Deep learning based classification of lung cancer in CT scans using VGG19 and ResNet50 G. Swapna Rani, D. Mythili, P. Nagarani, Jyothi Peta Artificial Intelligence Computational Intelligence and Inclusive Technologies Proceedings of International Conference on Artificial Intelligence Computational Intelligence and Inclusive Technologies Icraic2it 2025, 2026
Improved lung cancer diagnosis using ensemble and kernel-based machine learning models G. Swapna Rani, J. Madhumathi, K. Ambika, T. Haritha Artificial Intelligence Computational Intelligence and Inclusive Technologies Proceedings of International Conference on Artificial Intelligence Computational Intelligence and Inclusive Technologies Icraic2it 2025, 2026
Challenges and solutions for processing big data stream processing and planning technology in real time Sabavath Sarika, R. Rupa, G. Swapna Rani Aip Conference Proceedings, 2021 Cloud and Big Data Analytics have been two of the most critical developments in recent years in the linear IT industry. In human society, data form and volume are rising in unprecedented pace, as modern services, such as cloud computers, the internet of stuff, and location-based services, have created an age of Big Data. Since data was an important resource, how big data was best handled and used has attracted considerable attention. This article proposes a multi-level storage and application process for LMA to solve the RTDP system’s mobility in real-time. In addition to the data processing terminal for the data collection system, the DSMS, CEP, batch-based map collected and other processing methods and the FPGA, GPU, CP user, and ASIC technologies are used. This multiple datum processing system is necessary in real time as it is fast and can process the data in a minimum amount of time, with a clear comparison between the different data stream processing systems and a model based on the previous comparison.
Study and improved data storage in cloud computing using cryptography P. Rupa, G. Swapna Rani, S. Sarika Aip Conference Proceedings, 2021 The Due to security issues, information over the Internet is becoming important. We have suggested a method to protect critical file data. Cryptography algorithms are an efficient way to encrypt sensitive data. It is a retrieval and transmission system that is readable only by intended users. The low cost and data usability of cloud computing is advantageous. Cloud storage has many advantages at low cost and data connectivity through the Internet. Ensured cloud data security is an important aspect in the cloud computing community, as customers often store confidential information with cloud storage services, but such providers are not trustworthy. So, it remains a challenge to exchange data in a safe way while storing data from an unconfident cloud. Our solution guarantees consumer confidential data protection and privacy by using the AES, RC2 algorithm to store data in a single cloud. The cloud computing concept and transitional discussion under cloud computing will be provided previously proposed. The cryptographic algorithm used in cloud is then addressed and the latest trend for cloud security
A study of prevention and detection analysis of SQL injection attack G. Swapna Rani, S. Sarika, P. Rupa Aip Conference Proceedings, 2021 In the contemporary world, Web applications have turned out as a crucial element. Everything became easy, simpler, and can meet its aim speedy with web applications. These applications help to reach consumers, patrons, and stakeholders throughout the world easily. The web applications made it easier to keep a proper communication channel between business consortium and consumers. The web applications store the decisive information in its databases which it receives from users. The web application and database are accessible through the internet which gets affected by all the kinds of security threads, leads to misuse of the important information of the user by attackers. Among those attacks, the SQL Injection attack been placed under the top ten susceptibilities. By this type of attack, the hacker can steal important and confidential information from the database which will affect any business or consumer’s establishments. The paper here provides quintessential information on the functions of Machine learning, Predictive Analytics, and development of the consequential web that precisely calculates and avoids SQLIA with experiential valuation presented in the Receiver operating curve and Confusion matrix.
