Výsledky vyhľadávania - "hyperparameter tuning"

Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method

Autori: Yifeng, Lu Jing, Li Zihao, He a ďalší

Zdroj: Journal of Future Foods, Vol 5, Iss 6, Pp 614-627 (2025)
JOURNAL OF FUTURE FOODS

Predmety: Agriculture and Food Sciences, Hyperparameter tuning, Back propagation artificial neural network, Shelf life, PERFORMANCE, TP368-456, Hen age, Food processing and manufacture, TIME, ARTIFICIAL NEURAL-NETWORK, SYSTEMS, LAYER, QUALITY, WATER, Egg, Hybrid model

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/a6fe365cbe4544d29c26b90b7c54d102
http://doi.org/10.1016/j.jfutfo.2024.11.009
http://hdl.handle.net/1854/LU-01JDQ4F2CF5H7NW1WM8001RBM2
https://biblio.ugent.be/publication/01JDQ4F2CF5H7NW1WM8001RBM2
https://biblio.ugent.be/publication/01JDQ4F2CF5H7NW1WM8001RBM2/file/01JJVWRECHWX4S49GPAS1HFZRR

Enhancing Lung Cancer Detection: Optimizing CNN Architectures through Hyperparameter Tuning

Autori: Sundari Retno Andani Poningsih Abdul Karim

Zdroj: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 4 (2025): August 2025; 944-954

Predmety: CNN Architecture, Disease Detection, X-ray, Medical Image Classification, Convolutional Neural Network (CNN), Hyperparameter Tuning

Popis súboru: application/pdf

Prístupová URL adresa: https://jurnal.iaii.or.id/index.php/RESTI/article/view/6357

Deep Learning-Based Bidirectional RNN for Cryptocurrency Price Prediction with Hyperparameter Tuning

Autori: Candra, Dori Gusti Alex Afrianto, Nurdi Fitriyanto, Idir a ďalší

Zdroj: Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi; Vol. 4 No. 2 (2025); 82-91

Predmety: Hyperparameter tuning, Evaluation metrics, Deep learning, Bidirectional Recurrent Neural Network, cryptocurrency

Popis súboru: application/pdf

Prístupová URL adresa: https://journal.uii.ac.id/jurnalsnati/article/view/40389

Predicting Hourly PV Production of FESB Solar Plant Using SKTIME Library

Autori: Joško Novaković Damir Jakus Josip Vasilj a ďalší

Zdroj: 2025 10th International Conference on Smart and Sustainable Technologies (SpliTech). :1-6

Predmety: Hyperparameter tuning, Gradient boosting regression, Time series analysis, Solar power forecasting, Sktime

Prístupová URL adresa: https://ieeexplore.ieee.org/document/11091716
https://doi.org/10.23919/splitech65624.2025.11091716

Application of optimized convolutional neural network to fixture layout in automotive parts

Autori: Villena Toro, Javier Wiberg, Anton Tarkian, Mehdi

Zdroj: The International Journal of Advanced Manufacturing Technology. 126:339-353

Predmety: Design automation, Machine learning, Fixtures, CNN, Hyperparameter tuning, EfficientNet

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-192681
https://liu.diva-portal.org/smash/get/diva2:1746597/FULLTEXT01.pdf

Development of learning models based on machine learning with quantum annealing for learning optimization in the digital era

Autori: Irfan Dahnial Al-Khowarizmi Al-Khowarizmi Karina Winda

Zdroj: Eastern-European Journal of Enterprise Technologies; Vol. 3 No. 2 (135) (2025): Information technology. Industry control systems; 65-72
Eastern-European Journal of Enterprise Technologies; Том 3 № 2 (135) (2025): Інформаційні технології. Системи управління в промисловості; 65-72

Predmety: machine learning, hyperparameter tuning, оптимізація цифрової трансформації, машинне навчання, налаштування гіперпараметрів, складність квантового відпалу, complexity of quantum annealing, optimization digital transformation

