Human Face Detection and Recognition using Artificial Intelligence Mandapati Siva Sai Krishna Varma, S Abhishek, Sujatha Dandu, Anjali T 7th International Conference on Trends in Electronics and Informatics Icoei 2023 Proceedings, 2023 The method of recognizing and finding a human by their face in an image is called Human Face Detection and Recognition (HFDR). Application of Biometric method in detecting a human's Identity is called as HFD system. HFDR is a verification system designed to determine one's identity. Innovation in science and technology is rapidly achieving the peak level day by day. Artificial Intelligence (AI) and Machine Learning (ML) are the two such innovative inventions that kicked it up a notch and have turned the world to the next phase. This research is intended to detect and recognize faces using HFDR using ML. The consequences of the simulation experiment clearly show that the HFDR using ML method is best known for its accuracy in HFDR compared to the other algorithms used for Human Face Detection (HFD). The exactness of the proposed HFDR using ML method is illustrated through the experimental outcomes.
Deep Learning CNN Framework for Detection and Classification of Internet Worms Mundlamuri Venkata Rao, Divya Midhunchakkaravarthy, Sujatha Dandu Journal of Interconnection Networks, 2022 A worm is a standalone program, which is self-replicating malware that distributes itself to other computers and networks. An Internet worm can spread across the network and infect millions of computers in truly little time and the damages caused from such attacks are considered extremely high. In addition, these worms also affect the network packet and its performance, where the packets are analyzed by the signature-based intrusion detection system (IDS) and the network performance is analyzed by the NetFlow based IDS. Hence, this article proposes a joint detection of both the signature based and NetFlow based Internet worms using deep learning convolution neural network (DLCNN) with respect to various attacks and it can also prevent the suspicious actions of attackers (cyber-criminals). Additionally, it provides the security for users’ data maintenance, countermeasures, and controls the spreading of the internet worms. The effectiveness of proposed DLCNN model is evaluated using both packet capture (PCAP) and KDD-CUP-99 datasets. Finally, various quality metrics are employed to disclose the superiority of proposed DLCNN model as compared existing machine learning, and back propagated neural network models.
Practical approach to the defect prediction model for software testing Journal of Nuclear Energy Science and Power Generation Technology, 2021
Improving document relevant accuracy by distinguish doc2query matching mechanisms on biomedical literature Thayyaba Khatoon, A Govardhan, D Sujatha Proceedings of the Confluence 2020 10th International Conference on Cloud Computing Data Science and Engineering, 2020 Research in Biomedicine is increasing rapidly day by day and the need for maintaining the biomedical literature is also a tedious task. Data Curators, Doctors, Scientific Researchers have a requirement of analyzing biomedical articles for Scientific discoveries and scholarly knowledge from this vast collection of data to take a proper prediction. Biomedical data includes a collection of genes and protein related information and the mutations of the above which leads to diseases. This kind of hidden knowledge and relationships between above mentioned entities can be mined with proper preprocessing methods. This paper illustrates the comparison of various preprocessing methods used on biomedical data and the best combination of methods can be used for the retrieval of hidden intrinsic knowledge and patterns from Biomedical Literature Data Sources.
Improved Network Security in MANET using Dingo Optimizer with Attention Convolutional Neural Network-based Intrusion Detection and Classification Model DS M.N.S. Gangadhar, T. Suresh International Journal of Electronics and Communication Engineering 12 (7 … , 2025 2025
Experimental Fusion Study of Modern Economic Data Analysis and Data Visualization Done in Real Time SP Sujatha Dandu,Shilpa Rajole,B Priyanka Mukt Shabd Journal 13 (IX), 207-215 , 2024 2024
Comparative Research Based on Internet Worms MV Rao, D Midhunchakkaravarthy, S Dandu International Conference on Computational Innovations and Emerging Trends … , 2024 2024
The study Kafka-machine Learning Framework is Utilized through Data Streams in both Online Learning and On going Model improvement SP Sujatha Dandu ,Balasani Venkata Ramudu Mukt Shabd Journal 8 (Issue VI), 1308-1324 , 2024 2024
Retraction Note: Joint detection and classification of signature and NetFlow based internet worms using MBGWO-based hybrid LSTM MV Rao, D Midhunchakkaravarthy, S Dandu Journal of Computer Virology and Hacking Techniques 19 (4), 637-637 , 2023 2023
Propagation of computer worms—A study MV Rao, D Midhunchakkaravarthy, S Dandu International Conference on Soft Computing and Signal Processing, 629-639 , 2023 2023 Citations: 1
Human Face Detection and Recognition using Artificial Intelligence MSSK Varma, S Abhishek, S Dandu, A T 2023 7th International Conference on Trends in Electronics and Informatics … , 2023 2023 Citations: 11
Deep Learning CNN Framework for Detection and Classification of Internet Worms M Venkata Rao, D Midhunchakkaravarthy, S Dandu Journal of Interconnection Networks 22 (Supp03), 2144024 , 2022 2022 Citations: 3
Performance evaluation of various machine learning algorithms for heart disease detection S Sivakumar, PS Nagendra, S Dandu Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume … , 2021 2021 Citations: 3
Ambiguous Compatible Graph-Based Evolutionary Design for Intrusion SN Prabhu, P Sivakumar, S Shanthi, D Sujatha Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume … , 2021 2021
