Patent:
P1) Neeraj Baghel, Malay Kishore Dutta “Automatic Detection of Lungs Disease using Machine Learning from Respiratory Sound” Application number: 202011009043 (Submitted:03.03.2020, Published:10.09.2021), Status: Published.
Journal:
J9) Neeraj Baghel, Shiv Ram Dubey, and Satish Kumar Singh. "UpAttTrans: Upscaled Attention Based Transformer for Facial Image Super-Resolution" Image and Vision Computing (2025). [Link].
J8) Neeraj Baghel, Shiv Ram Dubey, and Satish Kumar Singh. "PTSR: Patch Translator for Image Super-Resolution." Pattern Recognition Letters, (2025) [Q2-SCI-3.3].[Link] [PDF].
J7) Chandrasen Pandey, Neeraj Baghel, Rinki Gupta & Malay Kishore Dutta, “Nocturnal sleep sounds classification with artificial neural network for sleep monitoring”, Multimedia Tools and Applications (2024). [Q2-SCI-3.6]. [Link], [PDF]
J6) Neeraj Baghel, Malay Kishore Dutta, Radim Burget, “1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals”, Biomedical Signal Processing and Control (2022). [Q2-SCI-5.1]. [Link], [PDF]
J5) Neeraj Baghel, Upendra Verma, Kapil Kumar Nagwanshi “WBCs-Net: Type Identification of white blood cells using Convolutional Neural Network” Multimedia Tools and Applications (2022). [Q2-SCI-3.6]. [Link], [PDF]
J4) Neeraj Baghel, Vivek Nangia, Malay Kishore Dutta, “ALSDNET: Automatic Lungs Sound Diagnosis Network from Pulmonary Signals” Neural Computing and Applications (2021). [Q1-SCI-6]. [Link], [PDF]
J3) Manoj Kaushik, Neeraj Baghel, Malay Kishore Dutta, Radim Burget, “SLINet: Dysphasia Detection in Children using Deep Neural Network “Biomedical Signal Processing and Control, Elsevier (2021) [Q2-SCI-5.1] [Link], [PDF]
J2) Chandrasen Panday, Neeraj Baghel, Malay Kishore Dutta, Ashish Srivastava, Nandlal Choudhary, “Machine learning approach for automatic diagnosis of Chlorosis in Vigna mungo leaves”, Multimedia Tools and Applications, Springer (2021), Volume 80, pages 13407–13427. [Q2-SCI-3.6]. [Link], [PDF]
J1) Neeraj Baghel, Malay Kishore Dutta, Radim Burget, “Automatic Diagnosis of Multi-Cardiovascular Diseases from PCG Signals using Deep Convolutional Neural Network”, Computer Methods and Programs in Biomedicine, Elsevier (2020) [Q1-SCI-7.027].[Link], [PDF]
Conferences:
C14) Vikram Gupta, Sandeep Deshmukh, and , Neeraj Baghel, "V2C-GAN: Variational Autoencoder Enhanced CycleGAN for MRI-to-CT Image Translation", 10th International Conference on Computer Vision and Image Processing (CVIP2025).
C13)Ujwal kumar, Amrish, Neeraj Baghel, "An Optimized Convolutional Neural Network Model for Real-Time Object Detection in Drones",IEEE International Conference on Artificial Intelligence and Machine Vision(AIMV)-2025.
C12)Neeraj Baghel, Amritesh Anand, Ajay Vikram Singh, "Complex Pattern Analysis in Robotic Surgery through Deep Learning", IEEE International Conference on Artificial Intelligence and Machine Vision(AIMV)-2025.
C11)Sourav Gangopadhyay, Neeraj Baghel, Susmi Biswas, Jayeeta Majumder, Krishan Kumar Garg, Jagendra Singh, "Positioning of Machine Learning based Cosmic Intelligence in Stellar Spacecraft Operations", IEEE International Conference on Artificial Intelligence and Machine Vision(AIMV)-2025.
C10)Sourav Gangopadhyay, Neeraj Baghel, Susmi Biswas, Jayeeta Majumder, Krishan Kumar Garg, Jagendra Singh, "Adaptive Meta-Learning Framework for Real-Time Personalization in Rapidly Evolving Consumer Preference Environments", International Conference on Emerging Smart Technology for Sustainable Development (ESTSD-2025).
C9)Sourav Gangopadhyay, Neeraj Baghel, Susmi Biswas, Jayeeta Majumder, Krishan Kumar Garg, Jagendra Singh, "A Reinforcement Learning Approach to Dynamic Pricing Optimization Based on Real-Time Consumer Engagement", International Conference on Emerging Smart Technology for Sustainable Development (ESTSD-2025).
C8) Nikhil Kumar, Chirag Verma, Manasvi Gaur and Neeraj Baghel "ZRENet: Enhancement of Low Light Night Images to Day Images", International Conference on Next Generation Information System Engineering (NGISE-2025).
C7) Neeraj Baghel, Shiv Ram Dubey. "SRVT: Image Super-Resolution using GAN-based Vision Transformer", 3rd International Conference on Disruptive Technologies (ICDT-2025). [Scopus]. [Link], [PDF].
C6) Neeraj Baghel, Shiv Ram Dubey, and Satish Kumar Singh. "SRTransGAN: Image Super-Resolution using Transformer-based Generative Adversarial Network." 9th International Conference on Computer Vision and Image Processing (CVIP2024). [Scopus]. [Link], [PDF].
C5) Chandrasen Pandey, Neeraj Baghel, Malay Kishore Dutta, Carlos M. Travieso-González, “Automatic Diagnoses of Lower Back Pain using Gait Patterns”, 8th International Work Conference on Bio-inspired Intelligence (IWOBI 2020), Springer, [Scopus]. [Link], [PDF]
C4) Neeraj Baghel, Divyanshu Singh, Malay Kishore Dutta, Radim Burget, Vojtech Myska,” Truth Identification from EEG Signal by using Convolution neural network: Lie Detection”, 43rd International Conference on Telecommunications and Signal Processing (TSP2020) Italy, IEEE, [Scopus]. [Link], [PDF]
C3) Dilip Sharma, Neeraj Baghel, Siddhant Agarwal “Multiple Degree Authentication in Sensible Homes based on IoT Device Vulnerability”. International Conference on Power Electronics & IoT Applications in Renewable Energy and Its Control (PARC 2020), IEEE, [Scopus]. [Link], [PDF]
C2) Ronak Agrawal, Neeraj Baghel, Aamir Khan “Load Balancing in Cloud Computing using Mutation Based Particle Swarm Optimization”, International Conference on Contemporary Computing and Applications (IC3A 2020), IEEE, [Scopus]. [Link], [PDF].
C1) Alpna Singh, Aamir Khan, Neeraj Baghel, “Face Emotion Identification by Fusing Neural Network and Texture Features: Facial Expression”, International Conference on Contemporary Computing and Applications (IC3A 2020), IEEE, [Scopus]. [Link], [PDF].
Arxiv:
A1) Neeraj Baghel, Suresh C. Raikwar, Charul Bhatnagar “Image Conditioned Key Frame-Based Video Summarization Using Object Detection”, [Link],