Popis súboru: application/pdf

Prístupová URL adresa: https://journals.uran.ua/eejet/article/view/333721

METAHEURISTIC-AI ENHANCED CUSTOM DEEP LEARNING NETWORK OPTIMIZED WITH SAND CAT SWARM ALGORITHM FOR ORAL CANCER DIAGNOSIS

Autori: Vinod Kumar Venkatesan V Sujatha Audithan Sivaraman a ďalší

Zdroj: International Journal of Advances in Signal and Image Sciences, Vol 11, Iss 1, Pp 66-79 (2025)

Predmety: oral cancer classification, convolutional neural network, sand cat swarm optimization, histopathological images, hyperparameter tuning, deep learning, metaheuristic optimization, Computer applications to medicine. Medical informatics, R858-859.7, TP248.13-248.65, Biotechnology

Prístupová URL adresa: https://doaj.org/article/9f7f1fbaa2a34b20bdd2fd4e6316b18f

Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification

Autori: Tsaqif Muhammad Arkan Aris Sugiharto Helmie Arif Wibawa

Zdroj: Jurnal Masyarakat Informatika, Vol 16, Iss 2, Pp 162-173 (2025)

Predmety: hyperparameter tuning, tomato leaf disease, deep learning, Information technology, T58.5-58.64, bayesian optimization, vgg16, image classification

Prístupová URL adresa: https://doaj.org/article/a3a467c2241f438d941a99f67d389001

Enhancing airport services: data-driven analysis of passenger satisfaction and service quality in Southeast Asia

Autori: Thitinan Pholsook Sarawut Ramjan Warit Wipulanusat

Zdroj: Engineering Management in Production and Services, Vol 17, Iss 2, Pp 37-62 (2025)

Predmety: machine learning, airport quality service, hyperparameter tuning, TS155-194, data classification, Production management. Operations management

Prístupová URL adresa: https://doaj.org/article/542399e6a33c44ee8ab7e79bb36266db

Efficient Privacy-Utility Optimization for Differentially Private Deep Learning: Application to Medical Diagnosis

Autori: Benladgham, Rafika Hadjila, Fethallah Belloum, Adam

Zdroj: International journal of electrical and computer engineering systems
Volume 16
Issue 5

Predmety: hyperparameter tuning, deep learning, privacy-utility tradeoff optimization, differential pravacy, medical data analysis

Popis súboru: application/pdf

Prístupová URL adresa: https://hrcak.srce.hr/file/478460
https://hrcak.srce.hr/330855
https://doi.org/10.32985/ijeces.16.5.3
https://hrcak.srce.hr/330855
https://doi.org/10.32985/ijeces.16.5.3

Leveraging sparrow search optimization with deep learning-based cybersecurity detection in industrial internet of things environment

Autori: Fatma S. Alrayes Nadhem Nemri Wahida Mansouri a ďalší

Zdroj: Alexandria Engineering Journal, Vol 121, Iss, Pp 128-137 (2025)

Predmety: Industrial Internet of Things, Cybersecurity, Hyperparameter tuning, Sine cosine algorithm, Deep learning, TA1-2040, Engineering (General). Civil engineering (General)

Prístupová URL adresa: https://doaj.org/article/a3c6ff204c774beeb4d63f52095eef00

Development and Optimization of a Construction Personal Protective Equipment (PPE) Detection Model on YOLOv8 Architecture

Autori: Zidan Rafindra Utomo Prajanto Wahyu Adi Priyo Sidik Sasongko a ďalší

Zdroj: Jurnal Masyarakat Informatika, Vol 16, Iss 1, Pp 1-14 (2025)

Predmety: hyperparameter tuning, object detection, workplace safety, Information technology, ppe detection, T58.5-58.64, data augmentation

Prístupová URL adresa: https://doaj.org/article/fb69d52f59b0452ab35e905e546f66c7

Penerapan Feature Engineering dan Hyperparameter Tuning untuk Meningkatkan Akurasi Model Random Forest pada Klasifikasi Risiko Kredit

Autori: Nadea Putri Nur Fauzi Siti Khomsah Aditya Dwi Putra Wicaksono

Zdroj: Jurnal Teknologi Informasi dan Ilmu Komputer, Vol 12, Iss 2 (2025)

