1.5k citations
- Tohoku UniversityJP89 papers
- RIKEN Nishina CenterJP64 papers
- The University of TokyoJP55 papers
- University at Buffalo, State University of New YorkUS35 papers
- Rensselaer Polytechnic InstituteUS32 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di MilanoIT30 papers
- University of MilanIT28 papers
- RIKENJP25 papers
- Centre National de la Recherche ScientifiqueFR21 papers
- Japan Science and Technology AgencyJP20 papers
- Kyoto UniversityJP19 papers
- Michigan State UniversityUS17 papers
357 papers
Modulating Retroreflector-Aided UAV-Based FSO/QKD Systems
Duy N. Luong, Duy-Tuan Dao, Cuong T. Nguyen +2
Unmanned aerial vehicles (UAVs)-based free-space optics (FSO)/quantum key distribution (QKD) systems require high-precision pointing mechanisms. This increases system complexity an…
Key Reconciliation with RC-LDPC/Error Estimation for Satellite-based FSO/QKD Systems
Cuong T. Nguyen, Hoang D. Le, Anshul Jaiswal +2
Satellite-based free-space optics (FSO) quantum key distribution (QKD) systems have recently attracted significant research interest due to their potential to enable globally secur…
PermitGPT: A Unified Generative-AI Pipeline for Construction Hazard Forecasting, Permit Prediction, and Community Impact
Mohd Ruhul Ameen, Farjana Aktar, Akif Islam +3
Urban construction governance requires early decisions that connect workplace safety, permitting requirements, and community impact, yet the relevant evidence is often scattered ac…
Quantum Blackhole Learning-Optimized Hadamard Neural Network Model for Dynamic Resource Reservation in Industry Clouds
Deepika Saxena, Hari Mohan Gaur, Ashutosh Kumar Singh +1
Accurate workload prediction and proactive resource reservation are crucial for industry clouds. However, the conventional machine learning (CML) models with limited learning capab…
REE-TM: Reliable and Energy-Efficient Traffic Management Model for Diverse Cloud Workloads
Ashutosh Kumar Singh, Deepika Saxena, Volker Lindenstruth
Diversity of workload demands lays a critical impact on efficient resource allocation and management of cloud services. The existing literature has either weakly considered or over…
An Oversubscription and Service Pricing Exploitation-Based Profit Maximization Framework for Industry Cloud Resource Management
Deepika Saxena, Ashutosh Kumar Singh
This article proposed a novel industry cloud resource management framework that exploits resource oversubscription and heterogeneous service pricing models to maximize profitabilit…