ABSTRACT: The growing complexity of IT demands has accelerated the adoption of cloud computing, with hybrid cloud emerging as a preferred model. This research explores efficient strategies for seamless cloud integration byRead More…
ABSTRACT: This research introduces the Enhanced Schmidt Samoa (ESS) cryptosystem, a powerful public key cryptographic method aimed at securing data privacy in cloud environments. The ESS cryptosystem effectively safeguards single-owner data byRead More…
ABSTRACT: Ransomware attacks pose a critical threat to cloud environments, affecting data security and operational continuity. In response, organizations must adopt adaptive strategies for evolving threats to effectively mitigate these risks. ThisRead More…
ABSTRACT: Outbreaks of plant diseases reduce agricultural yield and threaten food stability. Web App for Automatic Detection of plant leaf disease is a major step forward in agricultural automation. Rapid and accurateRead More…
ABSTRACT: Contemporary DevOps strategies for augmenting cloud deployment now emphasize containerization in multi-cloud environments. This approach improves workload portability, scalability, and system resilience. Although interest in this area has grown, no systematicRead More…
ABSTRACT: Dengue fever results from the bite of the Aedes aegypti mosquito, which belongs to the Flaviviridae virus family and includes four serotypes. Infected individuals typically experience a high fever of 40 °CRead More…
ABSTRACT: Every day, massive data volumes emerge from industries, social media, and communication platforms. This complex data—referred to as big data—requires advanced tools for storage, management, and analysis. While traditional approaches struggleRead More…
ABSTRACT: Soft Tissue Tumors (STT) are rare sarcomas that affect muscles, fat, nerves, and connective tissues. Due to their low frequency and heterogeneous appearance on MRI scans, doctors often misidentify them asRead More…
ABSTRACT: Prediction of Educational Data Using Deep learning models, particularly Deep Convolutional Neural Networks (DCNN), plays a vital role in analyzing student feedback and emotions to enhance the quality of education. SentimentRead More…
ABSTRACT: Speech Emotion Recognition (SER) is a key component in modern human-computer interaction systems. It enables machines to understand human emotions through speech, improving the quality of communication and user experience. ThisRead More…
