[HTML][HTML] How machine learning informs ride-hailing services: A survey
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …
urban transportation system, which not only provide significant ease for residents' travel …
From blackbox to explainable AI in healthcare: existing tools and case studies
Introduction. Artificial intelligence (AI) models have been employed to automate decision‐
making, from commerce to more critical fields directly affecting human lives, including …
making, from commerce to more critical fields directly affecting human lives, including …
A comparative study of machine learning algorithms for the prediction of compressive strength of rice husk ash-based concrete
A Bassi, A Manchanda, R Singh, M Patel - Natural Hazards, 2023 - Springer
The cementitious behavior of Rice Husk Ash (RHA) has caused its possible addition as a
replacement material for cement which has been proven to influence the strength of …
replacement material for cement which has been proven to influence the strength of …
Predicting demand for air taxi urban aviation services using machine learning algorithms
S Rajendran, S Srinivas, T Grimshaw - Journal of Air Transport …, 2021 - Elsevier
This research focuses on predicting the demand for air taxi urban air mobility (UAM) services
during different times of the day in various geographic regions of New York City using …
during different times of the day in various geographic regions of New York City using …
[HTML][HTML] A fundamental diagram based hybrid framework for traffic flow estimation and prediction by combining a Markovian model with deep learning
Accurate traffic congestion estimation and prediction are critical building blocks for smart trip
planning and rerouting decisions in transportation systems. Over the decades, there have …
planning and rerouting decisions in transportation systems. Over the decades, there have …
Mechanical properties of cemented tailings and waste-rock backfill (CTWB) materials: Laboratory tests and deep learning modeling
S Yin, Z Yan, X Chen, R Yan, D Chen, J Chen - Construction and Building …, 2023 - Elsevier
Cemented tailings and waste-rock backfill (CTWB) is an effective way to solve the problem of
mine solid waste. Waste-rock content is an important factor affecting UCS, but fully …
mine solid waste. Waste-rock content is an important factor affecting UCS, but fully …
A deep learning approach for port congestion estimation and prediction
This study proposes high-frequency container port congestion measures based on
Automatic Identification System (AIS) data. Vessel movement information of 3,957 container …
Automatic Identification System (AIS) data. Vessel movement information of 3,957 container …
Optimization of spatial-temporal graph: A taxi demand forecasting model based on spatial-temporal tree
Taxi is one of the important means of transportation for people's daily travel activities, and it
is one of the important research objects of intelligent transportation system. Taxi demand …
is one of the important research objects of intelligent transportation system. Taxi demand …
Efficient and explainable ship selection planning in port state control
Port state control is the safeguard of maritime transport achieved by inspecting foreign
visiting ships and supervising them to rectify the non-compliances detected. One key issue …
visiting ships and supervising them to rectify the non-compliances detected. One key issue …
Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms
Building an accurate model of travel behaviour based on individuals' characteristics and
built environment attributes is of importance for policy-making and transportation planning …
built environment attributes is of importance for policy-making and transportation planning …