المؤلفون: 汪浏博(WANG Liubo), 郑素佩(ZHENG Supei), 张蕊(ZHANG Rui), 封建湖(FENG Jianhu)

المصدر: Zhejiang Daxue xuebao. Lixue ban, Vol 51, Iss 6, Pp 724-731 (2024)

مصطلحات موضوعية: hyperbolic conservation law equation(双曲守恒律方程), finite volume method(有限体积法), convolutional neural network model(卷积神经网络模型), Electronic computers. Computer science, QA75.5-76.95, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1008-9497

URL الوصول: https://doaj.org/article/839b4889463544d2bad6006a2a5d9b0f

المؤلفون: Yohannes Agegnehu Bezabh, Aleka Melese Ayalew, Biniyam Mulugeta Abuhayi, Tensay Nigussie Demlie, Eshete Ayenew Awoke, Taye Endeshaw Mengistu

المصدر: Smart Agricultural Technology, Vol 8, Iss , Pp 100476- (2024)

مصطلحات موضوعية: Classification mango disease, Digital imaging, Convolutional neural network model, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772375524000819; https://doaj.org/toc/2772-3755

URL الوصول: https://doaj.org/article/2d4d77d32a4b4054bae23609cd9288b0

المؤلفون: Zhang Xiaobing

المصدر: Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 1653-1662 (2023)

مصطلحات موضوعية: music teaching evaluation, convolutional neural network model, partial differential equation model, burgers equation, level set equation, 35a15, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2444-8656

URL الوصول: https://doaj.org/article/98fedd8a551549cf97e4a4291fa4a0e8

المؤلفون: Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang

المصدر: Journal of Transport and Land Use, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Traffic demand prediction, Similarity-based Principle, Spatio-temporal Graph Convolutional Neural Network model, activity-based geographic information, prediction of bicycle sharing ridership., Transportation engineering, TA1001-1280, Transportation and communications, HE1-9990

وصف الملف: electronic resource

Relation: https://www.jtlu.org/index.php/jtlu/article/view/2348; https://doaj.org/toc/1938-7849

URL الوصول: https://doaj.org/article/912c74dba63f4108b6301fb6d75dafd7

المؤلفون: Liu, Na, Li, Yongxia, Guo, Yuxiu

المصدر: International Journal of Interactive Mobile Technologies (iJIM); Vol. 18 No. 11 (2024); pp. 92-107 ; 1865-7923

مصطلحات موضوعية: online learning resources, resource adaptation, neural network optimization, simulated annealing-convolutional neural network model, deep metric attention model, personalized recommendation

وصف الملف: application/pdf

Relation: http://online-journals.org/index.php/i-jim/article/view/49779/15073; http://online-journals.org/index.php/i-jim/article/view/49779

الاتاحة: http://online-journals.org/index.php/i-jim/article/view/49779

المؤلفون: Mezhuyev, Vitaliy, Teubl, Max Simon, Tschandl, Martin

مصطلحات موضوعية: Digitalisation is increasingly finding its way into the production process of manufacturing companies. The paper deals with the question of how manufacturing data of a milling process can be analysed using machine learning (ML) methods to classify surface defects at an early stage of production. The paper develops an ML model that classifies image data based on the surface roughness of produced parts. For this purpose, sample parts were produced on a milling machine in the learning and research factory for Industry 4.0, the Smart Production Lab at FH Joanneum, Austria. This resulted in a data set of about 38,500 images. The developed based on a convolutional neural network model achieved an accuracy of 82% in predicting surface quality. The model divides produced sample parts into quality classes with a surface roughness between Ra 0.3 and Ra 2.3. Being used in industrial processes, the developed ML model enables reliable prediction of surface quality without manual measurement and evaluation

جغرافية الموضوع: IWI:329

وصف الملف: text/html

Relation: vignette : https://epub.fh-joanneum.at/titlepage/urn/urn:nbn:at:at-fhj:3-1131/128; urn:nbn:at:at-fhj:3-1131; https://resolver.obvsg.at/urn:nbn:at:at-fhj:3-1131; local:99147708434703331; system:AC16970034

الاتاحة: https://doi.org/10.1145/3605423.3605449
https://epub.fh-joanneum.at/doi/10.1145/3605423.3605449
https://resolver.obvsg.at/urn:nbn:at:at-fhj:3-1131

