Internatioal Peer Reviewed Journals (SCI/ESCI/SCOPUS):  

1. Arun Kumar Dey, Govind P Gupta, Satya Prakash Sahu (2024), EMTD: Explainable Malicious Traffic Detection Model Using Hybrid Deep Learning Techniques for Industrial IoT Networks, Arabian Journal for Science and Engineering, pp 01-20.  https://doi.org/10.1007/s13369-024-09578-2

2. Arun Kumar Dey, Govind P Gupta, Satya Prakash Sahu (2024), BRL-ETDM: Bayesian reinforcement learning-based explainable threat detection model for industry 5.0 network, Cluster Computing, pp 01-26.  https://doi.org/10.1007/s10586-024-04422-6

3.  Satya  Verma , Satya Prakash  Sahu  & Tirath Prasad  Sahu (2024), Wavelet decomposition-based multi-stage feature engineering and optimized ensemble classifier for stock market prediction, The Engineering Economist, pp 01 - 26. https://doi.org/10.1080/0013791X.2024.2328526   

4.  Mandle, A.K., Sahu, S.P. & Gupta, G.P.(2024), WSSOA: whale social spider optimization algorithm for brain tumor classification using deep learning technique. International Journal of Information Technology. pp 01 - 17.  https://doi.org/10.1007/s41870-024-01782-5

5. Deepak Kumar Dewangan, Satya Prakash Sahu, Karm Veer Arya (2024), Vision-Sensor Enabled Multi-Layer CNN Scheme and Impact Analysis of Learning Rate Parameter for Speed Bump Detection in Autonomous Vehicle System, pp 01- 04, IEEE Sensors Letters.  doi: 10.1109/LSENS.2024.3360095.

6. Sneha Agrawal, Satya Prakash Sahu (2024), Image-based Parkinson disease detection using deep transfer learning and optimization algorithm, International Journal of Information Technology, vol. 16, issue. 02, pp 871 - 879.    https://doi.org/10.1007/s41870-023-01601-3

7. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2024), Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting, Computational Economics, vol. 63, issue. 06, pp. 2193 - 2224.   https://doi.org/10.1007/s10614-023-10400-8   

8. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2024), MCSO: Levy’s Flight Guided Modified Chicken Swarm Optimization, IETE Journal of Research, vol. 70, issue. 4, pp. 3780 -3794.       https://doi.org/10.1080/03772063.2023.2194265

9. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), Portfolio management using Additive Ratio Assessment based stock selection and deep learning for prediction, International Journal of Information Technology, vol. 15, issue. 08, pp 4055 - 4062.  https://doi.org/10.1007/s41870-023-01493-3

10. Singh, L., Janghel, R.R. and Sahu, S.P. (2023), A boosting-based transfer learning method to address absolute-rarity in skin lesion datasets and prevent weight-drift for melanoma detection, Data Technologies and Applications, vol. 51, issue. 1, pp. 1-17.  https://doi.org/10.1108/DTA-10-2021-0296.

11. Deepak Kumar Dewangan, Satya Prakash Sahu (2023), Lane detectio in intelligent vehicle system using optimal 2-tier deep convolutional neural network. Multimedia Tools and Applications, vol. 82, issue. 5, pp. 7293-7317.  https://doi.org/10.1007/s11042-022-13425-7  

12. Arun Kumar Dey, Govind P. Gupta, Satya Prakash Sahu (2023), A metaheuristic-based ensemble feature selection framework for cyber threat detection in IoT-enabled networks. Decision Analytics Journal, 100206. https://doi.org/10.1016/j.dajour.2023.100206 

13. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), Stock Market Forecasting with Different Input Indicators using Machine Learning and Deep Learning Techniques: A Review, Engineering Letters,  vol. 31, issue. 1, pp. 1-17.  https://www.engineeringletters.com/issues_v31/issue_1/EL_31_1_22.pdf

14. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), Discrete Wavelet Transform-based feature engineering for stock market prediction, International Journal of Information Technology, vol. 15, pp. 1179–1188 (2023). https://doi.org/10.1007/s41870-023-01157-2

15. Dewangan, Kranti Kumar, Satya Prakash Sahu, and Rekhram Janghel (2022), Enhanced deep learning frame model for an accurate segmentation of cancer affected part in breast. Concurrency and Computation: Practice and Experience, vol. 34, issue. 28, paper. e7379. https://doi.org/10.1002/cpe.7379

