Search Results - "Model performance"

Predicting design suitability of box-shaped sustainable timber structural members using machine learning and hyperparameter optimization

Authors: Muhammed Cosut Gebrail Bekdas Sinan Melih Nigdeli et al.

Contributors: Muhammed Cosut Gebrail Bekdas Sinan Melih Nigdeli et al.

Source: Neural Computing and Applications. 37:24123-24148

Subject Terms: Hyperparameter Optimization, Box-shaped Member, Support Vector Regression, Timber, Performance Metrices, Learning Systems, Structural Analysis, Machine Learning, Naive Bayes, Timber Structures, Energy Dissipation, Learning Algorithms, Structural Members, Logistic Regression, Machine-learning, Hyper-parameter Optimizations, Model Performance Metric, Decision Trees, Timber Structure, Logistics Regressions, Discriminant Analysis, Modeling Performance, Classification, Structural Optimization, Gaussians, Nearest Neighbor Search, Model Performance Metrics, Forecasting

Impact of analytical bias on machine learning models for sepsis prediction using laboratory data

Authors: Meryem Rumeysa Yesil Ilaria Talli Michela Pelloso et al.

Source: Clinical Chemistry and Laboratory Medicine (CCLM). 63:2022-2030

Subject Terms: analytical bias, artificial intelligence, machine learning, model performance, sepsis

Access URL: https://hdl.handle.net/11577/3557983
https://doi.org/10.1515/cclm-2025-0491

Comparative analysis on few-shot models performance for improving object detection in the military Domain

Authors: Junsub Kim Dongnyeok Choi

Source: 선진국방연구, Vol 8, Iss 1 (2025)

Subject Terms: military domain, Military Science, object detection, few-shot learning, model performance evaluation, images of military vehicles

Access URL: https://doaj.org/article/ab00f28330f94343ba1cf0adb5feb987

Two-stage sampling for better survival model performance

Authors: Yunwei Zhang Samuel Muller

Source: BMC Medical Research Methodology, Vol 25, Iss 1, Pp 1-11 (2025)

Subject Terms: Lasso Cox model, Simple random sampling, Stratified sampling, Survival analysis, Survival model performance, Medicine (General), R5-920

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2288

Access URL: https://doaj.org/article/1817e36e1f8a4e9aa644b923da6b77e0

Comparative Analysis of Classical Models and Foundation Models for Retail Sales Forecasting

Authors: Nascimento, Maria Madalena Mendes de Matos Baião do Baptista, Maria Helena Miranda Flores RUN

Contributors: Nascimento, Maria Madalena Mendes de Matos Baião do Baptista, Maria Helena Miranda Flores RUN

Subject Terms: Forecasting, Foundation Models, Methodological Comparison, Model Performance, Univariate Time Series, Holiday and Promotion Impact, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/191108

Ensuring Model Performance Reliability through a Data-Centric Approach

Authors: Sanka, Praveen Gupta Minukuri, Vidya Sagar

Subject Terms: model performance, data reliability, data quality

Leading Degree: A Metric for Model Performance Evaluation and Hyperparameter Tuning in Deep Learning-Based Side-Channel Analysis

Authors: Junfan Zhu Jiqiang Lu

Source: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2025, Iss 2 (2025)

Subject Terms: TK7885-7895, Computer engineering. Computer hardware, Hyperparameter tuning, Deep learning, Model performance evaluation, Information technology, T58.5-58.64, Profiling side-channel analysis

Access URL: https://doaj.org/article/04a13a74557849b7bed9df4e5fb991a7

MODELLING AND ANALYSIS OF OPTIMIZATION ALGORITHMS

Authors: Arkabaev, Nurkasym Rahimov, Elshan Abdullaev, Alisher et al.

Source: Jurnal Ilmiah Ilmu Terapan Universitas Jambi; Vol. 9 No. 1 (2025): Volume 9, Nomor 1, March 2025; 161-177

Subject Terms: Model Performance, Resource Management, Performance Metrics, Parameter Adaptation, Selection Automation

File Description: application/pdf

Access URL: https://online-journal.unja.ac.id/JIITUJ/article/view/38410

Intelligence Evaluating Computational Power: A Multi-Factor Method

Authors: Yuhuan Huang Hang Li Dongdong Lu et al.

Source: IEEE Access, Vol 13, Pp 27398-27415 (2025)

Subject Terms: Deep learning benchmark test, Electrical engineering. Electronics. Nuclear engineering, AI hardware performance evaluation, model performance assessment, TK1-9971

Access URL: https://doaj.org/article/9bc86a25a107469e838a8ce53a2d4641

Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks

Authors: T. Senthil Kumar Mardeni Roslee J. Jayapradha et al.

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 6, Pp 1-14 (2025)

Subject Terms: Machine learning (ML), 5G cellular networks, Handover optimization (HO), Deep reinforcement learning, Model performance, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/d690457e5ec249be8292b252d2e7cc7a

IMAGE DETECTION AI MODEL FOR WEATHER IMAGES CLASSIFICATION

Authors: Oluwagbemiga O. SHOEWU, Oluwafemi J. AYANGBEKUN, Adetokunbo A. ADENOWO, Ubong D. USEN, Gabriel K. ADEKUSIBE, Adeola A. ADELAKUN and Kabiru A. MOMODU

Subject Terms: CNN, Image, KNN, Model, Performance, Weather

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification

Authors: Jain, Pallavi Marcos, Diego Ienco, Dino et al.

