Journal Publications
[26] S. Khare et al., SchizoNET: a robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals, in Physiological Measurement. SCIE Q1 2.68
[25] Smith K. Khare, N. Gaikwad, and V Bajaj, "VHERS: A novel Variational Mode Decomposition and Hilbert Transform based EEG rhythm separation for automatic ADHD detection " in EEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2022.3204076 SCI 5.332 Q1
[24] Smith K. Khare, V. Bajaj, "A hybrid decision support system for automatic detection of Schizophrenia using EEG signals," in Computers in Biology and Medicine, 2022, 4.589 SCI Q1
[23] Smith K. Khare, Varun Bajaj, “A Self-Learned Decomposition and Classification Model for Schizophrenia Diagnosis,” in Computer Methods and Programs in Biomedicine, vol. 211, 106450, 2021, 5.428, SCI, Q1
[22] Smith K. Khare, V. Bajaj and U. R. Acharya, PDCNNet: An automatic framework for the detection of Parkinson’s Disease using EEG signals, in IEEE Sensors Journal, 2021, 3.301 SCI Q1
[21] S. Sharma, Smith K. Khare, V. Bajaj, I. A. Ansari, Improving the separability of drowsiness and alert EEG signals using analytic form of wavelet transform, in Applied Acoustics, 2021, 2.639 SCIE Q1
[20] Smith K. Khare, V. Bajaj, U. R. Acharya, Detection of Parkinson’s disease using automated tunable Q wavelet transform technique with EEG signals, in Biocybernetics and Biomedical Engineering, 2021,4.314 SCIE Q2
[19] S. K. Khare, V. Bajaj and U. Rajendra Acharya, "SPWVD-CNN for automated detection of Schizophrenia patients using EEG signals," in IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2021.3070608. 4.016 SCI Q1
[18] Smith K. Khare, and Varun Bajaj. 2021. Time-Frequency Representation And Convolutional Neural Network-Based Emotion Recognition. IEEE Transactions On Neural Networks And Learning Systems, 1-9. doi:10.1109/tnnls.2020.3008938. 10.451 SCI Q1
[17] Smith K. Khare, Varun Bajaj 2020. Optimized Tunable Q Wavelet Transform Based Drowsiness Detection From Electroencephalogram Signals. IRBM. doi:10.1016/j.irbm.2020.07.005. 1.856 SCIE Q3
[16] Smith K. Khare, Varun Bajaj Entropy-based Drowsiness Detection using Adaptive Variational Mode Decomposition IEEE Sensors Journal, 21, 5, March 1, 1 2021 pp. 6421-6428 DOI: 10.1109/JSEN.2020.3038440, 3.301 SCI Q1
[15] Smith K. Khare, Varun Bajaj, and G. R. Sinha. 2020. Adaptive Tunable Q Wavelet Transform Based Emotion Identification. IEEE Transactions On Instrumentation And Measurement, 69, 12, Dec. 2020, pp 9609 - 9617 doi:10.1109/tim.2020.3006611. 4.016 SCI Q1
[14] Siuly Siuly, Smith K. Khare, Varun Bajaj, Hua Wang, and Yanchun Zhang. 2020. A Computerized Method For Automatic Detection Of Schizophrenia Using EEG Signals. IEEE Transactions On Neural Systems And Rehabilitation Engineering, 28,11, 2390-2400, No 2020 doi:10.1109/tnsre.2020. 3022715. 3.802 SCI Q1
[13] Smith K. Khare, and Bajaj Varun 2020 An Evolutionary Optimized Variational Mode Decomposition for Emotion Recognition, IEEE Sensors Journal, 21(2), 2035-2042, 2020 doi: 10.1109/JSEN.2020.3020915. 3.301 SCI Q1
[12] Smith K. Khare, Nishad Anurag, Upadhyay Abhay, Varun Bajaj 2020. Classification of emotions from EEG signals using time-order representation based on the S-transform and convolutional neural network, Electronics Letters, Vol. 56 No. 25 pp. 1370–1372, DOI: 10.1049/el.2020.2380, 1.314 SCI Q2
[11] M Murugappan, W Alshuaib, AK Bourisly, SK Khare, S Sruthi, Varun Bajaj (2020) Tunable Q wavelet transform based emotion classification in Parkinsons disease using Electroencephalography. PLoS ONE 15(11): e0242014. https://doi.org/ 10.1371/journal.pone.0242014, 3.240, SCIE, Q1
[10] Smith K Khare, Varun Bajaj 2020. A facile and flexible motor imagery classification using electroencephalogram signals, Computer Methods and Programs in Biomedicine, Volume 197, 105722, 5.428 SCI Q1
[9] Silvia Liberata Ullo, Smith K. Khare, Varun Bajaj, and G. R. Sinha. 2020. Hybrid Computerized Method For Environmental Sound Classification. IEEE Access 8: 124055-124065. doi:10.1109/access.2020.3006082. 3.367 SCI Q1
[8] Smith K. Khare, and Varun Bajaj. 2020. Constrained Based Tunable Q Wavelet Transform For Efficient Decomposition Of EEG Signals. Applied Acoustics 163: 107234. doi:10.1016/j.apacoust.2020. 107234. 2.639 SCIE Q1
[7] Varun Bajaj, Sachin Taran, Smith K. Khare, and Abdulkadir Sengur. 2020. Feature Extraction Method For Classification Of Alertness And Drowsiness States EEG Signals. Applied Acoustics 163: 107224. doi:10.1016/j.apacoust.2020.107224. 2.639 SCIE Q1
[6] Smith K. Khare, Fast-track message authentication protocol for DSRC using HMAC and group keys, Applied Acoustics, Volume 165, 2020, 107331, ISSN 0003-682X, https://doi.org/10.1016/j.apacoust.2020.107331. 2.639 SCIE Q1
[5] Shubhrant Jibhkate, Smith Khare, Ashwin Kamble Amutha, Jeyakumar, Aodv and Olsr Based Routing Algorithm for Highway and City Scenarios, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 6, 275-280, 2015, DOI 10.17148/IJARCCE.2015.4660.
