Results 51 to 60 of about 7,680 (217)

Analisis Performa Model Random Forest dan CatBoost dengan Teknik SMOTE dalam Prediksi Risiko Diabetes

Edumatic
Diabetes mellitus (DM) is increasing in prevalence globally and is becoming a serious health problem. Early detection reduces long-term complications.
Rony Irfannandhy, Lekso Budi Handoko, Noval Ariyanto   +2 more
doaj   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Comprehensive Diabetes Risk Prediction Using BRFSS Data: Performance, Explainability, Fairness, and Calibration

Journal of Applied Informatics and Computing
This study aims to develop and evaluate machine learning models for diabetes risk prediction using a comprehensive approach that considers performance, interpretability, fairness, and calibration aspects.
Virzan Pasa Nugraha, Agung Febrian
doaj   +1 more source

Predicting education building occupants’ thermal sensation through CatBoost-DF algorithm

Applied Artificial Intelligence, 2023
A novel machine learning method, named CatBoost-DF (CatBoost deep forest), is proposed to solve this existing problem of low accuracy and lack of practicality in thermal sensation prediction.
Jianji Ren, Yuming Liu, Yongliang Yuan, Haiyan Yan, Haiqing Liu   +4 more
doaj   +1 more source

Prediction of Lung Cancer Based on Catboost

Highlights in Science, Engineering and Technology
This research aims to provide guidance for achieving precision medicine by accurately predicting the incidence of lung cancer. This paper used random forest screening to identify several variables that make significant influences on the lung cancer, and used Smote oversampling to address the issue of data imbalance. Finally, this paper used Catboost to
Leqi Ma, Yimeng Lu, Yiduo Liu
openaire   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Strategies for Identification and Mitigation of Sanguinarine in Mustard Oil Adulterated by Argemone—A Comprehensive Review

Food Chemistry International, EarlyView.
Sanguinarine, a toxic alkaloid present in argemone, can lead to epidemic dropsy or chronic diseases through DNA intercalation and immune system suppression. Regulatory efforts face challenges due to economic motivations for adulteration as well as technical, social, and infrastructure barriers.
Gururaj Pejavara Narayana, Subhangi Panigrahi, Suresh Kumar Kalakandan, Hema Vincent, Ashish Rawson   +4 more
wiley   +1 more source

An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China

Meitian dizhi yu kantan
ObjectiveLithology identification lays the foundation for fine-scale reservoir evaluation. However, traditional identification methods generally utilize the interactive relationships between only 2‒3 logging parameters, suffering from low utilization ...
Ming CAI, Qingwen ZHOU, Cong YANG, Feng CHEN, Dong WU, Wang LIN, Chengguang ZHANG, Yuanjun ZHANG, Yuxin MIAO   +8 more
doaj   +1 more source

Majorbio Cloud 2026 Update: An End‐to‐End Solution for Proteomics Research

iMetaMed, EarlyView.
The recent upgrade of Majorbio Cloud facilitates a more streamlined and accurate research process, aiding researchers across the various proteomics subfields. Furthermore, it propels the advancement of multi‐layered, multi‐omics scientific investigations centered around proteins.
Caiping Shi, Chang Han, Jichen Han, Bing Yang, Yachen Dong, Jianhua Zhao, Binxu Liu, Rundong Fang, Wenyao Fu, Jiawen Ma, Meng Luo, Lixing Feng, Yitong Feng, Huimin Cui, Mengxi Li, Huasheng Huang, Xianglin Zhang, Kegang Yu   +17 more
wiley   +1 more source

Earthquake Time Prediction using CatBoost and SVR

International Journal of Innovative Technology and Exploring Engineering, 2019
Seismic tremors everywhere throughout the globe have been a noteworthy reason for decimation and death toll and property. The following context expects to recognize earthquakes at a beginning time utilizing AI. This will help individuals and salvage groups to make their errand simpler.
Sahaya Sakila*, Sanyam Garg, Tanay Yeole, Hrithik Yadav   +3 more
openaire   +1 more source