Contributors: Jain, Pallavi Marcos, Diego Ienco, Dino et al.

Source: IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium
International Symposium on Geoscience and Remote Sensing (IGARSS 2024)

Subject Terms: [SDE] Environmental Sciences, Satellite Imagery, Sentinel-2 Imagery, Satellite image, Low resolution, Image classification, Satellite imagery, Model performance, Contrastive learning, Land use classification, Classification task, Satellite data, Land use, Computer vision, Ground-level image

Access URL: http://agritrop.cirad.fr/611807/

Use of machine learning techniques in predicting inflow in Tarbela reservoir of Upper Indus Basin

Authors: SHABIR JAN UZAIR KHAN ALAMGIR KHALIL et al.

Source: Journal of Agrometeorology, Vol 26, Iss 4 (2024)

Subject Terms: Random Forest, Model Performance, Machine learning, Inflow prediction, Agriculture, XGBoost

Access URL: https://doaj.org/article/ed78a046dfb14f5cbd9004e62cf5f35d

Comparative evaluation of different solar radiation models with Angstrom-Prescott model for Hazaribagh, Jharkhand

Authors: YADVENDRA PAL SINGH A. S. TOMAR VIKAS SHARMA et al.

Source: Journal of Agrometeorology, Vol 26, Iss 4 (2024)

Subject Terms: Angstrom-Prescott, Model Performance, Solar Radiation, Agriculture, Seasonal Variation, Regression analysis

Access URL: https://doaj.org/article/d555d3636af6457cb32141c656455c24

Hyperparameter Tuning of EfficientNet Method for Optimization of Malaria Detection System Based on Red Blood Cell Image

Authors: Yuri Pamungkas Dwinka Syafira Eljatin

Source: Jurnal Sisfokom, Vol 13, Iss 3, Pp 360-368 (2024)

Subject Terms: hyperparameter tuning, model performance, malaria detection, efficientnet, Information technology, red blood cell image, T58.5-58.64

Access URL: https://doaj.org/article/7bf2a5ac21af475ab891d284df0c0269

Evaluating the enhanced benefits of multi-model ensemble mean from NEX-GDDP-CMIP6 versus native CMIP6 Models in accurately representing historical temperature patterns in South America

Authors: Heli A. Arregocés Roberto Rojano Martha L. Castellanos

Source: Environmental Challenges, Vol 21, Iss , Pp 101373- (2025)

Subject Terms: Model performance, Seasonal temperature, South America climate zones, Statistical indices evaluation, Environmental sciences, GE1-350

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667010025002926; https://doaj.org/toc/2667-0100

Access URL: https://doaj.org/article/828d3cf0aace4755aa60a55b78c56217

Evaluating single and dual-station calibration approaches for streamflow prediction in ungauged watersheds using SWAT: A case study of the Upper Blue Nile Basin

Authors: Anwar Assefa Adem Banteamlak Kase Abebe Ali Fares et al.

Source: Journal of Hydrology: Regional Studies, Vol 62, Iss , Pp 102929- (2025)

Subject Terms: SWAT model, Model performance, Water Balance Components, Model uncertainty, Hydrological models, Physical geography, GB3-5030, Geology, QE1-996.5

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S221458182500758X; https://doaj.org/toc/2214-5818

Access URL: https://doaj.org/article/51c557d8f71945b5b23861529706274f

Optimization of Bottom‐Up PBPK Model Development in SIMCYP via Retrospective Analysis of Clinical Human PK Data

Authors: Julia A. Schulz Pauly Alix F. Leblanc Ekram A. Chowdhury et al.

Source: Clinical and Translational Science, Vol 18, Iss 11, Pp n/a-n/a (2025)

Subject Terms: bottom‐up, GI physiology, ISEF, model performance, PBPK, P‐gp REF, Therapeutics. Pharmacology, RM1-950, Public aspects of medicine, RA1-1270

File Description: electronic resource

Relation: https://doaj.org/toc/1752-8054; https://doaj.org/toc/1752-8062

Access URL: https://doaj.org/article/752cac15d57446be825f11b699306815

A Spatiotemporal Interrogation of Hydrologic Drought Model Performance for Machine Learning Model Interpretability

Authors: Ali Dadkhah Scott D. Hamshaw Ryan van derHeijden et al.

Source: Water Resources Research, Vol 61, Iss 11, Pp n/a-n/a (2025)

Subject Terms: interpretable machine learning, model performance, hydrologic model, drought forecasting, ungaged basins, clustering, Environmental sciences, GE1-350

File Description: electronic resource

Relation: https://doaj.org/toc/0043-1397; https://doaj.org/toc/1944-7973

Access URL: https://doaj.org/article/fcfabe0d591e44bd986dd8c89ba837d1

Predictive modeling of bruising in broiler chickens using machine learning algorithms

Authors: Pranee Pirompud Panneepa Sivapirunthep Veerasak Punyapornwithaya et al.

Source: Poultry Science, Vol 104, Iss 11, Pp 105756- (2025)

Subject Terms: Lairage time, Variable importance, Model performance, Extreme gradient boosting, Animal culture, SF1-1100

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0032579125009976; https://doaj.org/toc/0032-5791

Access URL: https://doaj.org/article/b8e1422230cd4089ae434645ee7cbbb7