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Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty., , , and . BigData Congress, page 677-680. IEEE Computer Society, (2015)Observing gender dynamics and disparities with mobile phone metadata., , and . ICTD, page 48. ACM, (2016)Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty., and . AAAI, page 606-613. AAAI Press, (2019)Machine Learning for the Developing World using Mobile Communication Metadata.. University of California, Berkeley, USA, (2018)base-search.net (ftcdlib:qt84n4r63x).Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries., and . KDD, page 145-154. ACM, (2016)A new CoAP congestion control scheme considering strong and weak RTT for IoUT., , , and . SAC, page 2158-2162. ACM, (2020)Enhanced Semi-persistent scheduling (e-SPS) for Aperiodic Traffic in NR-V2X., , , , , and . ICAIIC, page 171-175. IEEE, (2022)Deep Learning in Semantic Segmentation of Rust in Images., , , , , and . ICSCA, page 129-132. ACM, (2020)Rogue Device Mitigation in the Internet of Things: A Blockchain-Based Access Control Approach., , , , and . Mob. Inf. Syst., (2020)Mitigating Interference and Energy Issues in Smart Homes Using Internet of Things., , and . WCNC Workshops, page 1-6. IEEE, (2020)