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All issues Volume 392 (2024) MATEC Web Conf., 392 (2024) 01089 References
Open Access
Issue
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
Article Number 01089
Number of page(s) 13
DOI https://doi.org/10.1051/matecconf/202439201089
Published online 18 March 2024
  1. Madhu, Bhukya, M. Venu Gopala Chari, Ramdas Vankdothu, Arun Kumar Silivery, and Veerender Aerranagula. “Intrusion detection models for IOT networks via deep learning approaches.” Measurement: Sensors 25 (2023): 100641. [CrossRef] [Google Scholar]
  2. Madhu, Bhukya, and M. Venu Gopalachari. “Classification of the Severity of Attacks on Internet of Things Networks.” In Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022, pp. 411-424. Singapore: Springer Nature Singapore, 2023. [Google Scholar]
  3. Madhu, Bhukya, Sanjib Kumar Nayak, Veerender Aerranagula, E. Srinath, Mamidi Kiran Kumar, and Jitendra Kumar Gupta. “IoT Network Attack Severity Classification.” In E3S Web of Conferences, vol. 430, p. 01152. EDP Sciences, 2023. [CrossRef] [EDP Sciences] [Google Scholar]
  4. Madhu, Bhukya, Veerender Aerranagula, Riyaz Mahomad, V. Ravindernaik, K. Madhavi, and Gopal Krishna. “Techniques of Machine Learning for the Purpose of Predicting Diabetes Risk in PIMA Indians.” In E3S Web of Conferences, vol. 430, p. 01151. EDP Sciences, 2023. [CrossRef] [EDP Sciences] [Google Scholar]
  5. Silivery, Arun Kumar, Ram Mohan Rao Kovvur, Ramana Solleti, LK Suresh Kumar, and Bhukya Madhu. “A model for multi-attack classification to improve intrusion detection performance using deep learning approaches.” Measurement: Sensors (2023): 100924. [Google Scholar]
  6. Rakesh, S., Nagaratna P. Hegde, M. Venu Gopalachari, D. Jayaram, Bhukya Madhu, Mohd Abdul Hameed, Ramdas Vankdothu, and LK Suresh Kumar. “Moving object detection using modified GMM based background subtraction.” Measurement: Sensors 30 (2023): 100898. [CrossRef] [Google Scholar]
  7. Madhu, Bhukya, M. Venu Gopala Chari, Ramdas Vankdothu, Arun Kumar Silivery, and Veerender Aerranagula. “Intrusion detection models for IOT networks via deep learning approaches.” Measurement: Sensors 25 (2023): 100641. [CrossRef] [Google Scholar]
  8. Khan, Sarah, Quamrul Hassan, Kaushal Kumar, Saurav Dixit, Kshama Sharma, Vivek Kumar, Navdeep Dhaliwal, and Bhukya Madhu. “Modelling the Impact of Road Dust on Air Pollution: A Sustainable System Dynamics Approach.” In E3S Web of Conferences, vol. 430, p. 01176. EDP Sciences, 2023. [CrossRef] [EDP Sciences] [Google Scholar]
  9. Bhardwaj, Himanshi, Pooja Kapoor, Avnish Kumar, N. V. Ganapathi, and Bhukya Madhu. “Incorporating Sustainability: A Comprehensive Review of Factors Influencing Consumer Acceptance of Mobile Wallets.” In E3S Web of Conferences, vol. 430, p. 01206. EDP Sciences, 2023. [CrossRef] [EDP Sciences] [Google Scholar]
  10. Tumula S., Ramadevi Y., Padmalatha E., Kiran Kumar G., Venu Gopalachari M., Abualigah L., Chithaluru P., Kumar M., “An opportunistic energy-efficient dynamic self-configuration clustering algorithm in WSN-based IoT networks”, (2024) International Journal of Communication Systems, 37 (1), art. no. e5633, DOI:10.1002/dac.5633 [CrossRef] [Google Scholar]
  11. Rajender N., Gopalachari M.V. , “An efficient dimensionality reduction based on adaptive-GSM and transformer assisted classification for high dimensional data”, (2024) International Journal of Information Technology (Singapore), 16 (1), pp. 403 –416, DOI: 10.1007/s41870-023-01552-9 [CrossRef] [Google Scholar]
  12. Gopalachari M.V., Kolla M., Mishra R.K., Tasneem Z., “Design and Implementation of Brain Tumor Segmentation and Detection Using a Novel Woelfel Filter and Morphological Segmentation”,(2022) Complexity, 2022, art. no. 6985927, DOI: 10.1155/2022/6985927 [Google Scholar]
  13. Kolla M., Mishra R.K., Zahoor Ul Huq S., Vijayalata Y., Gopalachari M.V., Siddiquee K., “CNN-Based Brain Tumor Detection Model Using Local Binary Pattern and Multilayered SVM Classifier”,(2022), Computational Intelligence and Neuroscience, 2022, art. no. 9015778, DOI: 10.1155/2022/9015778 [Google Scholar]
  14. Venu Gopalachari M., Gupta S., Rakesh S., Jayaram D., Venkateswara Rao P., “Aspectbased sentiment analysis on multi-domain reviews through word embedding”,(2023) Journal of Intelligent Systems, 32 (1), DOI: 10.1515/jisys-2023-0001 [CrossRef] [Google Scholar]
