Search Results - "Boosting Machine Learning Algorithms"

Optimizing Intrusion Detection for DoS, DDoS, and Mirai Attacks Subtypes Using Hierarchical Feature Selection and CatBoost on the CICIoT2023 Dataset by Hajjouz, Abdulkader, Avksentieva, Elena

“…Introduction: Modern networks suffer until unheard of vulnerabilities that need for advanced intrusion detection systems (IDS) given the growing danger…”
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An effective way to incorporate temperature–humidity index to study effect of heat stress on milk yield by an XGBoost machine learning model by Hasan, M.F., Celik, N., Williams, Y., Williams, S.R.O., Marett, L.C.

“…The list of standard abbreviations for JDS is available at adsa.org/jds-abbreviations-24. Nonstandard abbreviations are available in the Notes. Commercial…”
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Data-driven prediction of daily Cryptosporidium river concentrations for water resource management: Use of catchment-averaged vs spatially distributed features in a Bagging-XGBoost model by Smalley, Alan L., Douterelo, Isabel, Chipps, Michael, Shucksmith, James D.

“…Cryptosporidium is a waterborne pathogen which poses a major challenge to water utilities because of its resistance to chlorination and its infectivity at very…”
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Modeling vegetation dynamics in complex topography under impacts of climate change: Integration of spatial clustering and optimized XGBoost by Sokhansefat, Sara, Kanani-Sadat, Yousef, Nasseri, Mohsen

“…Understanding vegetation dynamics under impacts of climate change is essential for assessing ecosystem services, particularly in vulnerable areas. This study…”
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Optimizing swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism by Wu, Xuan, Ren, Ying, Wu, Weilong, Yang, Xu, Yi, Guorong, Zhou, Shunxi, Tang, Kuok Ho Daniel, Huang, Lvwen, Li, Ronghua

“…In this study, machine learning was used to optimize the aerobic composting process of swine manure to enhance nitrogen retention and compost maturity in order…”
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Critical role of vegetation and human activity indicators in the prediction of shallow groundwater quality distribution in Jianghan Plain with LightGBM algorithm and SHAP analysis by Xiong, Hanxiang, Wang, Jinghan, Yang, Chi, Li, Shuyi, Li, Xiaobo, Xiong, Ruihan, Wang, Yuzhou, Ma, Chuanming

“…Groundwater serves as an indispensable resource for freshwater, but its quality has experienced a notable decline over recent decades. Spatial prediction of…”
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How does distraction affect cyclists’ severe crashes? A hybrid CatBoost-SHAP and random parameters binary logit approach by Agheli, Ali, Aghabayk, Kayvan

“…•Analyzed four years (2019–2022) of U.S. CRSS data on distracted cyclist crashes.•A hybrid machine learning and advanced statistical modeling approach was…”
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BoostDILI: Extreme Gradient Boost-Powered Drug-Induced Liver Injury Prediction and Structural Alerts Generation by Chutia, Hillul, Borah, Gori Sankar, Mahanta, Hridoy Jyoti, Nagamani, Selvaraman

“…Over the past 60 years, drug-induced liver injury (DILI) has played a key role in the withdrawal of marketed drugs due to safety concerns. Early prediction of…”
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Comparative analysis of SWAT and SWAT coupled with XGBoost model using Optuna hyperparameter optimization for nutrient simulation: A case study in the Upper Nan River basin, Thailand by Pinichka, Chayut, Chotpantarat, Srilert, Cho, Kyung Hwa, Siriwong, Wattasit

“…Agricultural runoff leading to nitrate (NO3-N) and orthophosphate (PO4-P) contamination poses significant environmental and public health risks. This study…”
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Inversion of soil salinity and pH in farmland of the Hetao Plain based on Sentinel-2 and explainable machine learning by Huang, Hua-Yu, Ding, Qi-Dong, Zhang, Jun-Hua, Pan, Xin, Zhou, Yue-Hui, Jia, Ke-Li

