Results 121 to 130 of about 126,268 (270)

Perbandingan Metode Klasifikasi Support Vector Machine dan Extreme Gradient Boosting pada Klasifikasi Sentimen Aplikasi Paylater

Perkembangan financial technology (fintech) di Indo-nesia sangat pesat. Salah satu dari perkembangan fintech ada-lah sistem Buy Now-Pay Later atau yang biasa disebut paylater merupakan pembayaran yang ditunda, dengan kata lain sese-orang dapat membeli ...
Soehardjoepri, Soehardjoepri; Departemen Aktuaria, Institut Teknologi Sepuluh Nopember (ITS), Zahrah, Salma Fitria Fatimatuz; Departemen Aktuaria, Institut Teknologi Sepuluh Nopember (ITS)   +1 more
core   +2 more sources

XGBoost (eXtreme Gradient Boosting) Can Predict Organisms Growing in Urine Culture from the Emergency Department. [PDF]

West J Emerg Med
Sheele JM, Campbell RL, Jones DD.
europepmc   +1 more source

Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction

Technological forecasting & social change
Zhenkun Liu, Ping Jiang, Koen W. De Bock, Jianzhou Wang, Lifang Zhang, X. Niu   +5 more
semanticscholar   +1 more source

Exploiting Temperature Effects for Robust Control and Reference Circuits Using Thin‐Film Contact‐Controlled Transistors

Advanced Electronic Materials, EarlyView.
Compact circuits based on contact‐controlled transistors are well‐suited to unsupervised thermal management, sensitive temperature measurement, or temperature‐stable current references. Demonstrated on flexible microcrystalline silicon and supported by simulation, the approach does not require supply voltage regulation, remains manufacturable across ...
Eva Bestelink, Jean‐Charles Fustec, Olivier de Sagazan, Rogier Fransen, George Bairaktatis, Emmanuel Jacques, Radu A. Sporea   +6 more
wiley   +1 more source

A hybrid grey wolf optimized eXtreme gradient boosting-based machine learning model for hospital pharmaceutical demand forecasting. [PDF]

Sci Rep
Samniang W, Shah SMT, Tun YM, Munawar A, K C S.   +4 more
europepmc   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

DepXGBoot: Depression detection using a robust tuned extreme gradient boosting model generator

In terms of severity and prevalence, depression is the worst. Suicide rates have risen because of this and are on the rise universally. Consequently, effective diagnosis and therapy must reduce the impact of depression.
Agarwal, Pooja, Ananthanagu, U.
core   +2 more sources

Development and evaluation of an effective solubility prediction model for pharmaceuticals in organic solvents using machine learning based on eXtreme Gradient Boosting. [PDF]

Sci Rep
Valavi M, Assareh M, Khoshsima A, Svärd M.   +3 more
europepmc   +1 more source

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting. [PDF]

Front Artif Intell, 2023
Bakasa W, Viriri S.
europepmc   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source