  15. Mukkamula V.G., Nangunuri L, “Location aware social networks user profiling using big data analytics”, (2017) International Journal of Intelligent Engineering and Systems, 10 (6), pp. 242 –249, DOI:10.22266/ijies2017.1231.26 [CrossRef] [Google Scholar]
  16. Gopalachari M.V., Sammulal P., “A hybrid approach to handle cold start in a recommender by exploiting latent factors”,(2016) International Journal of Applied Engineering Research, 11 (6), pp. 3905 –3909 [Google Scholar]
  17. Gopalachari M.V. , “DBT recommender: Improved trustworthiness of ratings through de-biasing tendency of users”, (2018) International Journal of Intelligent Engineering and Systems, 11 (2), pp. 85 –92, DOI: 10.22266/IJIES2018.0430.10 [CrossRef] [Google Scholar]
  18. Vatambeti R., Divya N.S., Jalla H.R., Gopalachari M.V. , Attack Detection Using a Lightweight Blockchain Based Elliptic Curve Digital Signature Algorithm in Cyber Systems,(2022) International Journal of Safety and Security Engineering, 12 (6), pp. 745 –753, DOI:10.18280/ijsse.120611. [CrossRef] [Google Scholar]
  19. Sammulal P., Venu Gopalachari M., “A personalized recommender system using conceptual dynamics”, (2017) Advances in Intelligent Systems and Computing, 507, pp. 211 –219, DOI: 10.1007/978-981-10-2471-9_21 [CrossRef] [Google Scholar]
  20. Prathi J.K., Raparthi P.K. , Gopalachari M.V., ”Real-Time Aspect-Based Sentiment Analysis on Consumer Reviews”, (2020) Advances in Intelligent Systems and Computing, 1079, pp. 801 –810, DOI: 10.1007/978-981-15-1097-7_67 [Google Scholar]
  21. Venu Gopalachari M., Sammulal P., “Personalized collaborative filtering recommender system using domain knowledge”, (2014) International Conference on Computing and Communication Technologies, ICCCT 2014, art. no. 7066693, DOI: 10.1109/ICCCT2.2014.7066693 [Google Scholar]
  22. Venu Gopalachari M., Sammulal P., “Hybrid recommender system with conceptualization and temporal preferences”, (2016) Advances in Intelligent Systems and Computing, 380, pp. 811 –819, DOI: 10.1007/978-81-322-2523-2_79 [CrossRef] [Google Scholar]
  23. Venu Gopalachari M., Sammulal P., “Personalized web page recommender system using integrated usage and content knowledge”, (2015) Proceedings of 2014 IEEE International Conference on Advanced Communication, Control and Computing Technologies, ICACCCT 2014, art. no. 7019261, pp. 1066 –1071,10.1109/ICACCCT.2014.7019261 [Google Scholar]
  24. Gopalachari M.V., Sammulal P., Babu A.V., ” Correlating scheduling and load balancing to achieve optimal performance from a cluster”,(2009) 2009 IEEE International Advance Computing Conference, IACC 2009, art. no. 4809029, pp. 320 –325, DOI: 10.1109/IADCC.2009.4809029 [Google Scholar]
  25. Kavati I., Kumar G.K., Gopalachari M.V., Babu E.S., Cheruku R., Reddy V.D. , “Noninvertible Cancellable Template for Fingerprint Biometric”,(2022) Lecture Notes in Networks and Systems, 420 LNNS, pp. 615 –624, DOI: 10.1007/978-3-030-96305-7_57 [Google Scholar]
  26. Pyaraka S.C.R., Lanka S.S., Konanki P., Venu Gopalachari M., Rakesh S., Jayaram D., “Review on 3D Model Generation Through Natural Language and Image Processing”,(2023) Cognitive Science and Technology, Part F1466, pp. 311 –317, DOI:10.1007/978-981-99-2742-5_33 [Google Scholar]
  27. Jayaram D., Rakesh S., Venu Gopalachari M., Gaddam S., Kranthi Kumar Reddy B., Pulluri P.S. , “Student Monitoring System Using Deep Learning”, (2023) Cognitive Science and Technology, Part F1466, pp. 467 –474, DOI: 10.1007/978-981-99-2742-5_48 [Google Scholar]
  28. Rakesh S., Venu Gopalachari M., Jayaram D., Gupta I., Agarwal K., Nishanth G., “A Review on Sign Language Recognition Techniques”,(2023) Cognitive Science and Technology, Part F1466, pp. 301 –309, DOI: 10.1007/978-981-99-2742-5_32 [Google Scholar]
  29. Kiran Kumar G., Malathi Rani D., Venu Gopalachari M., Rakesh S., Ashraf S, “Melanoma Classification Using Convolutional Neural Network”,(2023) AIP Conference Proceedings, 2754 (1), art. no. 070019, DOI: 10.1063/5.0162544 [Google Scholar]
  30. Rakesh S., Gopalachari M.V., Kumar G.K. , Automatic music genre classification using deep learning,(2023) AIP Conference Proceedings, 2754 (1), art. no. 070012, DOI:10.1063/5.0161104. [Google Scholar]

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