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Empirical analysis of different hierarchical addressing deployments.

, , , , and . APCC, page 208-213. IEEE, (2013)

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Empirical analysis of different hierarchical addressing deployments., , , , and . APCC, page 208-213. IEEE, (2013)A novel host mobility support method in IPv4/IPv6 network of RANGI architecture., , , , and . FSKD, page 2083-2087. IEEE, (2012)A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning., , , , and . Appl. Soft Comput., (2019)Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles., , , , , , and . CoRR, (2017)Cross-Domain Contrastive Learning for Time Series Clustering., , , , and . AAAI, page 8921-8929. AAAI Press, (2024)MetricRec: Metric Learning for Cold-Start Recommendations., , , , , , and . ADMA, volume 10086 of Lecture Notes in Computer Science, page 445-458. (2016)Towards Release Strategy Optimization for Apps in Google Play., , , and . Internetware, page 1:1-1:10. ACM, (2017)PRADA: prioritizing android devices for apps by mining large-scale usage data., , , , , , , and . ICSE, page 3-13. ACM, (2016)Mining usage data from large-scale Android users: challenges and opportunities., , , , , , , and . MOBILESoft, page 301-302. ACM, (2016)A new method in the construction of two-level supersaturated designs, and . Journal of Statistical Planning and Inference, 86 (1): 229--238 (Apr 15, 2000)