[4] Shubhrant Jibhkate, Smith Khare, Ashwin Kamble Amutha, Jeyakumar, Advanced Adaptive Routing Algorithm for Highway and City Scenarios in VANET, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 3, Issue 3, 2325-2331, March 2015, 10.15680/ijircce.2015.0303131.
[3] Ashwin Kamble, Smith Khare, Shubhrant Jibhkate, Amutha Jeyakumar, Energy and Traffic Aware Vertical Handoff in Heterogeneous Wireless Network, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 6, 281-287, 2015, DOI 10.17148/IJARCCE.2015.4661.
[2] Ashwin Kamble, Smith Khare, Shubhrant Jibhkate, Amutha Jeyakumar, Efficient Vertical Handoff in Heterogeneous Wireless Network, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 3, Issue 5, May 2015, 4095-4102, DOI: 10.15680/ijircce.2015.0305099.
[1] Smith Khare, and Amutha Jeyakumar, HMAC and Group Key Combination based Accelerated Message Authentication for Dedicated Short Range Communication in VANET, IJCCSE, vol 2, issue 06, Dec 2015.
Book Chapters
Elsevier = 2 CRC Taylor & Francis = 2 IoP Science = 4 (Publisher- wise) 2022=2, 2021=4, 2020=2
[8] Smith K. Khare, V. Bajaj, A. Sengur, and G. R. Sinha, Classification of Mental States from Rational Dilation Wavelet Transform and Bagged Tree Classifier using EEG signals, in Artificial Intelligence-Based Brain-Computer Interface, Elsevier, 2022
[7] Smith K. Khare, V. Bajaj, S. Taran, and G. R. Sinha, Multi-class Sleep Stage Classification using Aritificial Intelligence based Time-frequency distribution and CNN, in Artificial Intelligence-Based Brain-Computer Interface, Elsevier, 2022
[6 ] K. Gupta, Smith K. Khare, V. Bajaj, I. A. Ansari, Automatic detection of hypertension by flexible analytic wavelet transform using electrocardiogram signals, High Performance Computing for Intelligent Medical Systems, IoP Science 2021.
[5] Sachin Taran, Smith K. Khare, Ravi, Varun Bajaj, and G. R. Sinha, Classification of Alertness and Drowsiness States using the Complex Wavelet Transform based Approach for EEG Records Analysis of medical modalities for improved diagnosis in modern healthcare (Accepted) CRC Taylor & Francis 2021
[4] M Murugappan, Smith K. Khare, Waleed Alshuaib, Ali K Bourisly, Varun Bajaj, G. R. Sinha, Electroencephalogram Signals based Emotion Classification in Parkinson’s Disease using Recurrence Quantification Analysis and Nonlinear Classifiers, Computer-aided Design and Diagnosis Methods for Biomedical Applications, CRC Taylor & Francis 2021
[3] Sachin Taran, Smith K. Khare, Varun Bajaj, and G. R. Sinha, Classification of Motor-Imagery Tasks from EEG Signals using Rational Dilation Wavelet Transform, Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-2 2021
[2] Smith K. Khare, Varun Bajaj, Siuly Siuly, G R Sinha Classification of schizophrenia patients through empirical wavelet transformation using electroencephalogram signals, Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-1 2020; 1.1-1.26 doi:10.1088/978-0- 7503-3279-8ch1.
[1] Smith K Khare, Varun Bajaj, GR Sinha, Automatic drowsiness detection based on variational non-linear chirp mode decomposition using electroencephalogram signals, Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-1 2020; 5.1-5.25 doi:10.1088/978-0-7503- 3279-8ch5.
Conference Publications
[6] P McLachlan, S Khare, D Grombacher, J Larsen, A Christiensen, JC Zamora Luria, “On The Presence of Correlated Noise in Transient Electromagnetic (TEM) Monitoring Data,” in NSG2022 28th European Meeting of Environmental and Engineering Geophysics, (EAGE 2022), pp 1-5.
[5] N. Gaikwad, Smith K. Khare, A. Keskar, “Hardware Implementation of High-performance Classifiers for Edge Gateway of Smart Automobile,” in International Conference on the Paradigm shifts in Communication, Embedded Systems, Machine Learning and Signal Processing, (PCEMS 2022).
[4] Smith K. Khare, and V Bajaj, “A CACDSS for automatic detection of Parkinson’s disease using EEG signals,” in IEEE Conference on Control, Automation, Power, and Signal Processing (2021).
[3] Afshan Mulla, Jaypal Baviskar, Smith Khare and Faruk Kazi, "The wireless technologies for Smart Grid Communication: A Review" in 5th IEEE International Conference on Communication Systems and Network Technologies (CSNT-2015).
[2] Smith Khare, Shubhrant Jibhkate, Ashwin Kamble and Amutha Jeyakumar "Advanced Message Authentication Acceleration Protocol for VANET" in IEEE International Conference on Knowledge Collaboration in Engineering (ICKCE) March 2015.
[1] Smith Khare and Nikhil Gaikwar, "Automatic and Economical Rotating LED Display Control System without Dedicated Motor" in IEEE International Conference on Knowledge Collaboration in Engineering (ICKCE) March 2015