Automated Classification of Snoring and Non-Snoring Sound Signals Based on Singular Superlet Transform Dhanhanjay Pachori, Kamal Raj, Tapan Kumar Jain International Conference on Signal Processing and Communication ICSC, 2025 This paper proposes a new method for automated classification of snoring and non-snoring sound signals. The snoring and non-snoring sound signals have been represented using time-frequency representations (TFRs) obtained from singular superlet transform (SST). The obtained TFRs have been given as an input to various machine learning based classifiers, like convolutional neural network (CNN), visual geometry group 16-layer network (VGG-16), EfficientNet-B0, and hybrid VGG-16 models for the classification of snoring and non-snoring sound signals. From the experimental study, it has been observed that the hybrid VGG-16 with support vector machine (SVM) model has provided best performance among all the studied models with an accuracy, specificity, sensitivity, F1-score, and Matthews correlation coefficient (MCC) of 96.00%, 95.60%, 96.40%, 0.9602, 95.63%, and 0.9200 respectively. The good performance measures in automated classification of snoring and non-snoring sound signals show the effectiveness of the proposed method. The proposed method finds applications in the area of sleep disorder diagnosis and it is suitable for real-time implementation.
Automated Snoring Detection System Using Synchrosqueezed Wavelet Transform Dhanhanjay Pachori, Ardhish Kunal Patel, Tapan Kumar Jain International Conference on Signal Processing and Communication ICSC, 2025 This paper presents a new approach for the recognition of snoring audio signals by applying advanced signal processing method, synchrosqueezed wavelet transform (SWT) and various machine learning classifiers such as VGG19, ResNet50, MobileNetV3, MobileNetV1, EfficientNetB7, DenseNet121, Xception, MobileNetV2, GoogleNet, and InceptionV3. Initially, the audio signals are preprocessed and further time-frequency representations (TFRs) have been obtained with the help of SWT. The obtained TFRs are then inputted into the machine learning classifiers to classifiy the snoring and non-snoring audio signals. Performance metrics in terms of accuracy, specificity, sensitivity, F1-score, and Matthews correlation coefficient (MCC) are computed. Highest accuracy of 96.5% is obtained by using the classifiers, VGG19 and ResNet50. This proposed methodology is suitable for real-time detection of snoring and can be used for diagnosis of sleep disorders such as sleep apnea.
Comparison of Filtering Techniques for Transfer Alignment of Air-Launched Tactical Guided Weapons Sambhav Kumar Jain, Tapan K. Jain, Srikant Srivastava, Saumya Shanker Defence Science Journal, 2024 The transfer alignment technique is very useful for the accurate initialization and calibration of gyroscopes and accelerometers of INS for air-launched tactical guided weapon systems. In the present war scenario, the initialization of INS should be accurate and rapid to launch the tactical weapon against air or land targets within the shortest available time. A lot of development has been carried out by researchers for INS transfer alignment in the field of state estimation. The study and method presented in the research are relevant to aerial launch vehicles. However, to meet present guidance requirements within less time for initializing weapons, more appropriate transfer alignment algorithms are needed. This paper discusses the relative performance of Kalman Filter (KF), Extended KF, and Unscented KF for aligning the weapon INS using the data from Master INS. New developments, limitations, applicability, and design methods for the Kalman filters, became a key component in the transfer alignment of air-launched tactical missiles. These methodologies are extensively utilized in Navigation and Control systems; therefore, this research work will be an informative and perfect guide to existing and potential readers.
Detection of Atrial Fibrillation from PPG Sensor Data Using Variational Mode Decomposition Dhanhanjay Pachori, Rajesh Kumar Tripathy, Tapan Kumar Jain IEEE Sensors Letters, 2024 Atrial fibrillation (AF) is one of the most common arrhythmia. AF can be a reason for strokes and damage to heart activities. The electrocardiogram (ECG) is commonly used for AF detection. It should be noted that the burst AF does not show any symptoms and is difficult to detect using ECG. As an alternative to ECG, photoplethysmography (PPG) is used for AF diagnosis, which is easy to record and suitable for long-term monitoring. This letter proposes a new classification framework for automated AF detection based on variational mode decomposition (VMD). The proposed framework has been studied on a publicly available dataset. The proposed VMD-based classification framework outperformed other state-of-the-art methods used for AF detection and achieved the highest accuracy of 99.08% using ten-fold cross-validation. The results of the proposed methodology have shown significant improvement, and the developed sensor-based system has proved suitability to real-time clinical practices.
