AIMC Topic: Travel

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Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data.

Scientific reports Sep 21, 2022
Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people's frequent travel purposes. However, labor-intensive engineering work is ofte...
Humans Algorithms Bayes Theorem Travel Neural Networks, Computer Machine Learning
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Design of Travel Route Identification and Scheduling System Based on Artificial Intelligence-Aided Image Segmentation.

Computational intelligence and neuroscience Jul 4, 2022
This study designs a travel recognition and scheduling system using artificial intelligence and image segmentation techniques. To address the problem of low division quality of current point division algorithms, this study proposes a streaming graph ...
Artificial Intelligence Algorithms Reinforcement, Psychology Travel
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Construction of Tourism E-Commerce Platform Based on Artificial Intelligence Algorithm.

Computational intelligence and neuroscience Jun 10, 2022
In the late twentieth century, with the rapid development of the Internet, e-commerce has emerged rapidly, which has changed the way people travel around the world. The greatest advantages of e-commerce are the flow of information and data and the im...
Humans Artificial Intelligence Data Analysis Travel Commerce Tourism
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An Intelligent Recommendation Method for Tourist Attractions Based on Deep Learning.

Computational intelligence and neuroscience May 18, 2022
Tourists are the people who can be seen all over the world. Therefore, this has increased the demand for product supply in tourist locations. Technological development would be the only solution to solve those issues related to the demand and supply ...
Cell Phone Algorithms Male Bayes Theorem Humans Travel Deep Learning
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Multitask Learning with Graph Neural Network for Travel Time Estimation.

Computational intelligence and neuroscience Mar 28, 2022
Travel time estimation (TTE) is widely applied for ride dispatching, ride-hailing, and route navigation. Even for a given trajectory, the travel time is affected by many spatial-temporal factors, including static ones such as distance, road type, and...
Automobiles Travel Neural Networks, Computer
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Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data.

Computational and mathematical methods in medicine Nov 30, 2021
The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstra...
Machine Learning Seasons Decision Trees Humans Data Mining Geographic Information Systems Social Media China Spatio-Temporal Analysis Cities Social Networking Big Data Travel Computational Biology
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Efficient and targeted COVID-19 border testing via reinforcement learning.

Nature Sep 22, 2021
Throughout the coronavirus disease 2019 (COVID-19) pandemic, countries have relied on a variety of ad hoc border control protocols to allow for non-essential travel while safeguarding public health, from quarantining all travellers to restricting ent...
Travel Travel Medicine COVID-19 Public Health Carrier State Greece Prevalence Humans Machine Learning
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A Comparative Performance Analysis of Computational Intelligence Techniques to Solve the Asymmetric Travelling Salesman Problem.

Computational intelligence and neuroscience Apr 17, 2021
This paper presents a comparative performance analysis of some metaheuristics such as the African Buffalo Optimization algorithm (ABO), Improved Extremal Optimization (IEO), Model-Induced Max-Min Ant Colony Optimization (MIMM-ACO), Max-Min Ant System...
Algorithms Artificial Intelligence Travel
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Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots.

International journal of environmental research and public health Aug 28, 2020
Low-carbon tourism is an effective solution to cope with the goal conflict between developing tourist economy and responding to carbon emission reduction and ecological environment protection. Tourism scenic spots are important carriers of tourist ac...
Humans China Fuzzy Logic Carbon Footprint Carbon Environment Leisure Activities Decision Making Travel Models, Theoretical
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Predicting dengue importation into Europe, using machine learning and model-agnostic methods.

Scientific reports Jun 16, 2020
The geographical spread of dengue is a global public health concern. This is largely mediated by the importation of dengue from endemic to non-endemic areas via the increasing connectivity of the global air transport network. The dynamic nature and i...
Travel Dengue ROC Curve Algorithms Humans Aircraft Models, Statistical Europe Forecasting Machine Learning Epidemics
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