Results 1 to 10 of about 95,580 (120)
Classification of UNSW-NB15 dataset using Exploratory Data Analysis using Ensemble Learning [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2021 Recent advancements in machine learning have made it a tool of choice for different classification and analytical problems. This paper deals with a critical field of computer networking: network security and the possibilities of machine ...
Neha Sharma +2 more
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Czech Journal of Animal Science, 2022 The aim of this study was to determine the best non-linear function describing the growth of the Linda goose breed. To achieve this aim, five non-linear functions, such as exponential, logistic, von Bertalanffy, Brody and Gompertz, were employed to ...
Cem Tirink +3 more
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Prediction Method of Aircraft Dynamic Taxi Time Based on XGBoost
Hangkong gongcheng jinzhan, 2022 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
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Application of Bayesian optimized XGBoost in seismic interpretation of small-scale faults
Meitan xuebao, 2023 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
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Machine Learning XGBoost Method for Detecting Mangrove Cover Using Unmanned Aerial Vehicle Imagery
Jambura Geoscience Review, 2023 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
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Journal of Hydroinformatics, 2023 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
Life, 2022 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
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Effect of time-variant NDVI on landside susceptibility: A case study in Quang Ngai province, Vietnam
Open Geosciences, 2023 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
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Medicine Science, 2023 Ovarian cancer is one of the most common types of gynecological malignancies with its high mortality rate, silent and occult tumor growth, late onset of symptoms and diagnosis in advanced stages.
Onural Ozhan +2 more
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Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features. [PDF]
, 2019 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
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