorder using EMG signals. - Sukumar Nagineni; Sachin Taran; Varun Bajaj (Health Inf. Sci. Syst., 2018)

Backtracking search algorithm for color image multilevel thresholding. - Shreya Pare; Ashish Kumar Bhandari; Anil Kumar 001; Varun Bajaj (Signal Image Video Process., 2018)

Design of digital IIR filter with low quantization error using hybrid optimization technique. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj (Soft Comput., 2018)

Riemann Liouvelle Fractional Integral Based Empirical Mode Decomposition for ECG Denoising. - Shweta Jain 004; Varun Bajaj; Anil Kumar 001 (IEEE J. Biomed. Health Informatics, 2018)

Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method. - Sachin Taran; Varun Bajaj (Comput. Methods Programs Biomed., 2019)

A New Method for Designing of Stable Digital IIR Filter Using Hybrid Method. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj (Circuits Syst. Signal Process., 2019)

Towards the classification of heart sounds based on convolutional deep neural network. - Fatih Demir; Abdulkadir Sengür; Varun Bajaj; Kemal Polat (Health Inf. Sci. Syst., 2019)

An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals. - Siuly Siuly; Varun Bajaj; Abdulkadir Sengür; Yanchun Zhang (Int. J. Autom. Comput., 2019)

Computer-aided diagnosis of breast cancer using bi-dimensional empirical mode decomposition. - Varun Bajaj; Mayank Pawar; Vinod Kumar Meena; Mukesh Kumar; Abdulkadir Sengür; Yanhui Guo 001 (Neural Comput. Appl., 2019)

Surface EMG signals and deep transfer learning-based physical action classification. - Fatih Demir; Varun Bajaj; Melih Cevdet Ince; Sachin Taran; Abdulkadir Sengür (Neural Comput. Appl., 2019)

Motor imagery tasks-based EEG signals classification using tunable-Q wavelet transform. - Sachin Taran; Varun Bajaj (Neural Comput. Appl., 2019)

Design of Bandpass and Bandstop Infinite Impulse Response Filters Using Fractional Derivative. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj; Girish Kumar Singh 002 (IEEE Trans. Ind. Electron., 2019)

Hybrid Computerized Method for Environmental Sound Classification. - Silvia Liberata Ullo; Smith K. Khare; Varun Bajaj; Ganesh Ram Sinha (IEEE Access, 2020)

A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications. - Shalu Chaudhary; Sachin Taran; Varun Bajaj; Siuly Siuly (Comput. Methods Programs Biomed., 2020)

A facile and flexible motor imagery classification using electroencephalogram signals. - Smith K. Khare; Varun Bajaj (Comput. Methods Programs Biomed., 2020)

Design of Infinite Impulse Response Filter Using Fractional Derivative Constraints and Hybrid Particle Swarm Optimization. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj (Circuits Syst. Signal Process., 2020)

Bidimensional Empirical Mode Decomposition-Based Diffusion Filtering for Image Denoising. - Sethu Venkata Raghavendra Kommuri; Himanshu Singh 001; Anil Kumar 001; Varun Bajaj (Circuits Syst. Signal Process., 2020)

An efficient approach for physical actions classification using surface EMG signals. - Sravani Chada; Sachin Taran; Varun Bajaj (Health Inf. Sci. Syst., 2020)

Convolutional neural networks based efficient approach for classification of lung diseases. - Fatih Demir; Abdulkadir Sengür; Varun Bajaj (Health Inf. Sci. Syst., 2020)

A new design approach for nearly linear phase stable IIR filter using fractional derivative. - Nikhil Agrawal; Anil Kumar 001; Varun Bajaj (IEEE CAA J. Autom. Sinica, 2020)

Automatic sleep stages classification using optimize flexible analytic wavelet transform. - Sachin Taran; Prakash Chandra Sharma; Varun Bajaj (Knowl. Based Syst., 2020)

McCulloch's algorithm inspired cuckoo search optimizer based mammographic image segmentation. - Santhos A. Kumar; Anil Kumar 001; Varun Bajaj; Girish Kumar Singh 002 (Multim. Tools Appl., 2020)

An Improved Fuzzy Min-Max Neural Network for Data Classification. - Santhos A. Kumar; Anil Kumar 001; Varun Bajaj; Girish Kumar Singh 002 (IEEE Trans. Fuzzy Syst., 2020)

Adaptive Tunable Q Wavelet Transform-Based Emotion Identification. - Smith K. Khare; Varun Bajaj; Ganesh Ram Sinha (IEEE Trans. Instrum. Meas., 2020)

