Cloud computing

A hybrid machine learning recommendation system for interior design services balances customization with cost constraints, achieving 83.62% accuracy in predicting user preferences.

Study presents Replay-as-a-Service technique to reduce tail latency in storage-disaggregated OLTP databases by decoupling log replay from storage engine, achieving 40% latency reduction.

AI-driven hybrid architecture for multi-cloud storage using telemetry-guided dynamic fragmentation, encryption, and distributed trust to resist data reconstruction attacks and provider breaches.

Enhanced optimization algorithm for cloud load balancing achieves 25% improvement in resource utilization and outperforms standard metaheuristic approaches in benchmark testing.

Study identifies which Industry 4.0 technologies—AI, blockchain, IoT, and others—work best at each stage of food supply chains for minimizing losses and waste globally.

Framework for VM consolidation combining workload prediction and physics-constrained reinforcement learning. Achieves 23.2% energy reduction and 43.5% SLA violation reduction in cloud datacenters.

Deep reinforcement learning framework for adaptive task scheduling in edge-cloud computing with improved SLA compliance, reduced operational costs, and lower task rejection rates.

Adaptive BPM system for SMEs integrates machine learning and serverless architecture with cybersecurity, reducing operational costs by 25-30% and improving adaptability by 35-40% in developing.

AGENT framework improves task allocation in cloud systems using elitism-guided genetic algorithm with adaptive parameters, achieving 3-29% makespan improvements for heterogeneous VM scheduling.

Lightweight on-device vision-language model generating HTML from design mockups without cloud infrastructure, supporting private prototyping with 235M parameters achieving competitive results.

Prompt-driven framework combining LLMs with knowledge graphs for reliable knowledge-based question answering through structured subgraph retrieval and stepwise reasoning validation.

Cloud-native ERM framework for multi-sector operations using microservices, cloud data management, and real-time analytics to enhance scalability, responsiveness, and cross-sector coordination.