Predmety: Machine Learning, Technology, Random Forest, Random Search, Information technology, T58.5-58.64, Feature Engineering, Hyperparameter-Tuning, Grid Search

Prístupová URL adresa: https://doaj.org/article/2fa7457a692f41d2b19d01b2f0aeb8e4

An application to detect osteoporosis using ensemble Machine learning with hyperparameter tuning and model interpretability

Autori: Abir Chowdhury Md.Mahbubur Rahman Druvo Md.Shariful Islam a ďalší

Zdroj: Clinical eHealth, Vol 8, Iss , Pp 177-200 (2025)

Predmety: Osteoporosis Prediction, SMOTE, Feature Selection, Hyperparameter Tuning, XGBoost, SHAP, Medicine

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2588914125000255; https://doaj.org/toc/2588-9141

Prístupová URL adresa: https://doaj.org/article/fbc3a8b484f0478abba654f0218c8a96

Prediction and Feature Analysis of Self-Compacting Concrete Strength Using Machine Learning with Recycled Coarse Aggregate and Supplementary Cementitious Materials

Autori: Kavendra PULKIT Shivi NIGAM

Zdroj: Journal of Materials and Engineering Structures, Vol 12, Iss 4, Pp 513-534 (2025)

Predmety: machine learning gradient boosting k fold cross validation hyperparameter tuning, Structural engineering (General), TA630-695

Popis súboru: electronic resource

Relation: https://revue.ummto.dz/index.php/JMES/article/view/3895; https://doaj.org/toc/2170-127X

Prístupová URL adresa: https://doaj.org/article/e15af346143c46e0aec2071f0a7e5ea7

Comparative Analysis of Machine Learning Algorithms for Groundwater Potability Classification in Jakarta

Autori: Diky Arianto Tarihoran Hadi Santoso

Zdroj: Jurnal Informatika, Pp 371-381 (2025)

Predmety: groundwater quality, machine learning, internet of things (iot), hyperparameter tuning, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://jurnalnasional.ump.ac.id/index.php/JUITA/article/view/27348; https://doaj.org/toc/2086-9398; https://doaj.org/toc/2579-8901

Prístupová URL adresa: https://doaj.org/article/b21ed7927fb44b5bb4c7e789b6743259

Hyperparameter optimization based machine learning approach for early diagnosis of fetal genetic disorders

Autori: Emre Yalçın Tarık Kaan Koç Serpil Aslan a ďalší

Zdroj: Discover Computing, Vol 28, Iss 1, Pp 1-23 (2025)

Predmety: First trimester screening, Down syndrome, Machine learning, GPT-4o, hyperparameter tuning, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2948-2992

Prístupová URL adresa: https://doaj.org/article/09ffc0eddf4d4b97b8838cb4e3620152

A lightweight deep evidence fusion framework for smart home appliance detection and classification via internet of things devices

Autori: Nuha Alruwais Hadeel Alsolai Mohammed Maray a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-31 (2025)

Predmety: Smart home appliance, Lightweight, Internet of things devices, Feature selection, Hybrid model, Hyperparameter tuning, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/7655ec1d742d475980202830f398a013

Hybrid glowworm swarm optimization with recurrent deep learning for fault detection in industrial internet of things environment

Autori: G. Anitha Hariprasath Manoharan Abirami Manoharan

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Predmety: Fault detection, Industrial Internet of Things, Deep learning, Hyperparameter tuning, Industry 4.0, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/f43a2714b214472a9d8f6a36e45a784a

Enhancing green hydrogen forecasting with a spatio-temporal graph convolutional network optimized by the Ninja algorithm

Autori: Mona Ahmed Yassen Amel Ali Alhussan Mohamed Gamal Abdel-Fattah a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Predmety: Green hydrogen forecasting, Spatio-temporal graph convolutional network (STGCN), Metaheuristic optimization, Ninja optimization algorithm (NiOA), Feature selection, Hyperparameter tuning, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/9b46e48f3942411cb640ebaf49350178