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Towards an integrated swarm intelligence framework for urban mobility:A systematic review and proposed theoretical model., , , , и . J. King Saud Univ. Comput. Inf. Sci., 35 (10): 101836 (декабря 2023)High-Level Context Inference for Human Behavior Identification., , , , , , , и . IWAAL, том 9455 из Lecture Notes in Computer Science, стр. 164-175. Springer, (2015)An Ontology for Dynamic Sensor Selection in Wearable Activity Recognition., , , и . IWBBIO (2), том 9044 из Lecture Notes in Computer Science, стр. 141-152. Springer, (2015)mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications., , , , , , , и . IWAAL, том 8868 из Lecture Notes in Computer Science, стр. 91-98. Springer, (2014)Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review., , , , , и . IWANN (2), том 14135 из Lecture Notes in Computer Science, стр. 254-265. Springer, (2023)Ontological modeling of motivational messages for physical activity coaching., , , , , , , и . PervasiveHealth, стр. 355-364. ACM, (2017)Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning., , , , , , и . Neural Process. Lett., 53 (5): 3169-3197 (2021)Dynamic Formation of Business Networks: A Framework for 'Quality of Information'-Based Discovery of Resources., , и . Int. J. Appl. Logist., 2 (4): 44-60 (2011)MIMU-Wear: Ontology-based sensor selection for real-world wearable activity recognition., , , и . Neurocomputing, (2017)A Deep Transfer Learning Approach to Support Opportunistic Wearable Activity Recognition., , , , и . IWANN (1), том 14134 из Lecture Notes in Computer Science, стр. 473-482. Springer, (2023)