Results 71 to 80 of about 72,345 (262)

Real Estate Appraisal Performance Improvement by Adapting a Hybrid Model: Geographically Weighted Regression and Extreme Gradient Boosting in Al Bireh, Palestine

International Journal of Technology
Real estate appraisal functions as a decision support system in pivotal financial, economic, and business processes, encompassing buying and selling houses, property tax, bank lending, and insurance companies.
Jamal A.A. Numan, Izham Mohamad Yusoff
doaj   +1 more source

DMGutierrezz/XGB_globaldef_2023: XGBoost global deforestation analysis code

<p>This code allows you to run a series of XGBoost models with random parameter settings using a 10-fold adaptive resampling procedure with Root Mean Square Error (RMSE) as the evaluation criterion.</p ...
DMGutierrezz
core   +1 more source

Evaluation metrics—XGBoost, SVM, RF, and GAM.

, 2020
Evaluation metrics—XGBoost, SVM, RF, and GAM.
Yuepeng Song (410775), Qing Fang (254280), Xiao-Yu Zhang (738362), Ziyuan Huang (4092580), Andrew Siu (8436678), Xuehui Su (8436675), Deqiang Zhang (12410)   +6 more
core   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Calcineurin‐Dependent Stress Adaptation Enables Caspofungin Heteroresistance Leading to Stable Resistance in Candida Glabrata

Advanced Science, EarlyView.
Caspofungin heteroresistance is prevalent in clinical Candida glabrata isolates and depends on calcineurin‐mediated stress adaptation. This transient phenotype serves as a reservoir for resistance evolution, enabling the emergence of stable resistant descendants under prolonged drug pressure.
Yanyu Su, Yi Li, Meng Xiao, Dan Guo, David S. Perlin, Erika Shor, Yingchun Xu, Yingxing Li   +7 more
wiley   +1 more source

Discharge estimation in compound channels with converging and diverging floodplains using an optimised Gradient Boosting Algorithm

Journal of Hydroinformatics
River discharge estimation is vital for effective flood management and infrastructure planning. River systems consist of a main channel and floodplains, collectively forming a compound channel, posing challenges in discharge calculation, particularly ...
Shashank Shekhar Sandilya, Bhabani Shankar Das, Sébastien Proust, Divyanshu Shekhar   +3 more
doaj   +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

GWO-XGBoost prediction algorithm for industrial wastewater quality key data

Gongye shui chuli
In order to solve the complex adjustment of XGBoost model parameters and further improve the accuracy of water quality data prediction，a predictin algorithm based on Gray Wolf Optimization（GWO） to optimize XGBoost.
NIU Jinghui
doaj   +1 more source

An Explainable AI Framework for Crack Width Behavior Analysis in Prestressed Concrete Beams [PDF]

预应力技术
Accurate prediction of crack width is essential for serviceability design and durability assessments of prestressed concrete structures. This study presents an explainable machine learning framework for predicting the maximum crack width of prestressed ...
Seyyedbehrad Emadi, Amir Hossein Farmanara Bozorgzad, Pooya Lotfabadi, Haiying Ma   +3 more
doaj   +1 more source

Coupling FEA with XGBoost Model for Estimating Uplift Resistance of Circular Anchor in NGI-ADP Soils

By combining finite element analysis of PLAXIS and machine learning modeling of XGBoost, a new approach to evaluate ultimate pullout load of circular plate anchor in undrained clay using an anisotropic soil model is presented in this technical note.
Tran, Minh Nhat, Shiau, Jim, Keawsawasvong, Suraparb, Bui, Truong Son, Lai, Van Qui, Nguyen, Trung Kien   +5 more
core   +1 more source