16. Deepak Kumar Dewangan, Satya Prakash Sahu (2022), Optimized Convolutional Neural Network for Road Detection with Structured Contour and Spatial Information. International Journal of Pattern Recognition and Artificial Intelligence, 36(06), p.2252002.  https://doi.org/10.1142/S0218001422520024 

17. Lokesh Singh, Rekh Ram Janghel & Satya Prakash Sahu (2022), An Empirical Review on Evaluating the Impact of Image Segmentation on the Classification Performance for Skin Lesion Detection, IETE Technical Review, https://doi.org/10.1080/02564602.2022.2068681

18. Sahu SP, Londhe ND, Verma S, et al. (2022), False positives reduction in pulmonary nodule detection using a connected component analysis based approach, International Journal of Biomedical Engineering and Technology, vol. 39, no. 2, pp 131-148.   https://www.inderscienceonline.com/doi/abs/10.1504/IJBET.2022.124015 

19. Mandle A. K, Sahu S. P, Gupta G. (2022),  Brain Tumor Segmentation and Classification in MRI using Clustering and Kernel-Based SVM. Biomedical and Pharmacology Journal, 2022;15(2) pp 699-716.  https://dx.doi.org/10.13005/bpj/2409.

20. Deepak Kumar Dewangan, Satya Prakash Sahu (2022), Towards the design of vision-based intelligent vehicle system: methodologies and challenges. Evolutionary Intelligence. https://doi.org/10.1007/s12065-022-00713-2 

21. Kranti Kumar Dewangan, Deepak Kumar Dewangan, Satya Prakash Sahu, Rekhram Janghel (2022), Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique. Multimedia Tools and Applications, vol. 81, no. 10, pp 13935-13960. https://doi.org/10.1007/s11042-022-12385-2

22. Mandle, A. K., Sahu, S. P., & Gupta, G. P. (2022), CNN-Based Deep Learning Technique for the Brain Tumor Identification and Classification in MRI Images. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-20. http://doi.org/10.4018/IJSSCI.304438

23. Sahu, Satya Prakash, B. Ramachandra Reddy, Dev Mukherjee, D. M. Shyamla, and Bhim Singh Verma (2022), A hybrid approach to software fault prediction using genetic programming and ensemble learning methods. International Journal of System Assurance Engineering and Management (2022): 1-15. https://doi.org/10.1007/s13198-021-01532-x

24. Sahu, S. P., Londhe, N. D., & Verma, S. (2022), Pulmonary nodule detection in CT images using optimal multilevel thresholds and rule-based filtering. IETE Journal of Research, 68(1) pp. 265-282. DOI: 10.1080/03772063.2019.1603084

25. Singh, Lokesh, Rekh Ram Janghel, Satya Prakash Sahu (2022), A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection. International Journal of Imaging Systems and Technology, vol. 32, no. 4, pp 1231-1250. https://doi.org/10.1002/ima.22692

26. Singh, Lokesh, Rekh Ram Janghel, Satya Prakash Sahu (2021), "A Deep Learning-Based Transfer Learning Framework for the Early Detection and Classification of Dermoscopic Images of Melanoma." Biomedical and Pharmacology Journal 14.3 (2021): 1231-1247.  https://dx.doi.org/10.13005/bpj/2225

27. Dewangan, D. K., Sahu, S. P., Sairam, B., & Agrawal, A. (2021), VLDNet: Vision-based lane region detection network for intelligent vehicle system using semantic segmentation. Computing, 130(12), pp. 2867-2892. https://doi.org/10.1007/s00607-021-00974-2

28. Singh, L, Janghel, RR, Sahu, SP. (2021), SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation. International Journal of Imaging Systems and Technology 31(4), pp. 1817-1833. https://doi.org/10.1002/ima.22591

29. Dewangan, D.K., Sahu, S.P. (2021),  RCNet: road classification convolutional neural networks for intelligent vehicle system. Intelligent Service Robotics 14(2), pp. 199–214. https://doi.org/10.1007/s11370-020-00343-6

30. Dewangan, D.K. and Sahu, S.P. (2021),  PotNet: Pothole detection for autonomous vehicle system using convolutional neural network. Electronics Letters., 57(2) 53-56.  https://doi.org/10.1049/ell2.12062

31. Sahu, SP, Londhe, ND, Verma, S, Singh, BK, Banchhor, SK. (2021),  Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm. International Journal of Imaging Systems and Technology, 31(3), pp. 1503-1518.   https://doi.org/10.1002/ima.22539

32. D. K. Dewangan and S. P. Sahu (2021), "Driving Behavior Analysis of Intelligent Vehicle System for Lane Detection Using Vision-Sensor," in IEEE Sensors Journal, vol. 21, no. 5, pp. 6367-6375, 1 March1, 2021, doi: 10.1109/JSEN.2020.3037340.

