Publications:

Dr. K. Bhima

1. K. Bhima, “An OTP Framework for effective tumor segmentation and analysis in brain MRI images,” 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, 2023, pp. 1-7, doi: 10.1109/ICAECT57570.2023.10118149.
2. Bhima, K., (2023). An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images. In: Mercier-Laurent, E., Fernando, X., Chandrabose, A. (eds) Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems. ICCCSP 2023. IFIP Advances in Information and Communication Technology, vol 670. Springer, Cham. https://doi.org/10.1007/978-3-031-39811-7_6.
3. Bhima K., (2022). Contemporary Technique for Detection of Brain Tumor in Fluid-Attenuated Inversion Recovery Magnetic Resonance Imaging (MRI) Images. In: Satapathy, S.C., Bhateja, V., Favorskaya, M.N., Adilakshmi, T. (eds) Smart Intelligent Computing and Applications, Volume 2. Smart Innovation, Systems and Technologies, vol 283. Springer, Singapore. https://doi.org/10.1007/978-981-16-9705-0_12.
4. Bhima, K., (2022), “BEHAVIOUR ANALYSIS OF MENTALLY AFFECTED PEOPLE”, International Research Journal of Modernization in Engineering Technology and Science, Volume:04/Issue:05/May-2022.
5. Bhima, K., (2021). Development of Robust Framework for Automatic Segmentation of Brain MRI Images. In: Satapathy, S.C., Bhateja, V., Favorskaya, M.N., Adilakshmi, T. (eds) Smart Computing Techniques and Applications. Smart Innovation, Systems and Technologies, vol 225. Springer, Singapore. https://doi.org/10.1007/978-981-16-0878-0_51.
6. Role of Accreditation and Ranking in Academic Institution Development. Metszet, ISSN No: 2061-2710, DOI: 10.27896/METSZET8.4/01. Vol. 8, Issue. 4, April 2023. Page No. 1-6. https://metszetjournal.com/volume-8-issue-4-2023/. Scopus.
7. K Bhima,  https://www.taylorfrancis.com/chapters/edit/10.1201/9781003381167-21/. Automatic-probabilistic-framework-detection-segmentation-tumor-brain-MRI-images. Book Chapter 21: Hybrid Computational Intelligent Systems. eBook ISBN. 9781003381167. Edition. 1st Edition. CRC Press. 2023. Pages. 18.
8. K Bhima ,“Robust and Accurate Automated Methods for Detection and Segmentation of Brain Tumor in MRI”, International Journal of Recent Technology and Engineering (IJRTE), DOI:10.35940/ijrte.D9129.118419, ISSN: 2277-3878, Volume-8 Issue-4, November 2019.  (Scopus Indexed, Free Journal)
9. K Bhima ,”An Improved Method for Automatic Segmentation and Accurate Detection of Brain Tumor in Multimodal MRI”, International Journal of Image, Graphics and Signal Processing (IJIGSP), Vol.9, No.5, pp.1-8, 2017. DOI: 10.5815/ijigsp.2017.05.01. Published Online May 2017 in MECS-Press.  (Free Journal)
10. K Bhima,“Framework for Detection of Abnormalities in Brain Magnetic Resonance Images”, in Anale. Seria Informatics. Vol. XIV fasc. 2 – 2016.   (Free Journal).
11. K Bhima,“New Method for Automatic Detection of Brain Tumor in Multimodal Brain Magnetic Resonance Images”, in InnoSpace-2017: Special Edition, International Journal Of Computer Engineering In Research Trends, 4(1):26-29, January-2017. (Free in Special Edition).
12. K Bhima,“Exerting Moment Algorithms for Restoration of Blurred Images” in Global Journal of Computer science and Technology –Graphics & Vision, Volume 16,Issue 1, 2016.
13. K Bhima,“An Improved order independent parallel thinning algorithm for Image thinning” in International Journal of Computer Applications (0975 – 8887), Volume 46– No.3, May 2012.
14. K Bhima,“Novel Technique for Detection of Anomalies in Brain MR Images”, in the   International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2016),   held in KIIT, Bhubaneswar, India,   held on 16-17 September, 2016.The paper published in the SPRINGER- Advances in Intelligent Systems and Computing (AISC) series .
15. K Bhima,“Analysis of MRI Based Brain Tumor Identification using Segmentation Technique”, in the 5^th IEEE International Conference on Communication and Signal Processing, held in Adhiparasakthi Engineering College, Melmaruvathur, Tamilnadu, India, held on 6-8 April, 2016.The paper published in IEEE Xplore Digital Library.        
16. K Bhima,“Analysis of Moment Algorithms for Blurred Images”, in the IEEE International Conference on Wireless Communications, Signal Processing and Networking (WISPNET), held in SSN College of Engineering, Chennai, India, held on 23-25 March, 2016.The paper published in IEEE Xplore Digital Library.
17. K Bhima,“An Efficient Method for Identification of Anomalies in Brain MR Images”, in the IEEE International Conference on Signal and Information Processing (IConSIP-2016), held in SGGSIE&T, Nanded, Maharashtra, India during October 6-8, 2016. The paper published in IEEE Xplore Digital Library.
18. K Bhima,“Exerting Spatial Join and KNN Queries on Spatial Database”, in the International Conference on Recent Advances in Computing and Software Systems (RACSS 2012), held in SSN College of Engineering, Chennai, India. The accepted papers published in IEEE Xplore Digital Library.

