Prakash Choudhary

Journal Publications:

• Prakash Choudhary and Neeta Nain. A Four-Tier Annotated Urdu Handwritten Text Image Dataset for Multidisciplinary Research on Urdu Script. ACM Transactions on Asian and Low-Resource Language Information Processing. ACM. 2016. (SCIE, Impact Factor 1.8)
• Prakash Choudhary and Manish Kurhekar. A Revamp Approach for Training of HMM to Accelerate Classification of 16S rRNA Gene Sequences. Transaction on Computational Science. Springer. 2018
• Sanasam Inunganbi and Prakash Choudhary. Recognition of Handwritten Meitei Mayek Script Based on Texture Feature. International Journal on Natural Language Computing (IJNLC). 2018.
• Prakash Choudhary and Neeta Nain. CALAM: model-based compilation and linguistic statistical analysis of Urdu corpus, Sadhana, Springer, 2020. (SCIE, Impact Factor 1.4)
• PK Bhagat and Prakash Choudhary. Image Annotation: Then and Now. Image and Vision Computing. Elsevier. 2018. (SCIE, Impact Factor 4.2)
• Sanasam Inunganbi, Prakash Choudhary and Kh Manglem Singh. Local texture descriptors and projection histogram based handwritten Meitei Mayek character recognition. Multimedia Tools and Application. Springer. 2020. (SCIE, Impact Factor 3.0)
• Prakash Choudhary and Abhishek Hazra. Chest disease radiography in twofold: using convolutional neural networks and transfer learning. Evolving Systems. Springer. 2020. (SCIE, Impact Factor 2.37)
• Abhishek Hazra, Prakash Choudhary, Sanasam Inunganbi and Mainak Adhikari. Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network. Applied Intelligence. Springer. 2021. (SCIE, Impact Factor 5.01)
• Sanasam Inunganbi, Prakash Choudhary and Khumanthem Manglem. Meitei Mayek handwritten dataset: compilation, segmentation, and character recognition. Visual Computer, Springer, 2021.  (SCIE, Impact Factor 3.0)
• Sanasam Inunganbi Prakash Choudhary and Khumanthem Manglem. Handwritten Meitei Mayek recognition using three channel convolution neural network of gradients and gray. Computational Intelligence. Wiley. 2020.  (SCIE, Impact Factor 2.2)
• Inunganbi Sanasam, Prakash Choudhary and Khumanthem Manglem Singh. Line and word segmentation of handwritten text document by mid-point detection and gap trailing, Multimedia Tools and Application. Springer. 2020. (SCIE, Impact Factor 3.0)
• P. K. Bhagat, Prakash Choudhary and Kh. Manglem Singh. A novel approach based on fully connected weighted bipartite graph for zero-shot learning problems. Journal of Ambient Intelligence and Humanized Computing. Springer. 2021. (SCIE, Impact Factor 3.7)
• Tarun Agrawal and Prakash Choudhary. FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images. Evolving Systems. Springer. 2021. (SCIE, Impact Factor 2.7)
• Tarun Agrawal and Prakash Choudhary. Segmentation and classification on chest radiography: a systematic survey. The Visual Computer. Springer. 2022. (SCIE, Impact Factor 2.86)
• Tarun Agrawal and Prakash Choudhary. EfficientUNet: Modified encoder‐decoder architecture for the lung segmentation in chest x‐ray images. Expert Systems. Wiley. 2022.  (SCIE, Impact Factor 3.3)
• PK Bhagat, Prakash Choudhary and Kh Manglem Singh. A study on zero-shot learning from semantic viewpoint. The Visual Computer. Springer. 2022.  (SCIE, Impact Factor 2.86)
• Kunwar Prashant and Prakash Choudhary. A Stacked Ensemble Model for Automatic Stroke Prediction Using Only Raw Electrocardiogram. Intelligent Systems with Applications. Elsevier. 2022. (Scopus)
• Tarun Agrawal and Prakash Choudhary. ALCNN: Attention based lightweight convolutional neural network for pneumothorax detection in chest x-rays. Biomedical Signal Processing and Control. Elsevier. 2022. (SCIE, Impact Factor 5.1)
• Kunwar Prashant, Prakash Choudhary, Tarun Agrawal, and Evam Kaushik. OWAE-Net: Covid-19 detection from ECG images using Deep Learning and Optimized Weighted Average Ensemble Technique. Intelligent Systems with Applications. Elsevier. 2022. (Scopus)
• Tarun Agarwal and Prakash Choudhary, ReSE-Net: Enhanced UNet architecture for lung segmentation in chest radiography images. Computational Intelligence. 2023. (SCIE, Impact Factor 2.14)
• Tarun Agarwal and Prakash Choudhary, COVID-SegNet: encoder–decoder-based architecture for COVID-19 lesion segmentation in chest X-ray. Multimedia Systems. 2023.  (SCIE, Impact Factor 3.9)
• Tarun Agrawal, Prakash Choudhary, Achyut Shankar, Prabhishek Singh, Manoj Diwakar. MultiFeNet: Multi-scale feature scaling in deep neural network for the brain tumor classification in MRI images. International Journal of Imaging Systems and Technology. 2023. (SCIE, Impact Factor 2.3)
• Prakash Choudhary and Sumit Chauhan. An Intelligent Chatbot Design and Implementation Model Using Long Short-Term Memory with Recurrent Neural Networks and Attention Mechanism. Decision Analytics Journal. Elsevier. 2023 (Scopus)
• Sourav Mondal, Prakash Choudhary and Priyanka Rathee. Detection of Cardiac Abnormalities from 12-Lead ECG Using Complex Wavelet Sub-Band Features. Biomedical Physics & Engineering Express.  IOP Publishing. 2024 (Scopus)
• M Sheetal Singh, Prakash Choudhary, Khelchandra Thongam, P K Bhagat. An integrated machine learning approach for Congestive Heart Failure prediction. Special Issue on "Artificial Intelligence in Medical Image Processing and Disease Diagnosis" under Diagnostics Journal. 2024. (SCIE, Impact Factor 3.7)
• Tarun Agrawal, Prakash Choudhary and Vijay Kumar. A Comparative Study of Brain Tumor Classification on Unbalanced Dataset using Deep Neural Networks. Biomedical Signal Processing and Control. Elsevier. 2024. (SCIE, Impact Factor 5.1)
• Saurabh, Prakash Choudhary, Priyanka and Tarun Agrawal. HCN: Hybrid capsule network for fetal plane classification in ultrasound images.  International Journal of Imaging Systems and Technology. Wiley. 2024. (SCIE, Impact Factor 2.3)