Sleep Apnea Detection Using Artificial Bee Colony Optimize Hermite Basis Functions for EEG Signals. - Sachin Taran; Varun Bajaj (IEEE Trans. Instrum. Meas., 2020)

A self-learned decomposition and classification model for schizophrenia diagnosis. - Smith K. Khare; Varun Bajaj (Comput. Methods Programs Biomed., 2021)

Class label altering fuzzy min-max network and its application to histopathology image database. - Santhos A. Kumar; Anil Kumar 001; Varun Bajaj; Girish Kumar Singh 002 (Expert Syst. Appl., 2021)

A new technique for guided filter based image denoising using modified cuckoo search optimization. - Himanshu Singh 001; Sethu Venkata Raghavendra Kommuri; Anil Kumar 001; Varun Bajaj (Expert Syst. Appl., 2021)

SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals. - Smith K. Khare; Varun Bajaj; U. Rajendra Acharya (IEEE Trans. Instrum. Meas., 2021)

Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition. - Smith K. Khare; Varun Bajaj (IEEE Trans. Neural Networks Learn. Syst., 2021)

A hybrid decision support system for automatic detection of Schizophrenia using EEG signals. - Smith K. Khare; Varun Bajaj (Comput. Biol. Medicine, 2022)

Multipurpose medical image watermarking for effective security solutions. - Rishi Sinhal; Sachin Sharma; Irshad Ahmad Ansari; Varun Bajaj (Multim. Tools Appl., 2022)

OSACN-Net: Automated Classification of Sleep Apnea Using Deep Learning Model and Smoothed Gabor Spectrograms of ECG Signal. - Kapil Gupta 002; Varun Bajaj; Irshad Ahmad Ansari (IEEE Trans. Instrum. Meas., 2022)

VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection. - Smith K. Khare; Nikhil B. Gaikwad; Varun Bajaj (IEEE Trans. Instrum. Meas., 2022)

New Features for the Detection of Fetal QRS Complexes in Non-Invasive Fetal Electrocardiograms. - Nithin Lakshmisha; Aman Butoliya; Varun Bajaj; Vikram M. Gadre; Soumyo Mukherji (EMBC, 2023)

Deep learning models-based CT-scan image classification for automated screening of COVID-19. - Kapil Gupta 002; Varun Bajaj (Biomed. Signal Process. Control., 2023)

CRCCN-Net: Automated framework for classification of colorectal tissue using histopathological images. - Anurodh Kumar; Amit Vishwakarma; Varun Bajaj (Biomed. Signal Process. Control., 2023)

A support system for automatic classification of hypertension using BCG signals. - Kapil Gupta 002; Varun Bajaj; Irshad Ahmad Ansari (Expert Syst. Appl., 2023)

Integrated S-Transform-Based Learning System for Detection of Arrhythmic Fetus. - Kapil Gupta 002; Varun Bajaj; Irshad Ahmad Ansari (IEEE Trans. Instrum. Meas., 2023)

Automatic modulation classification using bimodal parallel multichannel deep learning framework for spatial multiplexing MIMO system. - Nakul K. Pathak; Varun Bajaj (Phys. Commun., 2023)

Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals. - Smith K. Khare; Varun Bajaj; Nikhil B. Gaikwad; Ganesh Ram Sinha (Sensors, 2023)

A unique hybrid domain hand-crafted feature to classify colorectal tissue histopathological images using multiheaded CNN. - Anurodh Kumar; Amit Vishwakarma; Varun Bajaj (Turkish J. Electr. Eng. Comput. Sci., 2023)

Sleep Stage Classification Using EEG Signals: A Empirical Wavelet Transform-Based Decomposition Approach. - Rajveer Singh Lalawat; Varun Bajaj; Prabin Kumar Padhy (ICARCV, 2024)

ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images. - Anurodh Kumar; Amit Vishwakarma; Varun Bajaj (Comput. Methods Programs Biomed., 2024)

Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN. - Anurodh Kumar; Amit Vishwakarma; Varun Bajaj; Shivam Mishra (IEEE Trans. Instrum. Meas., 2024)

Multi-headed CNN for colon cancer classification using histopathological images with tikhonov-based unsharp masking. - Anurodh Kumar; Amit Vishwakarma; Varun Bajaj (Multim. Tools Appl., 2024)

Multi-model deep learning system for screening human monkeypox using skin images. - Kapil Gupta 002; Varun Bajaj; Deepak Kumar Jain 001; Amir Hussain 001 (Expert Syst. J. Knowl. Eng., 2024)