[HTML][HTML] Data-driven cervical cancer prediction model with outlier detection and over-sampling methods
Globally, cervical cancer remains as the foremost prevailing cancer in females. Hence, it is
necessary to distinguish the importance of risk factors of cervical cancer to classify potential …
necessary to distinguish the importance of risk factors of cervical cancer to classify potential …
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization
R Shi, X Xu, J Li, Y Li - Applied Soft Computing, 2021 - Elsevier
Accurate train arrival delay prediction is critical for real-time train dispatching and for the
improvement of the transportation service. This study proposes a data-driven method that …
improvement of the transportation service. This study proposes a data-driven method that …
A review of naturalistic driving study surrogates and surrogate indicator viability within the context of different road geometries
Advancements in data collection and processing methods have produced large databases
containing high quality vehicular data. Despite this, conventional vehicle-vehicle collisions …
containing high quality vehicular data. Despite this, conventional vehicle-vehicle collisions …
A review of incident prediction, resource allocation, and dispatch models for emergency management
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …
algorithmic approaches for designing and improving emergency response management …
Development of disease prediction model based on ensemble learning approach for diabetes and hypertension
Early diseases prediction plays an important role for improving healthcare quality and can
help individuals avoid dangerous health situations before it is too late. This paper proposes …
help individuals avoid dangerous health situations before it is too late. This paper proposes …
An integrated lane change prediction model incorporating traffic context based on trajectory data
Predicting lane change maneuvers is critical for autonomous vehicles and traffic
management as lane change may cause conflict in traffic flow. Most existing studies do not …
management as lane change may cause conflict in traffic flow. Most existing studies do not …
A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles
Y Zhang, Y Chen, X Gu, NN Sze, J Huang - Accident Analysis & Prevention, 2023 - Elsevier
Driving style may have an important effect on traffic safety. Proactive crash risk prediction for
lane-changing behaviors incorporating individual driving styles can help drivers make safe …
lane-changing behaviors incorporating individual driving styles can help drivers make safe …
[HTML][HTML] A machine learning method for classification of cervical cancer
Cervical cancer is one of the leading causes of premature mortality among women
worldwide and more than 85% of these deaths are in developing countries. There are …
worldwide and more than 85% of these deaths are in developing countries. There are …
Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment
In a mixed traffic environment, the connected vehicle platoon cannot communicate and
collaborate with the surrounding vehicles. In this case, there is a high risk of collision in large …
collaborate with the surrounding vehicles. In this case, there is a high risk of collision in large …
A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations
The vehicle platoon will be the most dominant driving mode on future roads. To the best of
our knowledge, few reinforcement learning (RL) algorithms have been applied in vehicle …
our knowledge, few reinforcement learning (RL) algorithms have been applied in vehicle …