“…The escalating salinization and alkalization of arable soils represents a significant threat to the sustainable development of agriculture and environment. The…”
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Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis by Schindele, Andreas, Krebold, Anne, Heiß, Ursula, Nimptsch, Kerstin, Pfaehler, Elisabeth, Berr, Christina, Bundschuh, Ralph A., Wendler, Thomas, Kertels, Olivia, Tran-Gia, Johannes, Pfob, Christian H., Lapa, Constantin

“…•Train and test an XGBoost model for recurrence prediction of patients suffering from thyroid cancer with high accuracy.•Use SHAP values to identify relevant…”
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Identification of Fusarium sambucinum species complex by surface-enhanced Raman spectroscopy and XGBoost algorithm by Caramês, Elem T.S., de Moraes-Neto, Venancio F., Bertozzi, Bruno G., da Silva, Leandro P., Villa, Javier E.L., Pallone, Juliana A.L., Rocha, Liliana O., Correa, Benedito

“…Rapid and reliable identification of Fusarium fungi is crucial, due to their role in food spoilage and potential toxicity. Traditional identification methods…”
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Integrating multiple feature engineering methods with CatBoost algorithm for the prediction and interpretation of nitrogenous components in bio-oil from biomass pyrolysis by Liu, Xiaorui, Wang, Mingzhu, Yang, Haiping

“…[Display omitted] •A novel framework integrating CatBoost and feature engineering methods was proposed.•Fast pyrolysis enabled higher N content in…”
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Credibility-driven identification of cropland runoff source in surface waters using ANN-XGBoost model ensemble powered by microbial fingerprints by Li, Pengcheng, Dong, Lu, Li, Liping, Xue, Mengzhu, Xia, Guohui, Wang, Kening, Zhang, Xin, Liu, Peng, Zhang, Cheng, Cui, Baoshan, Bai, Junhong, Liu, Xinhui

“…•Five microbial fingerprints for cropland runoff source were identified.•ANN and XGBoost emerged as optimal classifiers using fingerprint data.•An ANN-XGBoost…”
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Relationship between urban form and surface temperature based on XGBoost SHAP interpretable machine learning model by Tan, Jie, Wei, Qian-Jun, Liao, Zhao-Yang, Kuang, Wen-Jun, Deng, Hui-Ting, Yu, De

“…With the increase of high-rise buildings in major cities worldwide, exploring the effects of urban two-dimensional (2D) and three-dimensional (3D) morphology…”
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Integrating AI for infectious disease prediction: A hybrid ANN-XGBoost model for leishmaniasis in Pakistan by Niu, Ben, Qureshi, Humera, Khan, Muhammad Imran, Shah, Adil

“…•A hybrid ANN-XGBoost model was developed to predict leishmaniasis incidence in four high-endemic districts of KP, Pakistan.•The model outperformed traditional…”
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Geographical origin identification of sweet cherry based on quality traits combined with DD-SIMCA and XGBoost by Wu, Linxia, Liu, Ziye, Wang, Meng

“…Geographical origin identification technologies based on physical and nutritional characteristics have recently been developed and applied. This study…”
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Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization by Uppalapati, Sudhakar, Paramasivam, Prabhu, Kilari, Naveen, Chohan, Jasgurpreet Singh, Kanti, Praveen Kumar, Vemanaboina, Harinadh, Dabelo, Leliso Hobicho, Gupta, Rupesh

“…Waste-to-energy conversion via pyrolysis has attracted increasing attention recently owing to its multiple uses. Among the products of this process, biochar…”
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Improving brain-computer interface performance with optimized frequency interaction and enhancement techniques: CFC-PSO-XGBoost (CPX) by Xiao, Xiao, Li, Haoyue

“…•Leveraged Cross-Frequency Coupling (CFC) for enhanced MI-BCI classification.•Phase-Amplitude Coupling (PAC) extracted CFC features from spontaneous…”
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Using XGBoost and memetic programming to identify hotspots of sediment plastic pollution by Shiwomeh, Desmond N., Kantoush, Sameh A., Saber, Mohamed, Sumi, Tetsuya, Fantong, Wilson Y., Quang Nguyen, Binh, Abdrabo, Karim I., Mabrouk, Emad

“…Despite growing global initiatives on sustainable plastic management, less than 10 % of plastic waste is effectively recycled, resulting in widespread…”
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