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Federated microservices architecture with blockchain for privacy-preserving and scalable healthcare analytics. [PDF]

Sci Rep
Harshith M, Ansari ZA, Fatima S, Siddiqui S, Swarna S, Reddy DRN, Mohsin SW.   +6 more
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Design of an AI-driven secure 5G-SDN framework with federated reinforcement learning for anomaly detection, mitigation, and attack forensics. [PDF]

Front Artif Intell
Shameli R, Rajkumar S.
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SLICED: A secure and adaptive cloud-iot framework for low-latency e-learning environments. [PDF]

Sci Rep
Aswin K, Shanmugapriya N, Gopi R.
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A quantum-driven multi-objective scheduler for scalable task orchestration in fog-based cyber-physical-social systems. [PDF]

Sci Rep
Hammouda NG, Shalaby M, Alfilh RHC, Singh NSS.   +3 more
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Patient and public involvement in developing and validating an instrument for assessing the scaling potential of innovations in health and social services: A consensus study. [PDF]

PLoS One
de Carvalho Corôa R, Ben Charif A, Uwizeye CB, Lizotte F, Gogovor A, McLean RKD, Milat A, Philibert L, Blair L, Kastner K, Renaud JS, Légaré F.   +11 more
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Bidirectional scalable motion for scalable video coding

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
Motion information scalability is an important requirement for a fully scalable video codec, especially in low bit rate or small resolution decoding scenarios, for which the fully scalable motion model (SMM) has been proposed. SMM can collaborate flawlessly with other scalabilities, such as spatial, temporal and quality, in a scalable video codec.
Hu, Chen, Meng-Ping, Kao, Truong Q, Nguyen   +2 more
openaire   +2 more sources