Výsledky vyhledávání - "X- Gradient Boosting Algorithm"

Sensitivity Study of The Effect Polymer Flooding Parameters to Improve Oil Recovery Using X-Gradient Boosting Algorithm

Autoři: Tomi Erfando Rizqy Khariszma

Zdroj: Journal of Applied Engineering and Technological Science, Vol 4, Iss 2 (2023)

Témata: Oil Recovery, T1-995, X- Gradient Boosting Algorithm, Polymer Flooding, TA1-2040, 0101 mathematics, Engineering (General). Civil engineering (General), 01 natural sciences, Technology (General), energy, 0105 earth and related environmental sciences

Přístupová URL adresa: https://doaj.org/article/adfc94f91af84117899e1f792a9b5e3b

Sensitivity Study of The Effect Polymer Flooding Parameters to Improve Oil Recovery Using X-Gradient Boosting Algorithm

Autoři: Erfando, Tomi Khariszma, Rizqy

Zdroj: Journal of Applied Engineering and Technological Science (JAETS); Vol. 4 No. 2 (2023): Journal of Applied Engineering and Technological Science (JAETS); 873-884; 2715-6079; 2715-6087; 10.37385/jaets.v4i2

Témata: X- Gradient Boosting Algorithm, Polymer Flooding, Oil Recovery, energy, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion, Peer-reviewed Article

URL: https://journal.yrpipku.com/index.php/jaets/article/view/1871
https://journal.yrpipku.com/index.php/jaets/article/view/1871/1312
https://journal.yrpipku.com/index.php/jaets/article/view/1871/1312

Studi Sensitivitas Pengaruh Parameter Polymer Flooding Untuk Meningkatkan Oil Recovery Dengan Menggunakan X – Gradient Boosting Algorithm

Autoři: Khariszma, Rizqy

Témata: T Technology (General), Thesis, NonPeerReviewed

URL: https://repository.uir.ac.id/26231/1/183210155.pdf
https://repository.uir.ac.id/26231/
https://repository.uir.ac.id/26231

Studi Sensitivitas Fracture Half Length, Effective Permeability Dan Fracture Width Pada Hydraulic Fracturing Menggunakan X - Gradient Boosting Algorithm

Autoři: Reza Amanda, Irsan

Témata: T Technology (General), Thesis, NonPeerReviewed

URL: https://repository.uir.ac.id/26519/1/183210874.pdf
https://repository.uir.ac.id/26519/
https://repository.uir.ac.id/26519

Accurate Biometric Palm Print Recognition Using ResNet50 algorithm Over X Gradient Boosting Algorithm

Autoři: Kumar H. Kishore Kumar S. Ashok

Zdroj: E3S Web of Conferences, Vol 399, p 04027 (2023)

Témata: biometric, fingerprint, novel resnet50, palm print, technology, xgradient boosting, Environmental sciences, GE1-350

Popis souboru: electronic resource

Relation: https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_04027.pdf; https://doaj.org/toc/2267-1242

Přístupová URL adresa: https://doaj.org/article/53829107f77b40e9bce82582e1397d79

Evaluating the predictive accuracy of alexnet and X-gradient boosting for detecting polycystic ovary syndrome (PCOD) in women.

Autoři: Hasritha, B. Gnanajeyaraman, R.

Zdroj: AIP Conference Proceedings. 2025, Vol. 3300 Issue 1, p1-8. 8p.

Témata: *POLYCYSTIC ovary syndrome, *DEEP learning, *CONVOLUTIONAL neural networks, *STATISTICAL significance, *PREDICTIVE validity, *BOOSTING algorithms, *MACHINE learning

Path Planning for Data Collection Multiagent System with Priority and Moving Nodes in a Sensing Field with Obstacles.

Autoři: Szénási, Sára Harmati, István

Zdroj: Periodica Polytechnica: Electrical Engineering & Computer Science; 2024, Vol. 68 Issue 3, p309-318, 10p

Témata: ANT algorithms, MULTIAGENT systems, MOBILE robots, DOWNLOADING, DATA transmission systems, WIRELESS sensor networks

Prediction of hydraulic fracturing design success in shale gas reservoir using artificial neural network.

Autoři: Ralda, Ismi Hernomita, Desti Erfando, Tomi

Zdroj: AIP Conference Proceedings; 2023, Vol. 2945 Issue 1, p1-6, 6p

Témata: SHALE gas reservoirs, HYDRAULIC fracturing, DEEP learning, GAS reservoirs, FORECASTING

Emotion Detection using HOG for Crime Detection

Autoři: B Meena Preethi C Sunitha M Parameshvar a další

Témata: Facial emotion, Face detection, Feature Extraction, Dlib Histogram Oriented Gradients (HOG), Random Forest, X­Gradient Boosting, Emotion classification, Facial Expression Recognition (FER)

Relation: https://zenodo.org/records/13467708; oai:zenodo.org:13467708; https://doi.org/10.17485/IJST/v16i41.1580

Dostupnost: https://doi.org/10.17485/IJST/v16i41.1580
https://zenodo.org/records/13467708
https://indjst.org/articles/emotion-detection-using-hog-for-crime-detection

Proceedings of Sixth International Conference on Computer and Communication Technologies

Autoři: K. Reddy Madhavi Nagaraj Ramrao T. Kishore Kumar a další

Resource Type: eBook.

Categories: COMPUTERS / Artificial Intelligence / General

Introduction to Deep Learning Using R : A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Autoři: Taweh Beysolow II

Resource Type: eBook.

Témata: Programming languages (Electronic computers), Artificial intelligence, Machine learning, R (Computer program language), Big data

Categories: COMPUTERS / Database Administration & Management, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / Compilers, MATHEMATICS / Probability & Statistics / General