Book Chapters:

• PK Bhagat and Prakash Choudhary. Chapter Title - A comparative study for brain tumor detection in MRI images using texture features. Book Title- Sensors for Health Monitoring (Advances in ubiquitous sensing applications for healthcare). 2019. (Academic Press Inc, Elsevier)
• Prakash Choudhary and Sameer Mansuri. Chapter Title - Skin Lesion Classification by Using Deep Tree-CNN. Book Title- Artificial Intelligence Technologies for Computational Biology. 2022. (CRC Press Inc, Taylor and Francis)
• M Sheetal, Th. Khelchandra, Prakash Choudhary. Chapter Title- Congestive Heart Failure Prediction Using Artificial Intelligence, Book Title -Recent Advances in Electrical and Electronic Engineering. 2023. (Springer)

Conference Publications:

• Prakash Choudhary and Neeta Nain, An Annotated Urdu Corpus of Handwritten Text Image and Benchmarking of Corpus, 37th International ICT Convention MIPRO, University of Zagreb, Croatia, 26-30 May 2014. IEEE
• Prakash Choudhary and Neeta Nain, CALAM: Linguistic Structure to Annotate Handwritten Text Image Corpus International Conference on CIDM, Burla, Sambalpur, Odisha, 20-21 December 2014. Springer       
• Prakash Choudhary, Neeta Nain and Mushtaq Ahmed, A unified approach for the development of Urdu Corpus for OCR and demographic purpose, 7th International Conference on Machine Vision (ICMV 2014), Milan, Italy, November 19-21, 2014. SPIE
• Prakash Choudhary and Neeta Nain, Adaptive Semantics Web-Based Approach for E-Education Using the Static Annotated Corpus 2nd International Conference on Education Technologies and Computers (ICETC 2015), May 20-22, 2015. IEEE
• Prakash Choudhary, Neeta Nain and Mushtaq Ahmed, A Structure for Annotation and Ground-Truthing of Urdu Handwritten Text Image Corpus, 7th International Conference on Corpus Linguistics, University of Valladolid, Spain. 5-7 March 2015. Elsevier
• Prakash Choudhary, Neeta Nain and Manindra Nehra, A Framework for Compilation of Multi-lingual Handwritten Database: Four Levels XML Ground-Truth, 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Bangkok Thailand, 23-27, November 2015. IEEE
• Sheetal Singh and Prakash Choudhary, Stroke Prediction using Artificial Intelligence, 8th UEM Congress on Disruptive Technology and Disruptive Innovation-A Renaissance of this Century, Bangkok, Thailand, 16-18 August 2017.    IEEE
• Maninder Singh Nehra, Neeta Nain, Mushtaq Ahmed, Prakash Choudhary and Deepa Modi, Amalgamated Approach for Devanagari Script Corpus for OCR & Demographic Purpose and XML for Linguistic Annotation, 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), MNIT Jaipur, December 04-07, 2017. IEEE
• PK Bhagat and Prakash Choudhary, Multiclass Segmentation of Brain Tumor from MRI Images, Signals, Machines and Automation (SIGMA -2018), NSIT Delhi, 23-25 Februray 2018. Springer
• Abhishek Hazra and Prakash Choudhary An Advance Forward Pointer Based Routing In Wireless Mesh Network, Signals, Machines and Automation (SIGMA -2018), NSIT Delhi, 23-25 Februray 2018. Springer
• RabiKumar Meitram and Prakash Choudhary, Palm Vein Recognition Based on 2D Gabor Filter and Artificial Neural Network, 7th International Conference on Frontier on Information Technology (ICFIT), Paris, March 14-16, 2018, Scopus
