Spatio Temporal Tourism Tracking System Based on Adaptive Convolutional Neural Network

Author:

Maria Michael Visuwasam L.,Paul Raj D.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Reference15 articles.

1. LSTM-based deep learning model for predicting individual mobility traces of short-term foreign tourists;Crivellari;Sustainability,2020

2. Mining trips from location-based social networks for clustering travelers and destinations;Linus;Information Technology & Tourism,2020

3. Mobile market research applications as a new voice of customer method: Implications for innovation and design management;Green;Research-Technology Management,2020

4. Mitigating bias in big data for transportation;Griffin;Journal of Big Data Analytics in Transportation,2020

5. An extensive study on the evolution of context-aware personalized travel recommender systems;Renjith;Information Processing & Management,2020

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5. Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

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