Johnson Kolluri, Dr.Shaik Razia, Soumya Ranjan Nayak “Text Classification using Machine Learning and Deep Learning Models” published at International Conference on Artificial Intelligence in Manufacturing & Renewable Energy(ICAIMRE-2019),25&26th Oct-2019.

Johnson Kolluri and Ranjita Das “Ship Detection from Satellite Images with an Advanced deep learning model (single Shot Detector (SSD))” International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) June18-19,2022, conference proceedings by Springer Smart Innovation, Systems and Technologies(SIST).

Johnson Kolluri, vinay kumar kotte,M.S.B Phridviraj and Dr.Shaik Razia ”Reducing Overfitting Problem in Machine Learning Using Novel L1/4 Regularization Method” published at Fourth International Conference on Trends in Electronics and Informatics (ICOEI-2020), DVD Part Number: CFP20J32-DVD; ISBN: 978-1-7281-5517-3, June-2020.

Johnson Kolluri, Ranjita Das "An efficient Synergic Model with Contrast Limited Adaptive Histogram Equalization model for Object Classification in Ship Detection," 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 2022, pp. 1-7, doi: 10.1109/MysuruCon55714.2022.9972532.

Ganesh, V., Johnson Kolluri, J., Maada, A.R., Ali, M.H., Thota, R., Nyalakonda, S. (2022). Real-Time Video Processing for Ship Detection Using Transfer Learning. In: Chen, J.IZ., Tavares, J.M.R.S., Shi, F. (eds) Third International Conference on Image Processing and Capsule Networks. ICIPCN 2022. Lecture Notes in Networks and Systems, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-031-12413-6_54.

Johnson Kolluri, V Ganesh and vinay kumar kotte, “Diabetics Prediction using Logistic Regression and Feature Normalization” published at Fourth International Conference on Innovative Communication and smart Electrical systems (ICSES-2021), Organised by:St.Joseph’s Institute of Technology,Chennai,India; ISBN: 978-1-6654-3520-8, 24th &25th September,2021.

Johnson Kolluri, V. ChandraShekar Rao, Gouthami velakanti, Siripuri Kiran, sumukham Sravanthi , S.Venkatramulu “Text Classification Using Deep Neural Networks” published at 5th International Conference On Intelligent Computing and Communication (ICICC-2021), paper ID-108 held at Dayananda Sagar University, Bengaluru ,India, November-2021

Johnson Kolluri, K.Vinay Kumar, C.Srinivas, Siripuri Kiran, Swapna Saturi, Ravula Rajesh “COVID-19 Detection from X-rays using Deep Learning Model” published at 5th International Conference On Intelligent Computing and Communication (ICICC-2021), paper ID-108 held at Dayananda Sagar University, Bengaluru ,India, November-2021.

Johnson kolluri, N Anusha, Dr. C.V GuruRao “Refinement Trust Model Creation For Service Oriented Architecture Using Interface Theory” Published at International Journal of Computer Science Information and Engineering, Technologies, Issue-3-Vol-3-series-1, ISSN:2277-4408,01-september-2013.

Johnson Kolluri, Rajitha Jampala,” Observing the Protection of Confidential Location System for WSNs” published at International Journal Computer Technology and Applications , vol 3(5), ISSN:2229-6093,1807-1812,sep-oct 2012.

Johnson Kolluri, Sumera Mohammadi, Dr.C.V.Gururao” The Future of Wireless -IEEE STANDARD 802.16 for Global Broadband Wireless Access ” published at International Journal of Research Computational Technology, vol.2 Issue.3, ISSN:0975-5665, June-2012.

Johnson Kolluri, Dr.Shaik Rajia, Dr.Niranjan Polala “A Comparative Study of Deep Learning Models used for Object identification” published at Compliance Engineering Journal(UGC-Care Journal) Vol-10/Issue-09, ISSN 0898-3577, 2019.

Johnson Kolluri, Ch Anila, S.P Anand Raj “Secure Data Transfer In CLOUD By Using Aes” published at International journal of Engineering and Science Research Vol-3/Issue-10/4864-4871, ISSN 2277-2685, October-2013.

Johnson kolluri, N Anusha, Dr. C.V GuruRao “Refinement Trust Model Creation For Service Oriented Architecture Using Interface Theory” Published at International Journal of Computer Science Information and Engineering, Technologies, Issue-3-Vol-3-series-1, ISSN:2277-4408,01-september-2013.

Kolluri, J., & Das, R. (2025). Multimodal image analysis based pedestrian detection using optimization with classification by hybrid machine learning model. International Journal of Image, Graphics and Signal Processing, 17(1), 31–44. https://doi.org/10.5815/ijigsp.2025.01.03

Johnson Kolluri, Sandeep Kumar Dash and Ranjita Das “Plant Disease Identification Based on Multimodal Learning” International Journal of Intelligent Systems and Applications in Engineering(2024). ISSN:2147-6799, Volume 12, No 15S (2024).

Johnson Kolluri, Ranjita Das “An Evaluation of Deep Learning- Based Object Identification” IJRITCC(2022). https://doi.org/10.17762/ijritcc.v10i1s.5795, ISSN: 2321-8169 Volume: 10 Issue: 1, 9 November 2022.

Johnson Kolluri, Sandeep Kumar Dash, Ranjita Das “MM_Fast_RCNN_ResNet: Construction of Multomodel Faster RCNN Inception and ResNet V2 for Pedestrian Tracking and Detection” is accepted in the International Journal of Maritime Engineering (ISSN/E-ISSN : 1479-8751/1740- 0716).

Johnson Kolluri, Ranjita Das “Intelligent Multimodal Pedestrian Detection using Hybrid Metaheuristic Optimization with Deep Learning Model” Image and Vision Computing(2023). https://doi.org/10.1016/j.imavis.2023.104628, March-2023.

Johnson Kolluri, D. Suresh Babu, B. Raju, S. Swapna, D. Ramesh & Rajitha Bonagiri “Dengue symptoms classification analysis with improved conditional probability decision analysis” Appl Nanosci (2022). https://doi.org/10.1007/s13204-022-02387-9, 11 February 2022.