المؤلفون: Yaolin ZHU, Wanwan MU, Jinmei WANG, Wenya LI

المصدر: Xi'an Gongcheng Daxue xuebao, Vol 35, Iss 6, Pp 46-53 (2021)

مصطلحات موضوعية: cashmere, wool, bilinear convolutional neural network model, feature fusion, transfer training, Materials of engineering and construction. Mechanics of materials, TA401-492, Environmental engineering, TA170-171

وصف الملف: electronic resource

Relation: http://journal.xpu.edu.cn/en/#/digest?ArticleID=1123; https://doaj.org/toc/1674-649X

URL الوصول: https://doaj.org/article/f0e5bfff87a441eb8f7480b9ff2b9ad5

المؤلفون: Gong Cheng, Yuying Ban, Xiaoqing Deng, Huan Li, Hongrui Zhang, Guangqiang Li, Lingyi Liao, Rehan Khan

المصدر: Frontiers in Earth Science, Vol 10 (2023)

مصطلحات موضوعية: ion adsorption rare earth ore, remote sensing, quantitative inversion, convolutional neural network model, GF-2 image, RE2O3 content, Science

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/feart.2022.1086325/full; https://doaj.org/toc/2296-6463

URL الوصول: https://doaj.org/article/6523ab517374480083c0a179bd455e95

المؤلفون: Nicole Barbour, Alexander J. Robillard, George L. Shillinger, Vyacheslav Lyubchich, David H. Secor, William F. Fagan, Helen Bailey

المصدر: Ecosphere, Vol 14, Iss 1, Pp n/a-n/a (2023)

مصطلحات موضوعية: convolutional neural network model, dive profile, dynamic time warp clustering, machine learning, migratory species, movement ecology, Ecology, QH540-549.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2150-8925

URL الوصول: https://doaj.org/article/1d0fd64be9de459b94550fec2aa0f03c

المؤلفون: Shaik Mazhar Hussain, Syed Ghouse

المصدر: International Journal of Public Health Science (IJPHS), 12(2), 673~681, (2023-06-01)

مصطلحات موضوعية: Accuracy, Enhanced convolutional neural network model (E-CNN), F1-Score, Modified visual geometry group (VGG) model, Monkeypox, Precision, Recall

Relation: https://doi.org/10.11591/ijphs.v12i2.22310; oai:zenodo.org:7824272

الاتاحة: https://doi.org/10.11591/ijphs.v12i2.22310

المؤلفون: Ajib, Susanto, Ibnu Utomo, Wahyu Mulyono, Christy, Atika Sari, Eko Hari, Rachmawanto, De Rosal, Ignatius Moses Setiadi, Md Kamruzzaman, Sarker

المصدر: International Journal of Electrical and Computer Engineering (IJECE), 13(6), 6629-6636, (2023-12-01)

مصطلحات موضوعية: Custom convolutional neural network model, Deep learning recognition, Handwritten recognition, Javanese script recognition, Optical character recognition

Relation: oai:zenodo.org:10437597

الاتاحة: https://doi.org/10.11591/ijece.v13i6.pp6629-6636

المؤلفون: Adel Sulaiman, Vatsala Anand, Sheifali Gupta, Yousef Asiri, M. A. Elmagzoub, Mana Saleh Al Reshan, Asadullah Shaikh

المصدر: Diagnostics; Volume 13; Issue 9; Pages: 1651

مصطلحات موضوعية: chest X-ray (CXR), k-fold validation, cancer, healthy, segmentation, convolutional neural network model, lung diseases

وصف الملف: application/pdf

Relation: Machine Learning and Artificial Intelligence in Diagnostics; https://dx.doi.org/10.3390/diagnostics13091651

الاتاحة: https://doi.org/10.3390/diagnostics13091651

المؤلفون: Xinrui Huang, Zhaotong Li, Minghui Zhang, Song Gao

المصدر: Frontiers in Oncology, Vol 12 (2022)

مصطلحات موضوعية: prostate cancer, pathology image, convolutional neural network model, feature fusion, classification, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fonc.2022.994950/full; https://doaj.org/toc/2234-943X

