Výsledky vyhledávání - "synthetic datasets"

Akademický článek

Bayesian model of tilling wheat confronting climatic and sustainability challenges

Autor: Qaisar Ali

Publikováno v: Frontiers in Artificial Intelligence, Vol 7 (2024)

Conventional farming poses threats to sustainable agriculture in growing food demands and increasing flooding risks. This research introduces a Bayesian Belief Network (BBN) to address these concerns. The model explores tillage adaptation for flood m

Externí odkaz: https://doaj.org/article/bdeb883080e04a55a308f5f081e38558

Zobrazit plný text záznamu

Akademický článek

Stochastic algorithm for creating highly accurate optimized scattering look-up tables for a large range of size parameters and optical constants

Autor: Furstenberg, Robert ^⁎, Shabaev, Andrew, Huffman, Tyler J., Kendziora, Christopher A., McGill, R. Andrew

Publikováno v: In Journal of Quantitative Spectroscopy and Radiative Transfer December 2024 329

Zobrazit plný text záznamu

Akademický článek

A Deep Neural Network Approach for Drogue Detection Using Laboratory-Chroma Key Images

Autor: Dillon Miller, Sean Mccormick, Violet Mwaffo, Donald H. Costello

Publikováno v: IEEE Access, Vol 12, Pp 188465-188475 (2024)

This study presents a framework for developing and evaluating a deep neural network model trained on a synthetic dataset of aerial refueling equipment. The data set was generated in a controlled laboratory environment with green screen backgrounds. T

Externí odkaz: https://doaj.org/article/fce80dedb8174809b8a7a9abd35f74c1

Zobrazit plný text záznamu

Akademický článek

Monitoring manufacturing systems using AI: A method based on a digital factory twin to train CNNs on synthetic data

Autor: Urgo, Marcello ^{a, ⁎}, Terkaj, Walter ^b, Simonetti, Gabriele ^c

Publikováno v: In CIRP Journal of Manufacturing Science and Technology June 2024 50:249-268

Zobrazit plný text záznamu

Akademický článek

Implementation of Anatomy Constrained Contrastive Learning for Heart Chamber Segmentation

Autor: Ukibassov, B.M. ^a, Rakhmetulayeva, S.B. ^a, Zhanabekov, Zh.O. ^b, Bolshibayeva, A.K. ^a, Yasar, Ansar-Ul-Haque ^c

Publikováno v: In Procedia Computer Science 2024 238:536-543

Zobrazit plný text záznamu

Akademický článek

Data Processing Methods for Financing Terrorism: The Role of Microsoft Power BI in Money Laundering Detection

Autor: Kulbayeva, A.K. ^a, Rakhmetulayeva, S.B. ^a, Bolshibayeva, A.K. ^a, Yasar, Ansar-Ul-Haque ^b

Publikováno v: In Procedia Computer Science 2024 238:528-535

Zobrazit plný text záznamu

Akademický článek

F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of [formula omitted]-barriers for intrusion detection

Autor: Singh, Abhilash ^{a, ⁎}, Mousavi, Seyed Muhammad Hossein ^{b, 1}, Nagar, Jaiprakash ^{c, 2}

Publikováno v: In Applied Soft Computing January 2024 151

Zobrazit plný text záznamu

Akademický článek

A 2D/3D multimodal data simulation approach with applications on urban semantic segmentation, building extraction and change detection

Autor: Fuentes Reyes, Mario ^{a, 1}, Xie, Yuxing ^{b, a, 1}, Yuan, Xiangtian ^{a, 1}, d’Angelo, Pablo ^a, Kurz, Franz ^a, Cerra, Daniele ^a, Tian, Jiaojiao ^{a, ⁎}

Publikováno v: In ISPRS Journal of Photogrammetry and Remote Sensing November 2023 205:74-97

Zobrazit plný text záznamu

Akademický článek

Variable Selection in Data Analysis: A Synthetic Data Toolkit

Autor: Rohan Mitra, Eyad Ali, Dara Varam, Hana Sulieman, Firuz Kamalov

Publikováno v: Mathematics, Vol 12, Iss 4, p 570 (2024)

Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). To evaluate FSAs effectively, co

Externí odkaz: https://doaj.org/article/487cbf7549254296ac90abb866f79cf9

Zobrazit plný text záznamu

Plný text ve formátu HTML

Vyhledávací nástroje:

Upřesnit hledání