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Explainable Artificial Intelligence Framework for Real-Time Cyber Threat Detection in Cloud Computing

Cloud computing environments are increasingly targeted by sophisticated cyber threats that require rapid and accurate detection mechanisms. This study proposes an Explainable Artif…

Securing Cloud Database Architectures Using Homomorphic Encryption

Homomorphic encryption allows processing of encrypted data on cloud servers without revealing sensitive raw records. This paper presents a novel schema for securing distributed SQL…

A Multi-Agent System for Dynamic Urban Traffic Regulation

Traffic congestion requires adaptive signal timing. We outline a decentralized multi-agent reinforcement learning algorithm that coordinates green light sequences dynamically.

An Adaptive Anomaly Detection Framework in Software-Defined Networks

SDNs provide centralized traffic monitoring. We formulate an entropy-based threat detection pipeline to isolate distributed denial of service (DDoS) patterns in millisecond bounds.

Natural Language Interface Generation Using Transformers

Translating natural language constraints into execution instructions is complex. We evaluate LLMs rendering SQL structures from user input.

Optimizing Deep Neural Networks via Hybrid Gradient Descent

Training high-parameter models suffers from slow convergence rates. We propose a hybrid optimization technique merging Adam and SGD to accelerate neural training.

Performance Evaluation of NoSQL Graph Databases in Semantic Web Queries

Graph structures are increasingly critical for knowledge representations. This study compares Neo4j and Amazon Neptune executing RDF SPARQL benchmarks.

Blockchain Protocols for Secure Healthcare Information Exchange

Sharing electronic health records requires absolute audit logs. We evaluate permissioned Hyperledger loops providing strict role access to patient profiles.

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