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A deep learning framework for target localization in error-prone environment.

, , , and . Internet Things, (July 2023)

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Bridging the gap: empowering use cases with task models., , and . EICS, page 291-296. ACM, (2010)Analysis of collaborative learning in social network sites used in education., , , and . Soc. Netw. Anal. Min., 5 (1): 65:1-65:18 (2015)Towards a best-effort framework for developing smart mobile applications., , and . IWCMC, page 752-757. IEEE, (2012)A greedy-proof incentive-compatible mechanism for group recruitment in mobile crowd sensing., , , , and . Future Gener. Comput. Syst., (2019)GRS: A Group-Based Recruitment System for Mobile Crowd Sensing., , , , and . J. Netw. Comput. Appl., (2016)Two-sided preferences task matching mechanisms for blockchain-based crowdsourcing., , , , and . J. Netw. Comput. Appl., (2021)A Context-Aware Blockchain-Based Crowdsourcing Framework: Open Challenges and Opportunities., , , and . IEEE Access, (2022)A machine learning-based framework for user recruitment in continuous mobile crowdsensing., , , , and . Ad Hoc Networks, (June 2023)Multiagent Deep Reinforcement Learning With Demonstration Cloning for Target Localization., , , , and . IEEE Internet Things J., 10 (15): 13556-13570 (August 2023)Reinforcement learning framework for UAV-based target localization applications., , , and . Internet Things, (October 2023)