Suchergebnisse - "Hyperparameter Optimization"

Evaluation of the Reproducibility of Radiomic Intelligent Systems for Early Detection of Lung Cancer

Autoren: Torres, Guillermo Eduardo

Thesis Advisors: Sánchez Ramos, Carles, Gil Resina, Debora

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Detecció precóz de cancer de pulmó, Early lung cancer diagnosis, Detección precóz de cancer de pulmón, Optimització de hiperparámetro, Hyperparameter optimization, Optimización de hiperparámetro, Aprenentatge automàtic, Machine learning, Aprendizaje automático, Tecnologies

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/691667

Development of the Optuna-NGBoost-SHAP model for estimating ground settlement during tunnel excavation

Autoren: Yuxin Chen Mohammad Hossein Kadkhodaei Jian Zhou

Quelle: Underground Space, Vol 24, Iss, Pp 60-78 (2025)

Schlagwörter: Interpretable machine learning, Ground settlement, NGBoost, TA703-712, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, Hyperparameter optimization, Estimation

Zugangs-URL: https://doaj.org/article/36bd378bb5e244cd846569f2cb5532d9

Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams

Autoren: Nilesh Verma Albert Bifet Bernhard Pfahringer et al.

Weitere Verfasser: Nilesh Verma Albert Bifet Bernhard Pfahringer et al.

Quelle: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :2871-2882

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Bayesian Optimization, Real-time Learning, Online Hyperparameter Optimization, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Adaptive Learning, Data Stream Mining

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05210830v1
https://hal.science/hal-05210830v1/document
https://doi.org/10.1145/3711896.3736852

A Hybrid Prediction Model for Wind–Solar Power Generation with Hyperparameter Optimization and Application in Building Heating Systems

Autoren: Dai, Huageng Zhao, Yongkang Deng, Yuzhu et al.

Quelle: Buildings. 15(18)

Schlagwörter: building heating applications, hybrid model, hyperparameter optimization, variational mode decomposition (VMD), wind-solar power prediction

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-371192
https://doi.org/10.3390/buildings15183367

Semi-supervised GAN with hybrid regularization and evolutionary hyperparameter tuning for accurate melanoma detection

Autoren: Golkarieh, Alireza Razmara, Parsa Lagzian, Ahmadreza et al.

Quelle: Scientific Reports. 15(1)

Schlagwörter: Artificial Bee Colony, Generative Adversarial Network, Hyperparameter Optimization, Melanoma Detection, Semi-supervised Learning, Algorithm, Artificial Neural Network, Diagnosis, Human, Melanoma, Skin Tumor, Supervised Machine Learning, Algorithms, Humans, Neural Networks, Computer, Skin Neoplasms

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55556
https://doi.org/10.1038/s41598-025-17756-x

Rolling The Dice For Better Deep Learning Performance: A Study Of Randomness Techniques In Deep Neural Networks

Autoren: Altarabichi, Mohammed Ghaith Nowaczyk, Sławomir Pashami, Sepideh et al.

Quelle: Information Sciences. 667:1-17

Schlagwörter: Neural Networks, Randomized Neural Networks, Convolutional Neural Network, hyperparameter optimization, Particle swarm optimization

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52467
https://doi.org/10.1016/j.ins.2024.120500

Boosting aquila optimizer by marine predators algorithm for combinatorial optimization

Autoren: Wang, Shuang Jia, Heming Hussien, Abdelazim et al.

Quelle: JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING. 11(2):37-69

Schlagwörter: aquila optimizer, marine predators algorithm, hybrid algorithm, CNN-hyperparameter optimization, COVID-19 CT-image detection

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-202294
https://doi.org/10.1093/jcde/qwae004

A CNN-Based Information System for Balinese Dance Classification with Hyperparameter Optimization

Autoren: Widya Utami, Nengah Putra, Made Adi Paramartha Putra, I Gede Juliana Eka et al.

Quelle: International Journal of Advances in Data and Information Systems; Vol. 6 No. 2 (2025): August 2025-International Journal of Advances in Data and Information Systems; 376-390

Schlagwörter: Convolutional Neural Networks (CNN), Hyperparameter Optimization, Balinese Dance, Information System

Dateibeschreibung: application/pdf

Zugangs-URL: http://ijadis.org/index.php/ijadis/article/view/1402

Detection and classification of malware using grid search optimization technique

Autoren: Akinshola-Awe, F.J. Obiniyi, A.A. Aimufua, Gilbert et al.

Quelle: Science World Journal; Vol. 20 No. 2 (2025); 740-747

Schlagwörter: Malware Detection, Grid Search, Machine Learning, Hyperparameter Optimization

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.ajol.info/index.php/swj/article/view/303763

Analysis of the Impact of Backpropagation Hyperparameter Optimization on Heart Disease Prediction Models

Autoren: Nita Syahputri Putrama Alkhairi Enok Tuti Alawiah

Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 4 (2025): August 2025; 788-795

Schlagwörter: machine learning, backpropagation neural network (BPNN), hyperparameter optimization, heart disease prediction, early diagnosis

Dateibeschreibung: application/pdf

Zugangs-URL: https://jurnal.iaii.or.id/index.php/RESTI/article/view/6473

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

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

Weitere Verfasser: Muhammed Cosut Gebrail Bekdas Sinan Melih Nigdeli et al.