33. Singh, L., Janghel, R.R. and Sahu, S.P. (2021), "TrCSVM: a novel approach for the classification of melanoma skin cancer using transfer learning", Data Technologies and Applications, Vol. 55 No. 1, pp. 64-81. https://doi.org/10.1108/DTA-06-2020-0126

34. D. K. Dewangan and S. P. Sahu (2021), "Deep Learning-Based Speed Bump Detection Model for Intelligent Vehicle System Using Raspberry Pi," in IEEE Sensors Journal, vol. 21, no. 3, pp. 3570-3578, 1 Feb.1, 2021, doi: 10.1109/JSEN.2020.3027097.

35. Sahu, S. P., Agrawal, P., & Londhe, N. D. (2017),  A new hybrid approach using fuzzy clustering and morphological operations for lung segmentation in thoracic CT images. Biomedical and Pharmacology Journal, 10(4), 1949-1961. https://dx.doi.org/10.13005/bpj/1315

36. Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, (2017). An Automated System for the Detection of Lung Cancer in CT data at Early Stages: Review. International Journal of Control Theory and Applications 10(18):133-144.

International Conference Proceedings /Book Chapters: 

1. Vivek Shukla and Satya Prakash Sahu (2024), "Driver Drowsiness Detection using CNN with attention mechanism of Transformer model," 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, pp. 1-5, doi: 10.1109/ICCCNT61001.2024.10725816

2. Dheeraj Kumar Ghaghre, Govind P Gupta, Satya Prakash Sahu (2024), "Ensemble Machine Learning and Feature Selection for Effective Malware Detection," 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), Jabalpur, India, 2024, pp. 293-299, doi: 10.1109/CSNT60213.2024.10546128

3. Arun Kumar Dey, Govind P Gupta, Satya Prakash Sahu (2024), “An Efficient Cyber Assault Detection System using Feature Optimization for IoT-based Cyberspace”, Procedia Computer Science, vol. 235, pp. 757 -766, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.04.072

4.  Monica Ramchandani, Satya Prakash Sahu, Deepak Dewangan (2024), “Pedestrian Detection Using Transfer Learning for Intelligent Vehicle Systems.” In: Kumar, A., Mozar, S. (eds) Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering, ICCCE 2024. Lecture Notes in Electrical Engineering, vol 1096. Springer, Singapore.  https://doi.org/10.1007/978-981-99-7137-4_62 

5. Kranti Kumar Dewangan, Satya Prakash Sahu, Rekh Ram Janghel (2023), “Detection and Classification of Breast Cancer Using Different Machine Learning Classifier”, 2023 IEEE International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), Raipur, India, 2023, pp. 1-6, doi: 10.1109/ICAIIHI57871.2023.10489154

6.  Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), “Stock Market Forecasting Using Additive Ratio Assessment-Based Ensemble Learning.” In: Hassanien, A.E., Castillo, O., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. ICICC 2023. Lecture Notes in Networks and Systems, vol 731. Springer, Singapore. https://doi.org/10.1007/978-981-99-4071-4_25 

7.  Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), "Stock Market Forecasting Using Hyperparameter-Tuned Ensemble Model," 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, 2023, pp. 267-271. DOI: 10.1109/AIC57670.2023.10263934

8. Anil Kumar Mandle, Satya Prakash Sahu, Govind Gupta (2023), “Brain tumor segmentation of MR images using deep learning techniques: A review.” AIP Conf. Proc. 11 July 2023; 2745 (1): 020011. https://doi.org/10.1063/5.0133108 

9. Sonal Sahu, Satya Prakash Sahu, Deepak Kumar Dewangan (2023), “Pedestrian detection using ResNet-101 based Mask R-CNN.” AIP Conf. Proc. 16 June 2023; 2705 (1): 020008. https://doi.org/10.1063/5.0134276

10.  Monica Ramchandani, Satya Prakash Sahu, Deepak Kumar Dewangan (2023), "A Comparative Study in Pedestrian Detection for Autonomous Driving Systems," 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), Raigarh, Chhattisgarh, India, 2023, pp. 1-6, IEEE. https://doi.org/10.1109/OTCON56053.2023.10113992. 

