Prediction Method of Aircraft Dynamic Taxi Time Based on XGBoost
Accurate and dynamic prediction of aircraft arrival and departure taxi time can effectively improve the operation efficiency of the airport. An aircraft dynamic taxi time prediction method based on XGBoost is proposed for the first time.
ZHAO Zheng +4 more
doaj +1 more source
Prediction of hearing preservation after acoustic neuroma surgery based on SMOTE-XGBoost
Prior to the surgical removal of an acoustic neuroma, the majority of patients anticipate that their hearing will be preserved to the greatest possible extent following surgery.
Cenyi Yang
doaj +1 more source
Application of Bayesian optimized XGBoost in seismic interpretation of small-scale faults
In order to further improve the identification accuracy of small-scale faults in seismic interpretation, Bayesian optimized extreme gradient boosting (XGBoost) model was constructed to recognize small-scale faults across coalbeds using reduced seismic ...
Changwei DING +3 more
doaj +1 more source
Convolutional XGBoost (C-XGBOOST) Model for Brain Tumor Detection
Brain tumors are masses or abnormal growths of cells within the brain or the central spinal canal with symptoms such as headaches, seizures, weakness or numbness in the arms or legs, changes in personality or behaviour, nausea, vomiting, vision or hearing problems and dizziness.
Babayomi, Muyiwa +2 more
openaire +2 more sources
Machine Learning XGBoost Method for Detecting Mangrove Cover Using Unmanned Aerial Vehicle Imagery
The mangrove ecosystem can be understood as a unique and different type of ecosystem that can benefit the surrounding ecosystem from the socio-economic and ecological perspective.
Minati Minati +2 more
doaj +1 more source
A screened predictive model for esophageal squamous cell carcinoma based on salivary flora data
Esophageal squamous cell carcinoma (ESCC) is a malignant tumor of the digestive system in the esophageal squamous epithelium. Many studies have linked esophageal cancer (EC) to the imbalance of oral microecology. In this work, different machine learning (
Yunxiang Meng +3 more
doaj +1 more source
In contrast to the traditional black box machine learning model, the white box model can achieve higher prediction accuracy and accurately evaluate and explain the prediction results.
Tiexiang Mo, Shanshan Li, Guodong Li
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PRIP: A Protein-RNA Interface Predictor Based on Semantics of Sequences
RNA–protein interactions play an indispensable role in many biological processes. Growing evidence has indicated that aberration of the RNA–protein interaction is associated with many serious human diseases. The precise and quick detection of RNA–protein
You Li +4 more
doaj +1 more source
Effect of time-variant NDVI on landside susceptibility: A case study in Quang Ngai province, Vietnam
Normalized difference vegetation index (NDVI) is a conditioning factor that significantly affects slope stabilization, as the low vegetation coverage can create conducive conditions for landslide occurrence. In previous studies, NDVI was often calculated
Doan Viet Long +4 more
doaj +1 more source
Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features. [PDF]
Empirical evidence suggests that the malaria parasite Plasmodium falciparum employs a broad range of mechanisms to regulate gene transcription throughout the organism's complex life cycle.
Cook, Kate +4 more
core +2 more sources