Machine Learning Algorithms for Heart S Sivakumar, PS Nagendra, S Dandu Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume … , 2021 2021
Practical Approach to the Defect Prediction Model for Software Testing S Dandu, K Rage, M Sundar Raj, N Mishra, D Sivakumar, S Mohan J Nucl Ene Sci Power Generat Techno 10 (9), 2 , 2021 2021 Citations: 1
Ambiguous Compatible Graph-Based Evolutionary Design for Intrusion Detection System S Nagendra Prabhu, P Sivakumar, S Shanthi, D Sujatha Soft Computing and Signal Processing, 285-293 , 2021 2021
Examining Streaming Data on Twitter Hash Tags with Relevance to Social Problems S Shanthi, D Sujatha, V Chandrasekar, S Nagendra Prabhu Intelligent System Design: Proceedings of Intelligent System Design: INDIA … , 2020 2020
Efficient predictions on asymmetrical financial data using ensemble random forests C Muppala, S Dandu, A Potluri Proceedings of the Third International Conference on Computational … , 2020 2020 Citations: 4
Improving document relevant accuracy by distinguish Doc2query matching mechanisms on biomedical literature T Khatoon, A Govardhan, D Sujatha 2020 10th International Conference on Cloud Computing, Data Science … , 2020 2020 Citations: 3
Soft Computing and signal processing VS Reddy, VK Prasad, J Wang, KTV Reddy Proceedings of 3rd ICSCSP 1, 1-18 , 2020 2020 Citations: 6
A modified firefly swarm optimization technique to improve the efficiency of underwater wireless sensor networks AM Viswa Bharathy, V Chandrasekar, D Sujatha Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 2 … , 2019 2019 Citations: 6
Analysis of MRI-based brain tumor detection using RFCM clustering and SVM classifier VR Eluri, C Ramesh, SN Dhipti, D Sujatha Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 2 … , 2019 2019 Citations: 11
MOST CITED SCHOLAR PUBLICATIONS
Minimization of energy consumption in wireless sensor networks by using a special mobile agent S Shanthi, P Nayak, S Dandu Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 1 … , 2019 2019 Citations: 19
Improved algorithm for frequent item sets mining based on apriori and fp-tree S Dandu, BL Deekshatulu, P Chandra Global Journal of Computer Science and Technology Software & Data … , 2013 2013 Citations: 19
Human Face Detection and Recognition using Artificial Intelligence MSSK Varma, S Abhishek, S Dandu, A T 2023 7th International Conference on Trends in Electronics and Informatics … , 2023 2023 Citations: 11
Analysis of MRI-based brain tumor detection using RFCM clustering and SVM classifier VR Eluri, C Ramesh, SN Dhipti, D Sujatha Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 2 … , 2019 2019 Citations: 11
Quantitative association rule mining on weighted transactional data D Sujatha, CH Naveen International Journal of Information and Education Technology 1 (3), 195 , 2011 2011 Citations: 10
Soft Computing and signal processing VS Reddy, VK Prasad, J Wang, KTV Reddy Proceedings of 3rd ICSCSP 1, 1-18 , 2020 2020 Citations: 6
A modified firefly swarm optimization technique to improve the efficiency of underwater wireless sensor networks AM Viswa Bharathy, V Chandrasekar, D Sujatha Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 2 … , 2019 2019 Citations: 6
ALGORITHM FOR MINING TIME VARYING FREQUENT ITEMSETS. D Sujatha, BL Deekshatulu Journal of Theoretical & Applied Information Technology 6 (2) , 2009 2009 Citations: 6
Mining Frequent Item Sets from incremental database: A single pass approach SD Sandhya Rani Jetti International Journal of Scientific & Engineering Research 2 (12), 1 , 2011 2011 Citations: 5
Efficient predictions on asymmetrical financial data using ensemble random forests C Muppala, S Dandu, A Potluri Proceedings of the Third International Conference on Computational … , 2020 2020 Citations: 4
Soft computing and signal processing J Wang, GRM Reddy, VK Prasad, VS Reddy Proceedings of ICSCSP 1 , 2018 2018 Citations: 4
Deep Learning CNN Framework for Detection and Classification of Internet Worms M Venkata Rao, D Midhunchakkaravarthy, S Dandu Journal of Interconnection Networks 22 (Supp03), 2144024 , 2022 2022 Citations: 3
Performance evaluation of various machine learning algorithms for heart disease detection S Sivakumar, PS Nagendra, S Dandu Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume … , 2021 2021 Citations: 3
Improving document relevant accuracy by distinguish Doc2query matching mechanisms on biomedical literature T Khatoon, A Govardhan, D Sujatha 2020 10th International Conference on Cloud Computing, Data Science … , 2020 2020 Citations: 3
PTP-mine: range based mining of transitional patterns in transaction databases S Pogula, S Dandu Global Journal of Computer Science and Technology 12 (2), 21-28 , 2012 2012 Citations: 3
Extended Apriori for association rule mining: Diminution based utility weightage measuring approach P Laxmi, A Poongodai, D Sujatha Journal of Computer Science and Technology 11 (22), 25-30 , 2011 2011 Citations: 2
Propagation of computer worms—A study MV Rao, D Midhunchakkaravarthy, S Dandu International Conference on Soft Computing and Signal Processing, 629-639 , 2023 2023 Citations: 1
Practical Approach to the Defect Prediction Model for Software Testing S Dandu, K Rage, M Sundar Raj, N Mishra, D Sivakumar, S Mohan J Nucl Ene Sci Power Generat Techno 10 (9), 2 , 2021 2021 Citations: 1
Improved Network Security in MANET using Dingo Optimizer with Attention Convolutional Neural Network-based Intrusion Detection and Classification Model DS M.N.S. Gangadhar, T. Suresh International Journal of Electronics and Communication Engineering 12 (7 … , 2025 2025
Experimental Fusion Study of Modern Economic Data Analysis and Data Visualization Done in Real Time SP Sujatha Dandu,Shilpa Rajole,B Priyanka Mukt Shabd Journal 13 (IX), 207-215 , 2024 2024