11.  Dey, Arun Kumar, Govind P. Gupta, and Satya Prakash Sahu (2023), "Hybrid Meta-Heuristic based Feature Selection Mechanism for Cyber-Attack Detection in IoT-enabled Networks." Procedia Computer Science 218 (2023): 318-327. https://doi.org/10.1016/j.procs.2023.01.014

12.  Sahu, Sonal, Satya Prakash Sahu, and Deepak Kumar Dewangan (2023). "Pedestrian Detection Using MobileNetV2 Based Mask R-CNN." IoT Based Control Networks and Intelligent Systems. Springer, Singapore. 299-318. 

13. Singh, Lokesh, Rekh Ram Janghel, and Satya Prakash Sahu (2022) "An Epileptic Seizure Detection and Classification Based on Machine Learning Techniques." Next Generation Healthcare Systems Using Soft Computing Techniques. CRC Press 169-185.

14. Sahu, S.P., Kumar, A., Gupta, A., Sharmila, T.S. (2022). Brain Tumour Detection Using UNet Based Semantic Segmentation Scheme. In: Iyer, B., Crick, T., Peng, SL. (eds) Applied Computational Technologies. ICCET 2022. Smart Innovation, Systems and Technologies, vol 303. Springer, Singapore. https://doi.org/10.1007/978-981-19-2719-5_30 

15. A. K. Mandle, S. P. Sahu and G. Gupta, (2022).  Intelligent Brain Tumor Detection System using Deep Learning Technique, Second International Conference on Power, Control and Computing Technologies (ICPC2T), pp. 1-6, IEEE. https://doi:10.1109/ICPC2T53885.2022.9777073.

16. A. K. Mandle, S. Prakash Sahu and G. Gupta, (2022). A Study of Brain Tumor Segmentation and Classification using Machine and Deep Learning Techniques, Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), pp. 1-7, IEEE. https://doi: 10.1109/ICAECT54875.2022.9807934.

17. Verma, S., Sahu, S.P., Sahu, T.P. (2022). Stock Market Analysis of Beauty Industry During COVID-19. In: Verma, P., Charan, C., Fernando, X., Ganesan, S. (eds) Advances in Data Computing, Communication and Security. Lecture Notes on Data Engineering and Communications Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-16-8403-6_14

18. Verma, S., Prakash Sahu, S., Prasad Sahu, T. (2022). Ensemble Approach for Stock Market Forecasting Using ARIMA and LSTM Model. In: Pandian, A.P., Palanisamy, R., Narayanan, M., Senjyu, T. (eds) Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_6

19. Singh, L., Janghe, R.R. and Sahu, S.P. (2022). MSDTrA: A Boosting Based-Transfer Learning Approach for Class Imbalanced Skin Lesion Dataset for Melanoma Detection. In Data Mining and Machine Learning Applications (eds R. Raja, K.K. Nagwanshi, S. Kumar and K.R. Laxmi). https://doi.org/10.1002/9781119792529.ch13

20. Kumar, S., Janghel, R.R. and Sahu, S.P. (2022). Classification of EEG Signals for Detection of Epileptic Seizure Using Restricted Boltzmann Machine Classifier. In Data Mining and Machine Learning Applications (eds R. Raja, K.K. Nagwanshi, S. Kumar and K.R. Laxmi). https://doi.org/10.1002/9781119792529.ch15

21. Banjarey, K., Sahu, S.P., Dewangan, D.K. (2022). Human Activity Recognition Using 1D Convolutional Neural Network. In: Shakya, S., Balas, V.E., Kamolphiwong, S., Du, KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_54

22. Ojha A., Sahu S.P., Dewangan D.K. (2022) VDNet: Vehicle Detection Network Using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 101-113) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_9

23. Singh A., Bansal A., Chauhan N., Sahu S.P., Dewangan D.K. (2022) Image Generation Using GAN and Its Classification Using SVM and CNN. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 89-100) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_8

24. Vardiyani R., Sahu S.P. (2022) FCNet: Flower Classification Using Custom-Made Convolution Neural Network and Transfer Learning. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 115-125) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_10

25. Dewangan, D.K., Sahu, S.P. (2021). Lane Detection for Intelligent Vehicle System Using Image Processing Techniques. In: Verma, G.K., Soni, B., Bourennane, S., Ramos, A.C.B. (eds) Data Science. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5_21

26. Dewangan, D. K., & Sahu, S. P. (2021, May). Predictive Control Strategy for Driving of Intelligent Vehicle System against the Parking Slots. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 10-13). IEEE.

