The cloud data management infrastructure is being transformed by serverless databases because of their operational simplicity, usage-based pricing, and elastic scalability. However, their performance in real-world workloads analysis is still unexplored. This paper presents an in-depth analysis of serverless database systems using simulation-based b...

By Harsha Vardhan Reddy Kavuluri

Medical disorders in women can often be the underlying cause of various symptoms and are frequently associated with anovulatory conditions, such as Endometriosis. The limitation of finding the specific diseases in image processing approach is complex structure tissue, early detection and treatment of these conditions are essential. To address these...

By J. Josphin Mary, V. Shanthi

Concerns about the application of AI, for instance, include issues of morality, accuracy, and trust. AI chatbots recently transformed educational systems around the globe. They are available for more than just simple queries; they can provide explanations, additional material and support for learning whenever required. Chatbots may also take the fo...

By Vandita Sharma, Nitu Sehrawat, Manisha Verma, Ruchi Sharma, Anil Kumar

Indian manufacturing companies are progressively implementing Industry 4.0 technologies to enhance the level of operational efficiency and the managerial decision-making process; nevertheless, there is limited empirical evidence of how the adoption of the Digital Twin (DT) affects performance, especially in the emerging economy environment. This re...

By Roohee Khan, Ashu Nayak

The study examines the revolutionary concept of social media in determining the political environment of the youth (ages 18-35) in emerging economies, whereby many traditional democratic institutions are typically challenged by structural and transparency factors. By the beginning of 2025, more than 62 % of the world population will be linked throu...

By Abduqahhor Rakhmonov, Oltinoy Masalieva, Amanlik Gulimov, Olimjon Xolov, Mardonbek Rajapov, Nodira Khodjaeva, Timur Mukhamadiev, Olimjon Gaimnazarov

The manufacturing industry around the globe is now facing one of the most nervous upheavals in history, wherein the prediction of financial performance now ranks among the most crucial processes of production. In the case of technology-intensive companies, standard planning may not be as precise as it needs to be to cope with high capital intensity...

By Shinki Katyayani Pandey, Mariyam Ahmed

The 6G wireless networks will be used in autonomous systems, extended reality, digital healthcare, and large-scale cyber-physical infrastructures, making it possible to provide applications they previously did not know to be intelligent and ultra-reliable communication. Nevertheless, 6G networks are quite complicated and heterogeneous, which are ch...

By P. Karunakaran, Ali Bostani, Salomov Gulom, S. Shantha Kumar, V. Manimala, T. Velmurugan, R. Praveenkumar

The concept of monitoring conditions with the help of AI has become a significant aspect of Industry 4.0 that enhances machine reliability and provides predictive maintenance. However, the models of anomaly detection based on deep learning are not readily implemented because of their lack of interpretability. The article introduces a novel anomaly ...

By M. Mohamed Musthafa, A. Aafiya Thahaseen, R. Arulmozhi, S. Mohammed Ibrahim, S. Sangeetha, M. Rabiyathul Fathima, M. Gowthami, P. Esaiyazhini

This paper introduces a new E-voting system that uses the consensus algorithms to ensure secure, efficient, and transparent voting processes on the basis of blockchain. The suggested model combines a number of cryptographic methods and consensus algorithms to overcome the current issues related to the traditional voting systems, including slow proc...

By V. Malathi, R. Jaichandran

The sophistication of the contemporary code has augmented defect prediction (SDP) with vital concerns like severe imbalance in classes, high redundancy of features and failure of conventional techniques to gain the rich semantic and structural context of a source code. The model suggested within the current paper is HDA-SE-GFF that has Semantic-Enr...

By P. Bhavani, N. Danapaquiame