IoT Security and Privacy Jitendra V. Tembhurne, Tausif Diwan, Tapan Kumar Jain Internet of Things, 2024
Blind Synthetic Image Quality Assessment Using EfficientNet-V2 International Journal of Intelligent Systems and Applications in Engineering, 2024
Relay Selection in SWIPT-enabled Cooperative Networks Vaijayanti Panse, Tapan Kumar Jain, Ashwin Kothari Proceedings of Pcems 2022 1st International Conference on the Paradigm Shifts in Communication Embedded Systems Machine Learning and Signal Processing, 2022
MCWT-NR-IQA: modified channel weight Taylored regression model for no-reference image quality assessment Yogita Gabhane Langde, Tapan Kumar Jain, Vipin Kamble Journal of Modern Optics 72 (https://doi.org/10.1080/09500340.2025.25), 1-24 , 2025 2025
Blind image quality assessment using Beltrami filter-based contrast features (BF-bCF) & LSTM network Y Gabhane, TK Jain, V Kamble The Imaging Science Journal 73 (4), 443-457 , 2025 2025
Automated Snoring Detection System Using Synchrosqueezed Wavelet Transform D Pachori, AK Patel, TK Jain 2025 10th International Conference on Signal Processing and Communication … , 2025 2025 Citations: 2
Automated Classification of Snoring and Non-Snoring Sound Signals Based on Singular Superlet Transform D Pachori, K Raj, TK Jain 2025 10th International Conference on Signal Processing and Communication … , 2025 2025 Citations: 3
A journey of terahertz communication: An IRS integration perspective P Langde, TK Jain, MR Parate, SK Singh Physical Communication 68, 102572 , 2025 2025 Citations: 9
Performance Analysis of Holographic Surface Assisted Downlink NOMA with User Mobility P Langde, TK Jain, M Parate, SK Singh 2024 Second International Conference on Microwave, Antenna and Communication … , 2024 2024
Comparison of Filtering Techniques for Transfer Alignment of Air Launched Tactical Guided Weapons SS Sambhav Kumar Jain, Tapan K. Jain, Saumya Shanker Defence Science Journal 74 (4), 560-566 , 2024 2024 Citations: 2
Detection of atrial fibrillation from PPG sensor data using variational mode decomposition D Pachori, RK Tripathy, TK Jain IEEE Sensors Letters 8 (3), 1-4 , 2024 2024 Citations: 27
Introduction to cardiovascular signals and automated systems D Pachori, S Dash, RK Tripathy, TK Jain Signal Processing Driven Machine Learning Techniques for Cardiovascular Data … , 2024 2024 Citations: 3
Internet of everything: Applications R Wajgi, JV Tembhurne, D Wajgi, T Jain Modern Approaches in IoT and Machine Learning for Cyber Security: Latest … , 2023 2023 Citations: 5
IoT Security and Privacy JV Tembhurne, T Diwan, TK Jain Modern Approaches in IoT and Machine Learning for Cyber Security: Latest … , 2023 2023 Citations: 3
Communication in IoT Devices D Wajgi, JV Tembhurne, R Wajgi, T Jain Modern Approaches in IoT and Machine Learning for Cyber Security: Latest … , 2023 2023 Citations: 5
Deep Learning for IoT T Diwan, JV Tembhurne, TK Jain, P Jain Modern Approaches in IoT and Machine Learning for Cyber Security: Latest … , 2023 2023
Artificial intelligence and machine learning with IoT SW Shende, JV Tembhurne, TK Jain Modern approaches in iot and machine learning for cyber security: latest … , 2023 2023 Citations: 5
IoT Design Methodology: Architectures and Protocols A Pathak, JV Tembhurne, C Kalaiarasan, T Jain Modern Approaches in IoT and Machine Learning for Cyber Security: Latest … , 2023 2023 Citations: 1
Blind Synthetic Image Quality Assessment Using EfficientNet-V2 Gabhane International Journal of Intelligent Systems and Applications in Engineering … , 2023 2023
Full-duplex cooperative relaying with non-linear energy harvesting for vehicular communication V Panse, TK Jain Journal of Communications and Information Networks 8 (4), 369-377 , 2023 2023 Citations: 1
Wideband Antennas of Passive Seekers for Anti Radiation Missiles MC Amit Gupta, Tapan Jain, Ashwin Kothari Defence Science Journal 74 (01), 143-157 , 2023 2023 Citations: 2
Framework for detecting toxic speech using bert and deep learning A Barai, P Jain, T Kumar International Symposium on Frontiers of Research in Speech and Music, 3-17 , 2023 2023 Citations: 2
Rapid and Accurate INS Transfer Alignment for Air Launched Tactical Missile Using Kalman Filter SS Sambhav Kumar Jain, Tapan K. Jain, Saumya Shanker Defence Science Journal 73 (4), 496-502 , 2023 2023 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