27. Ojha, A., Sahu, S. P., & Dewangan, D. K. (2021, May). Vehicle Detection through Instance Segmentation using Mask R-CNN for Intelligent Vehicle System. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 954-959). IEEE.

28. Banjarey, K., Sahu, S. P., & Dewangan, D. K. (2021, April). A Survey on Human Activity Recognition using Sensors and Deep Learning Methods. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1610-1617). IEEE.

29. Pardhi, P., Yadav, K., Shrivastav, S., Sahu, S. P., & Dewangan, D. K. (2021, April). Vehicle Motion Prediction for Autonomous Navigation system Using 3 Dimensional Convolutional Neural Network. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1322-1329). IEEE.

30. Dewangan, D. K., & Sahu, S. P. (2021). Road Detection Using Semantic Segmentation-Based Convolutional Neural Network for Intelligent Vehicle System. In Data Engineering and Communication Technology (pp. 629-637). Springer, Singapore.

31. Krishna A., Sahu S. P., Janghel R.R., Singh B.K. (2021) Speech Parameter and Deep Learning Based Approach for the Detection of Parkinson’s Disease. In: Pandian A., Fernando X., Islam S.M.S. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 66, (pp. 507-517). Springer, Singapore.

32. Sahu, S. P., Dewangan, D. K., Agrawal, A., & Priyanka, T. S. (2021, March). Traffic Light Cycle Control using Deep Reinforcement Technique. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 697-702). IEEE.

33. Jain, A., Sukhdeve, T., Gadia, H., Sahu, S. P., & Verma, S. (2021, March). COVID19 Prediction using Time Series Analysis. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 1599-1606). IEEE.

34. Kumar, S., Janghel, R. R., & Sahu, S. P. (2021). Epileptic Seizure Detection Using Machine Learning Techniques. In International Conference on Innovative Computing and Communications (pp. 255-266). Springer, Singapore.

35. Sahu, S. P., Kumar, R., Londhe, N. D., & Verma, S. (2021). Segmentation of Lungs in Thoracic CTs Using K-means Clustering and Morphological Operations. In Advances in Biomedical Engineering and Technology (pp. 331-343). Springer, Singapore.

36. Singh, L., Janghel, R. R., & Sahu, S. P. (2021). Classification of Hepatic Disease Using Machine Learning Algorithms. In Advances in Biomedical Engineering and Technology (pp. 161-173). Springer, Singapore.

37. Singh, L., Janghel, R. R., & Sahu, S. P. (2021). Automated CAD System for Skin Lesion Diagnosis: A Review. Advances in Biomedical Engineering and Technology, 295-320.

38. Kumar, S., Janghel, R. R., & Sahu, S. P. Convolutional Neural Network for Seizure Detection Using Scalp Electroencephalogram (EEG). In Proceedings of 6th International Conference on Recent Trends in Computing: ICRTC 2020 (p. 431). Springer Nature.

39. Kamble, B., Sahu, S. P., & Doriya, R. (2020). A review on lung and nodule segmentation techniques. In Advances in Data and Information Sciences (pp. 555-565). Springer, Singapore.

40. Singh, L., Janghel, R. R., & Sahu, S. P. (2020). Designing a retrieval-based diagnostic aid using effective features to classify skin lesion in dermoscopic images. Procedia Computer Science, 167, 2172-2180.

41. Janghel, R. R., Singh, L., Sahu, S. P., & Rathore, C. P. (2020). Classification and detection of breast cancer using machine learning. Social Networking and Computational Intelligence, 269-282.

42. Sahu, S. P., Kamble, B., & Doriya, R. (2020). 3D Lung Segmentation Using Thresholding and Active Contour Method. Advances in Intelligent Systems and Computing; Springer: Singapore, 369-380.