Dr. U. Ganesh Naidu

•  Ganesh Naidu “Robust Combined Decision Tree With Clustering For Data Classification” in IJETT Volume3Issue4-2012.
• Ganesh Naidu “Keyword Query Routing using top-k Routing Plans” in IJDCST@Aug-Sept-2015, Issue- V-3, I-6, SW-08,ISSN-2320-7884.
• GaneshNaidu“NovelSecurityFrameworkforMANETsUsingSecurityroutingand Communication Security Protocols” in IJRCCT vol-7, Issue-2,Feb-2018.
• Ganesh Naidu “Adopting Centrality Measure Models in the Visualized Stock Market Network” in Jour of Adv. Research in Dynamical & Control Systems, Vol. 10, 09-Special Issue,2018.

• Ganesh Naidu “Review on Offline Handwritten Chinese Character Recognition Approaches^”inIJMTEISSN:2249-7455,VolumeX,IssueI,January/2020.
• Ganesh Naidu “ Improved Adaptive Neuro Fuzzy Inference System forHandwritten Optical Character Recognition” in IJRET Volume 11,Issue 11 November 2020,pp.778-792. ISSN Print:0976-6480 and ISSNOnline:0976-6499.

• Ganesh Naidu “A Novel Geotagging Method Using Image Steganography And GpS” in Turkish Journal of Physiotherapy and Rehabilitation Volume 32,Issue 3, ISSN 2651-4451 | e-ISSN 2651-446X, pp.807-812.
• Ganesh Naidu “Performance Analysis Of Ml Techniques On Movie Recommendation System” in International journal of modernization in engineering technology and science(IRJMETS) volume-4,Issue 3, e-ISSN: 2582-5208,Impact factor 6.752.
• Ganesh Naidu “Character Level Vehicle License Detection using Multi Layered Feed Forward Back Propagation Neural Network” in Bulletin of Electrical Engineerig and Informatics, Vol. 12, No. 1, February 2023.
• Ganesh Naidu “Character level segmentation and Recognition using CNN followed Random forest classifier for NPR system” in (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 13, No. 11, 2022.
• GaneshNaidu “A Novel Method for Indian Number Plate Detection and Recognition using EfficientNet” in Journal of Theoretical and Applied Information Technology.
• GaneshNaidu “A Novel Machine Learning based Stroke Prediction System using Magnetic Resonance Imaging and Adaptive New Fuzzy Inference System” in International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING ISSN:2147-6799214.
• GaneshNaidu “An IoT Machine Learning Approach for Visually Impaired People Walking Indoors and Outdoors” in International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING ISSN:2147-6799214.
• GaneshNaidu “Matrix-Based Deep Learning Approach to AI-Driven Cancer Detection, Personalized Treatment, And Ethical Consideration” in International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING ISSN:2147-6799214.
• GaneshNaidu “ Segmentation Free Approach Using Hybrid Network Model for Optical Character Recognition” in International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING ISSN:2147-6799214.