URL الوصول: https://doaj.org/article/d3523b0ed5d045e5b91bb8a965d0100b

المؤلفون: Gagandeep Kaur, Ritesh Sinha, Puneet Kumar Tiwari, Srijan Kumar Yadav, Prabhash Pandey, Rohit Raj, Anshu Vashisth, Manik Rakhra

المصدر: Neuroscience Informatics, Vol 2, Iss 3, Pp 100035- (2022)

مصطلحات موضوعية: Artificial Intelligence (AL), Machine learning (ML), Deep neural learning (DL), Convolutional Neural Network Model (CNN), Artificial Neural Networks (ANN), Security, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772528621000352; https://doaj.org/toc/2772-5286

URL الوصول: https://doaj.org/article/b9a9ceb76dad44dd9eb9be8af43f4d12

المؤلفون: Wei Huang, Shasha Sun, Zhengyu Yu, Shanshan Lu, Hao Feng

المصدر: Frontiers in Pharmacology, Vol 13 (2022)

مصطلحات موضوعية: chronic cervicitis, cervical cancer, colposcopy images, deep learning, convolutional neural network model, Therapeutics. Pharmacology, RM1-950

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2022.911962/full; https://doaj.org/toc/1663-9812

URL الوصول: https://doaj.org/article/f7a0d6b3173b44a5a308fa4727a1eb2e

المؤلفون: Devi, Yerrarapu Sravani, Kumar, Singam Phani

المصدر: IAES International Journal of Artificial Intelligence (IJ-AI); Vol 11, No 4: December 2022; 1287-1296 ; 2252-8938 ; 2089-4872 ; 10.11591/ijai.v11.i4

مصطلحات موضوعية: Convolutional neural network model, Data augmentation, Deep learning, Diabetic retinopathy, Resnet50

وصف الملف: application/pdf

Relation: https://ijai.iaescore.com/index.php/IJAI/article/view/21692/13462; https://ijai.iaescore.com/index.php/IJAI/article/view/21692

الاتاحة: https://ijai.iaescore.com/index.php/IJAI/article/view/21692
https://doi.org/10.11591/ijai.v11.i4.pp1287-1296

المؤلفون: Kaijian He, Don Wu, Yingchao Zou

المصدر: Mathematics; Volume 10; Issue 16; Pages: 2999

مصطلحات موضوعية: tourist arrival forecast, variational mode decomposition, empirical mode decomposition, multiscale analysis, deep learning model, convolutional neural network model, seasonal ARIMA, ARIMA

وصف الملف: application/pdf

Relation: Engineering Mathematics; https://dx.doi.org/10.3390/math10162999

الاتاحة: https://doi.org/10.3390/math10162999

المؤلفون: Yingchao Zou, Kaijian He

المصدر: Mathematics; Volume 10; Issue 14; Pages: 2413

مصطلحات موضوعية: crude oil price, value-at-risk, multivariate empirical mode decomposition (MEMD) model, multi-scale analysis, convolutional neural network model

وصف الملف: application/pdf

Relation: Financial Mathematics; https://dx.doi.org/10.3390/math10142413

الاتاحة: https://doi.org/10.3390/math10142413

المؤلفون: Umesh Kumar Lilhore, Agbotiname Lucky Imoize, Cheng-Chi Lee, Sarita Simaiya, Subhendu Kumar Pani, Nitin Goyal, Arun Kumar, Chun-Ta Li

المصدر: Mathematics; Volume 10; Issue 4; Pages: 580

مصطلحات موضوعية: convolutional neural network model, ECNN, deep neural network, cassava leaf disease identification, global average election polling layer

وصف الملف: application/pdf

Relation: Mathematics and Computer Science; https://dx.doi.org/10.3390/math10040580

الاتاحة: https://doi.org/10.3390/math10040580

المؤلفون: An, Qi

مصطلحات موضوعية: 510 Mathematik, skin cancer diagnosing, web application, convolutional neural network model, Chatterbot, Application Programming Interface

وصف الملف: application/pdf

Relation: https://depositonce.tu-berlin.de/handle/11303/16947; http://dx.doi.org/10.14279/depositonce-15726

الاتاحة: https://depositonce.tu-berlin.de/handle/11303/16947
https://doi.org/10.14279/depositonce-15726