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An hourly day-ahead Paris Metro Pricing scheme for mobile data networks.

, , , , and . APNOMS, page 268-272. IEEE, (2015)

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Charging models for M2M communications., , , and . APNOMS, page 1-6. IEEE, (2016)Building a CDR analytics platform for real-time services., , , , , and . APNOMS, page 1-5. IEEE, (2014)A Simple Deep Q-Network based Feature Selection Method., , , , and . APWCS, page 1-4. IEEE, (2023)The improvement of auto-scaling mechanism for distributed database - A case study for MongoDB., , , , and . APNOMS, page 1-3. IEEE, (2013)A Tool for Defining Charging Models for M2M Communications., , , , , and . ICIOT, page 104-109. IEEE Computer Society, (2018)Identification and analysis of charging factors in M2M communications., , , , and . WF-IoT, page 160-165. IEEE Computer Society, (2015)A study on shared and non-shared billing for mobile service., , , , , and . APNOMS, page 483-486. IEEE, (2015)An hourly day-ahead Paris Metro Pricing scheme for mobile data networks., , , , and . APNOMS, page 268-272. IEEE, (2015)A comparison of 4G telecommunications tariff plans in Asia countries., , , , , , , and . APNOMS, page 1-6. IEEE, (2014)Time-Dependent Smart Data Pricing Based on Machine Learning., , , , , , and . Canadian AI, volume 10233 of Lecture Notes in Computer Science, page 103-108. (2017)