Publications
Acronym: A - Archive, P - Patent, J - Journal, C - Conference.
Year 2023
A3) Neeraj Baghel, Shiv Ram Dubey, and Satish Kumar Singh. "PTSR: Patch Translator for Image Super-Resolution." arXiv (2023). [LInk],
A2) Neeraj Baghel, Shiv Ram Dubey, and Satish Kumar Singh. "SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network." arXiv (2023). [Link],
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 (2021). [Q2-SCI-3.6]. [Link], [PDF]
Year 2022
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 (2021). [Q2-SCI-3.6]. [Link], [PDF]
Year 2021
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.
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), [Q2-SCI-3.6]. [Link], [PDF]
Year 2020
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]
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]
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]
A1) Neeraj Baghel, Suresh C. Raikwar, Charul Bhatnagar “Image Conditioned Key frame-Based Video Summarization Using Object Detection”, arxiv (2020) [Link],