Results 171 to 180 of about 91,735 (266)

Detecting Parkinson's Disease Using XGBoost

International Journal of Science and Research (IJSR), 2023
openaire   +1 more source

Malware Executables Detection Using XGBOOST

International Journal for Research in Applied Science and Engineering Technology
Abstract: Malicious software, called malware, is a big problem for computers. It can steal information, cause financial losses, and more. We came up with a new way to find malware using a smart computer program called XGBoost. XGBoost is good at solving problems with computers. We used it to tell if a computer program is malware or not.
openaire   +1 more source

Detection of focal impaired awareness seizures using a biometric shirt

Epilepsia Open, EarlyView.
Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean, Oumayma Gharbi, Dènahin Hinnoutondji Toffa, Thi Phuoc Yen Tran, Manon Robert, Dang Khoa Nguyen, Elie Bou Assi   +6 more
wiley   +1 more source

Hybrid CFD and machine learning analysis of CO₂ enhanced oil recovery in naturally fractured reservoirs. [PDF]

Sci Rep
Asim T, Ur Rahman K, Kukha Hawez H, Mishra R.   +3 more
europepmc   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

A study on energy consumption analysis and prediction of electric bus at intersections considering driving behavior. [PDF]

Sci Rep
Lyu A, Zhang H, Zhang Y, Li C, Chen Y.
europepmc   +1 more source

A Comprehensive Review of Biotechnological Innovations in Valorization of Food Waste: Enhancing Nutritional, Techno‐Functional Properties, and Process Optimization for Sustainable Product Development

Food Frontiers, EarlyView.
This review highlights recent biotechnological innovations in the valorization of food waste through enzyme‐assisted processing and microbial fermentation to enhance nutritional, techno‐functional, and shelf‐stable properties for developing sustainable, plant‐based functional foods and nutraceuticals.
Md. Sakhawot Hossain, Md Abdul Wazed, Mst. Sultana Akhter Preya, Zakia Sultana, Md. Mostafa Kamal, Tanvir Ahmad, Islam Md Shimul   +6 more
wiley   +1 more source

Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting

Journal of Forecasting, EarlyView.
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang, Justin Deng, Lih‐Yuan Deng, Henry Horng‐Shing Lu   +3 more
wiley   +1 more source

An ultrasound-based machine learning model for predicting pelvic adhesions: A SHAP-enhanced XGBoost approach. [PDF]

Digit Health
Huang Y, Su S, Chen J, Zhang X, Tan K, Guo Q.   +5 more
europepmc   +1 more source

Research progress on the use of the optical coherence tomography system for the diagnosis and treatment of central nervous system tumors

Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li, Ziba Ayi, Gonggong Lu, Haibo Rao, Feilong Yang, Jing Li, Jiachen Sun, Junlin Lu, Xulin Hu, Si Zhang, Xuhui Hui   +10 more
wiley   +1 more source