• Abhishek Hazra, Prakash Choudhary and Oinam Vivek     An Advance Mobility Management Scheme in Wireless Network, 9th International Conference on Computing, Communication and Networking Technologies,  IISc Bangalore, July 10-12, 2018. IEEE
• Sanasam Inunganbi and Prakash Choudhary, Recognition of Meitei Mayek Using Statistical Texture and Histogram Feature, International Conference on Image Processing and Pattern Recognition (RTIP2R), Solapur University Maharastra, December 21-22, 2018. Springer
• Sanasam Inunganbi and Prakash Choudhary        Recognition of Handwritten Meitei Mayek and English Alphabets using Combination of Spatial Features, 18th International Conference on Intelligent Systems Design and Applications (ISDA), VIT Vellore, December 6-8, 2018. Springer
• Oinam Vivek Singh and Prakash Choudhary, A Study on Convolution Neural Network for Breast Cancer Detection International Conference on Advanced Computational and Communication Paradigms (ICACCP), Sikkim Manipal Institute of Technology (SMIT), Sikkim, March 22 - 24, 2019. IEEE
• Abhishek Hazra, Prakash Choudhary, M. Sheetal Singh    Recent Advances in Deep Learning Techniques and its Applications: An Overview, International Conference on Biomedical Engineering Science and Technology (CBEST), NIT Raipur, 20-21 DECEMBER 2018. IEEE
• Daijiry Narzary, Pankhuri Asthana, Mrinal Kanti Sarkar, Prakash Choudhary, Sensor less speed control of permanent magnet synchronous machine using higher order sliding mode functional observer, 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT), Sri Venkateshwara College of Engineering, Bengaluru, 19-20 May 2017. IEEE
• Sourav Mondal and Prakash Choudhary, Detection of Normal and Abnormal ECG Signal Using ANN, 12th International Joint Symposium on Artificial Intelligence and Natural Language Processing (SNLP2017) 27-29 August, 2017, Springer,
• Abhishek Hazra, Prakash Choudhary, Arjun Choudhary, Diagnosis of Chest Diseases in X-Ray images using Deep Convolutional Neural Network, 10th ICCCNT, IIT Kanpur, July 6-8, 2019. IEEE
• Sanasam Inunganbi, Prakash Choudhary and Kh. Manglem Singh, Manipuri Handwritten Character Recognition by Convolutional Neural Network, Computer Vision and Image Processing, MNIT Jaipur, 27 -29 September 2019, Springer
• Oinam Vivek Singh, Prakash Choudhary and Khelchandra Thongam, A Study on Deep learning for Breast Cancer detection in Histopathological images, Computer Vision and Image Processing, MNIT Jaipur, 27 -29 September 2019, Springer
• M. Sheetal Singh, Prakash Choudhary and Khelchandra Thongam, A Comparative Analysis for Various Stroke Prediction Techniques, Computer Vision and Image Processing, MNIT Jaipur, 27 -29 September 2019, Springer
• P. K. Bhagat, Prakash Choudhary and Kh Manglem Singh, Two Efficient Image Bag Generators for Multi-Instance Multi-Label Learning Computer Vision and Image Processing, MNIT Jaipur, 27 -29 September 2019, Springer
• Tarun Agrawal and Prakash Choudhary, Automated COVID-19 detection using Deep Convolutional Neural Network and Chest X-ray Images, International Conference on Computational Performance Evaluation (ComPE). 2021. IEEE