Vector representation of words for sentiment analysis using GloVe Y Sharma, G Agrawal, P Jain, T Kumar 2017 international conference on intelligent communication and computational … , 2017 2017 Citations: 73
Lifetime optimization of a multiple sink wireless sensor network through energy balancing TK Jain, DS Saini, SV Bhooshan journal of Sensors 2015 (1), 921250 , 2015 2015 Citations: 67
Cluster Head Selection in a Homogeneous Wireless Sensor Network Ensuring Full Connectivity with Minimum Isolated Nodes TK Jain, DS Saini, SV Bhooshan Journal of Sensors 2014 , 2014 2014 Citations: 51
Inventory control of multiple perishable goods using deep reinforcement learning for sustainable environment M Selukar, P Jain, T Kumar Sustainable Energy Technologies and Assessments 52, 102038 , 2022 2022 Citations: 46
Digital self-interference cancellation in the era of machine learning: A comprehensive review V Panse, TK Jain, PK Sharma, A Kothari Physical Communication 50, 101526 , 2022 2022 Citations: 39
Detection of atrial fibrillation from PPG sensor data using variational mode decomposition D Pachori, RK Tripathy, TK Jain IEEE Sensors Letters 8 (3), 1-4 , 2024 2024 Citations: 27
Robust digital watermarking for coloured images using SVD and DWT technique P Sharma, T Jain 2014 IEEE International Advance Computing Conference (IACC), 1024-1027 , 2014 2014 Citations: 25
Hypex: A Tool for Extracting Business Intelligence from Sentiment Analysis using Enhanced LSTM S Ilayaraja, R Himani, J Pooja, J Tapan Multimedia Tools and Applications , 2020 2020 Citations: 23
Design Constraint in Single-hop and Multi-hop Wireless Sensor Network Using Different Network Model Architecture AK Singh, S Rajoriya, S Nikhil, TK Jain 2015 Citations: 22
Hadoop distributed computing clusters for fault prediction J Pinto, P Jain, T Kumar 2016 International Computer Science and Engineering Conference (ICSEC), 1-6 , 2016 2016 Citations: 19
Increasing lifetime of a wireless sensor network using multiple sinks TK Jain, DS Saini, SV Bhooshan 2014 11th International Conference on Information Technology: New … , 2014 2014 Citations: 16
Wireless environmental monitoring system (WEMS) using data aggregation in a bidirectional hybrid protocol T Jain International Conference on Information Systems, Technology and Management … , 2012 2012 Citations: 16
Real time video summarizing using image semantic segmentation for CBVR R Jain, P Jain, T Kumar, G Dhiman Journal of Real-Time Image Processing 18 (5), 1827-1836 , 2021 2021 Citations: 14
An effective depression diagnostic system using speech signal analysis through deep learning methods A Verma, P Jain, T Kumar International Journal on Artificial Intelligence Tools 32 (02), 2340004 , 2023 2023 Citations: 10
A journey of terahertz communication: An IRS integration perspective P Langde, TK Jain, MR Parate, SK Singh Physical Communication 68, 102572 , 2025 2025 Citations: 9
A device for effective weed removal for smart agriculture using convolutional neural network M Selukar, P Jain, T Kumar International Journal of System Assurance Engineering and Management 13 … , 2022 2022 Citations: 9
Performance analysis of hierarchical agglomerative clustering in a wireless sensor network using quantitative data TK Jain, DS Saini, SV Bhooshan 2014 international conference on information systems and computer networks … , 2014 2014 Citations: 9
Relay Selection in SWIPT-enabled Cooperative Networks V Panse, TK Jain, A Kothari 2022 1st International Conference on the Paradigm Shifts in Communication … , 2022 2022 Citations: 8
NSE Stock prediction: the deep learning way AK Barai, P Jain, T Kumar Soft Computing: Theories and Applications: Proceedings of SoCTA 2019, 783-791 , 2020 2020 Citations: 8
Relay selection and nonlinear energy harvesting in full-duplex multi-relay cooperative network V Panse, PK Sharma, TK Jain, A Kothari Physical Communication 56, 101946 , 2023 2023 Citations: 7
GRANT DETAILS
One Funded Project from DRDO
Industry, Institute, or Organisation Collaboration
MoU: TCS Innovation Lab
INDUSTRY EXPERIENCE
Four years:
2005-2007, KLA Tencor India Private Limited.
2007-2009, CRMnext, Acidaes Solutions Private Limited.