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Bike share travel time modeling: San Francisco bay area case study., , , , и . MT-ITS, стр. 586-591. IEEE, (2017)Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis., , , , , и . Int. J. Web Serv. Res., 21 (1): 1-22 (2024)Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data., , , , , и . Remote. Sens., 12 (21): 3508 (2020)Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data., и . ACR, том 700 из Lecture Notes in Networks and Systems, стр. 605-616. Springer, (2023)Network-wide bike availability clustering using the college admission algorithm: A case study of San Francisco Bay area., , , , и . MT-ITS, стр. 580-585. IEEE, (2017)Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains., , , , и . IEEE Trans. Intell. Transp. Syst., 20 (1): 244-252 (2019)Modeling bike counts in a bike-sharing system considering the effect of weather conditions., , и . CoRR, (2020)Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results., , , , , , и . CoRR, (2020)Effect of roundabout design on the behavior of road users: A case study of roundabouts with application of Unsupervised Machine Learning., , и . CoRR, (2023)IoT-Enhanced Malicious URL Detection Using Machine Learning., , , , , и . AINA (5), том 203 из Lecture Notes on Data Engineering and Communications Technologies, стр. 470-482. Springer, (2024)