43. Sahu, S. P., & Kamble, B. (2020). A Hybrid Approach for 3D Lung Segmentation in CT Images Using Active Contour and Morphological Operation. In Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering (pp. 163-175). IGI Global.

44. Waiker, D., Baghel, P. D., Varma, K. R., & Sahu, S. P. (2020, March). Effective Semantic Segmentation of Lung X-Ray Images using U-Net Architecture. In 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) (pp. 603-607). IEEE.

45. Sairam, B., Agrawal, A., Krishna, G., & Sahu, S. P. (2020, March). Automated vehicle parking slot detection system using deep learning. In 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) (pp. 750-755). IEEE.

46. Dewangan, D. K., & Sahu, S. P. (2020, January). Real time object tracking for intelligent vehicle. In 2020 first international conference on power, control and computing technologies (ICPC2T) (pp. 134-138). IEEE.

47. Sahu, S. P., Agrawal, P., Londhe, N. D., & Verma, S. (2019). Lung segmentation of CT images using fuzzy C-means for the detection of cancer in early stages. In Advances in data and information sciences (pp. 167-176). Springer, Singapore.

48. Janghel, R. R., Sahu, S. P., Rathore, Y. K., Singh, S., & Pawar, U. (2019). Application of Deep Learning in Speech Recognition. In Handbook of Research on Deep Learning Innovations and Trends (pp. 59-71). IGI Global.

49. Janghel, R. R., Sahu, S. P., Tatiparti, G., & Kose, M. (2019). Noise Removal from Epileptic EEG signals using Adaptive Filters. In Machine Intelligence and Signal Analysis (pp. 37-47). Springer, Singapore.

50. Bafna, Y., Verma, K., Panigrahi, L., & Sahu, S. P. (2018). Automated boundary detection of breast cancer in ultrasound images using watershed algorithm. In Ambient communications and computer systems (pp. 729-738). Springer, Singapore.

51. Satya Prakash Sahu, “Automated System for the Detection of Lung Cancer in Early Stages: Challenges and Methodologies” International Journal of Arts & Sciences’ (IJAS) International Conference for Technology and Science, on 4-7 November 2014 at University of London Union, Malet Street, London.

52. Sahu, S. P., & Verma, S. (2011, March). Secured and authentic communication by combined approach of digital watermarking and steganography. In International Conference on Advances in Communication, Network, and Computing (pp. 595-599). Springer, Berlin, Heidelberg.

53. Satya Prakash Sahu, Rashmiprava Singh, “Research towards Bluetooth based Wireless Devices”, International Conference on Intelligent System & Data Processing (CISD 2011) on 24-25 January 2011 at G H Patel College of Engg & Technology, Vidyanagar, Gujrat, India.

54. Rasmiprava Singh, S. P. Sahu, Snehlata Berde, “Bluetooth based Wireless Personal Area Network (PAN): An Overview”, International Conference on Value Creation for Competitive Differentiation: Emerging Business Model on Global Economy, on 30-31 January 2011 at Prestige Institute of Management & Research, Indore, MP, India.

55. Sachan A K, Sahu Satya Prakash , “Web Applications: An Innovative approach for Banking Services on Mobile Device”, Management of IT & Infrastructure for flexibility & Competitiveness GLOGIFT-05, 2005, pp. 155-162, ISBN : 81-903397-0-2

National Conference:           

1. Satya Verma, S. P. Sahu, Rasmiprava Singh, “Digital Watermarking” in Tehnologia-2009, a National Conference in emerging Technologies on 13-14 March 2009 MPCCET, Bhilai (C.G.)
2. Rashmiprava Singh, Satya Verma, Satya Prakash Sahu, “Application of Wireless Communication” in Tehnologia-2009, a National Conference in emerging Technologies on 13-14 March 2009 MPCCET, Bhilai (C.G.).
3. Satya Prakash Sahu, “Web based Application: A pioneering approach toward Banking Services on Mobile Device” in 1^st National Conference in Computer Science & Information Technology on 11-12 Nov. 2006 organized at KIET Ghaziabad (U.P.) INDIA.

Doctoral Thesis Supervision:

Professional Society Membership

• Senior Member IEEE (Bombay Section) 

• Institution of Engineers of India (IEI) Lifetime Membership 

• Computer Society of India (CSI) Lifetime Membership