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

Schlagwörter: 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

Optimized Hybrid CNN-Residual BiLSTM with Adaptive Prediction System for Enhanced Gas Turbine Performance Forecasting

Autoren: Pratama, Andika Fatichah, Chastine

Quelle: Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi; Vol. 10 No. 2 (2025): In Press: July, 2025; 159-169

Schlagwörter: Hybrid Model, Deep Learning, Hyperparameter Optimization, Time Series Forecasting, Predictive Maintenance, Residual Bi-LSTM, Gas Turbine, Compressor Discharge Pressure (PCD)

Dateibeschreibung: application/pdf

Zugangs-URL: https://ejournal.unitomo.ac.id/index.php/inform/article/view/10226

Forecasting Natural Gas Consumption by User Type Using Machine Learning: A Comparative Study

Autoren: Süleyman Tekin Serhat Peker Nurhan Dudaklı

Quelle: Volume: 12, Issue: 2632-651
Gazi University Journal of Science Part A: Engineering and Innovation

Schlagwörter: Data Mining and Knowledge Discovery, Natural Gas Consumption, Energy Forecasting, Machine Learning, User-Type Analysis, Data Science, Hyperparameter Optimization, Veri Madenciliği ve Bilgi Keşfi

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/gujsa/issue/91864/1689278

Hyperparameter Optimization for Deep Learning Modeling in Short-Term Load Forecasting

Autoren: Tran, Thanh Ngoc Nguyen, Tuan Anh

Quelle: International journal of electrical and computer engineering systems
Volume 16
Issue 6

Schlagwörter: Bayes Search, Random Search, CNN network, hyperparameter optimization, Short-term load forecasting, Grid Search

Dateibeschreibung: application/pdf

Zugangs-URL: https://hrcak.srce.hr/file/481521
https://hrcak.srce.hr/332896
https://doi.org/10.32985/ijeces.16.6.2
https://hrcak.srce.hr/332896
https://doi.org/10.32985/ijeces.16.6.2

Energy efficiency in building: Entropy-based Grey Wolf Optimization for improved MLP performance

Autoren: İhsan Tuğal

Quelle: Energy Reports. 13:4247-4260

Schlagwörter: Building Hvac System, Hyperparameter Optimization, Energy, Meta-heuristic Algorithms, Energy Efficiency, Gray Wolves, Entropy, Hvac, Multilayers Perceptrons, Entropy-based, Hvac System, Hyper-parameter, Meta-heuristics Algorithms, Optimisations, Multi-layer Perceptron, Hyper-parameter Optimizations, Building Hvac Systems

Zugangs-URL: https://hdl.handle.net/20.500.12639/7341

Shield tunneling efficiency and stability enhancement based on interpretable machine learning and multi-objective optimization

Autoren: Wenli Liu Yang Chen Tianxiang Liu et al.

Quelle: Underground Space, Vol 22, Iss, Pp 320-336 (2025)

Schlagwörter: Multi-objective optimization, Field penetration index, Interpretable machine learning, Ground settlement, TA703-712, Shield tunnelling machine, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, Hyperparameter optimization

Zugangs-URL: https://doaj.org/article/a104cf463405482db44f115d929ca336

DETERMINING THE STAGES AND TREATMENTS OF CERVICAL SPINE DISEASES WITH EXPLAINABLE ARTIFICIAL INTELLIGENCE

Autoren: Erman Çankaya Cevriye Altıntaş

Quelle: Volume: 7, Issue: 148-61
International Journal of Engineering and Innovative Research

Schlagwörter: Planlama ve Karar Verme, Explainable Artificial Intelligence, Cervical Spine Diseases, Random Forest, Decision Tree, LIME, Medical Diagnosis, Hyperparameter Optimization, Neck Disorders, Feature Importance, SHAP, Açıklanabilir Yapay Zeka, Hiperparametre optimizasyonu, Tıbbi görüntü analizi, Planning and Decision Making

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/ijeir/issue/91925/1625512

The Effect of Hyperparameters on Faster R-CNN in Face Recognition Systems

Autoren: Pardede, Jasman Rijal, Khairul

Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 9, Iss 3, Pp 506-518 (2025)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 3 (2025): June 2025; 506-518

Schlagwörter: TA168, Faster R-CNN, deep learning, Information technology, Face recognition, faster r-cnn, T58.5-58.64, grid search, Grid Search, face recognition, hyperparameter optimization, Systems engineering

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/5182b4e4d09f43d1a49fb97de289034f
http://jurnal.iaii.or.id/index.php/RESTI/article/view/6405

Optimizing Gated Recurrent Unit (GRU) for Gold Price Prediction: Hyperparameter Tuning and Model Evaluation on Historical XAU/USD Data

Autoren: Abdul Faqih Muhammad Jauhar Vikri Ita Aristia Sa’ida

Quelle: Jurnal Sisfokom, Vol 14, Iss 2, Pp 141-147 (2025)

Schlagwörter: gated recurrent unit (gru), Information technology, hyperparameter optimization, time series, T58.5-58.64, gold price prediction

Zugangs-URL: https://doaj.org/article/6a56c53019aa4bf4a3944377f2960f2b

AOA-guided hyperparameter refinement for precise medical image segmentation

Autoren: Hossam Magdy Balaha Waleed M. Bahgat Mansourah Aljohani et al.

Quelle: Alexandria Engineering Journal, Vol 120, Iss, Pp 547-560 (2025)

Schlagwörter: Breast cancer, Archimedes optimization algorithm, Deep learning (DL), COVID-19, Medical image segmentation, TA1-2040, Engineering (General). Civil engineering (General), Hyperparameter optimization

Zugangs-URL: https://doaj.org/article/9d84a7627e414511a448fa96fd12214a