Výsledky vyhľadávania - "Transfer learning-based algorithms"

Utilizing Transfer Learning-Based Algorithms for Breast Ultrasound Data in Multi-Instance Classification

Autori: Bota, Maria Aurora Gota, Dan Ioan Bota, Peter a ďalší

Zdroj: 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA). :1-6

Predmety: Deep Learning, Transfer Learning, Breast Ultrasound(BUS), Convolutional Neural Network(CNN), Multi instance classification

Prístupová URL adresa: https://cris.maastrichtuniversity.nl/en/publications/de50b7fb-0930-4b57-b33c-e5d259c34626
https://doi.org/10.1109/ACDSA59508.2024.10467704

Transfer Learning-Based Algorithms for the Detection of Fatigue Crack Initiation Sites: A Comparative Study

Autori: S.Y. Wang T. Guo

Zdroj: Frontiers in Materials, Vol 8 (2021)

Predmety: fatigue crack initiation sites, Technology, machine learning, 0202 electrical engineering, electronic engineering, information engineering, faster R-CNN, 02 engineering and technology, transfer learning, computer vision

Prístupová URL adresa: https://www.frontiersin.org/articles/10.3389/fmats.2021.756798/pdf
https://doaj.org/article/dd2b81edad664600ba03a64c98db147b
https://www.frontiersin.org/articles/10.3389/fmats.2021.756798/full

Using transfer-learning-based algorithms as data reduction strategies for volatile organic compounds classification using plasma spectroscopy

Autori: Xuan-Lun Zhang Cheng-Che Hsu

Zdroj: Journal of Physics D: Applied Physics. 56:324003

Predmety: 11. Sustainability, 0103 physical sciences, 01 natural sciences

Monitoring of machining process anomalies in diamond turning of Ti6Al4V alloy using transfer learning-based algorithms

Autori: K Manjunath Suman Tewary Neha Khatri a ďalší

Zdroj: Computers & Industrial Engineering. 182:109359

MRI Verilerinde Tümör Tespiti için Transfer Tabanlı Derin Öğrenme Algoritması Karşılaştırması ; Analysis of Transfer Learning-Based Algorithms for Tumor Detection in Medical Imaging Data

Autori: Demirel, Cem Soylu, Emel

Zdroj: Volume: 14, Issue: 31322-1339 ; 2564-7377 ; Karadeniz Fen Bilimleri Dergisi ; The Black Sea Journal of Sciences

Predmety: Beyin tümörü, MRI taramaları, Yapay zeka, Bilgisayar destekli görüntü analizleri, Brain tumor, MRI scans, Artificial intelligence, Computer-assisted image analyses, Software Engineering (Other), Yazılım Mühendisliği (Diğer)

Popis súboru: application/pdf

Relation: https://dergipark.org.tr/tr/download/article-file/3806798; https://dergipark.org.tr/tr/pub/kfbd/issue/87003/1455542

Dostupnosť: https://dergipark.org.tr/tr/pub/kfbd/issue/87003/1455542
https://doi.org/10.31466/kfbd.1455542

Using transfer-learning-based algorithms as data reduction strategies for volatile organic compounds classification using plasma spectroscopy.

Autori: Zhang, Xuan-Lun Hsu, Cheng-Che

Zdroj: Journal of Physics D: Applied Physics; 8/10/2023, Vol. 56 Issue 32, p1-11, 11p

Predmety: CONVOLUTIONAL neural networks, PLASMA spectroscopy, DATA reduction, VOLATILE organic compounds, ALGORITHMS, EMISSION spectroscopy

光学遥感图像目标检测的深度学习算法研究进展. (Chinese)

Alternate Title: Progress of research on deep learning algorithms for object detection in optical remote sensing images. (English)

Autori: 徐, 丹青 吴, 一全

Zdroj: Journal of Remote Sensing; Dec2024, Vol. 28 Issue 12, p3045-3073, 29p

Predmety: OPTICAL remote sensing, OBJECT recognition (Computer vision), DETECTION algorithms, SUPERVISED learning, FEATURE extraction, DEEP learning

SOH Estimation of Lithium Battery Under Improved CNN-BIGRU-Attention Model Based on Hiking Optimization Algorithm.

Autori: Dong, Qianli Liu, Ziyang Wang, Hainan a ďalší

Zdroj: World Electric Vehicle Journal; Sep2025, Vol. 16 Issue 9, p487, 27p

Predmety: LITHIUM cells, OPTIMIZATION algorithms, FEATURE extraction, ARTIFICIAL neural networks, DEEP learning

From Volume to Mass: Transforming Volatile Organic Compound Detection with Photoionization Detectors and Machine Learning.

Autori: Cai, Yunfei Che, Xiang Duan, Yusen

Zdroj: Sensors (14248220); Sep2025, Vol. 25 Issue 17, p5314, 18p

Predmety: VOLATILE organic compounds, MACHINE learning, COST control, RESEARCH parks, ENVIRONMENTAL regulations, CALIBRATION, CHEMICAL detectors, REAL-time computing

A hybrid fused-KNN based intelligent model to access melanoma disease risk using indoor positioning system.

Autori: Mishra, Sushruta Das, Himansu Mohapatra, Sunil Kumar a ďalší

Zdroj: Scientific Reports; 3/3/2025, Vol. 15 Issue 1, p1-22, 22p

Multi-layers deep learning model with feature selection for automated detection and classification of highway pavement cracks.

Autori: Elghaish, Faris Matarneh, Sandra Abdellatef, Essam a ďalší

Zdroj: Smart & Sustainable Built Environment; 2025, Vol. 14 Issue 2, p511-535, 25p

Transfer learning for linear regression with differential privacy.

Autori: Hou, Yiming Song, Yunquan Wang, Zhijian

Zdroj: Complex & Intelligent Systems; Jan2025, Vol. 11 Issue 1, p1-13, 13p

Softly Associative Transfer Learning for Cross-Domain Classification.

Autori: Wang, Deqing Lu, Chenwei Wu, Junjie a ďalší

Zdroj: IEEE Transactions on Cybernetics; Nov2020, Vol. 50 Issue 11, p4709-4721, 13p

Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease.

Autori: Kamran, Iqra Naz, Saeeda Razzak, Imran a ďalší

Zdroj: Future Generation Computer Systems. Apr2021, Vol. 117, p234-244. 11p.

Predmety: PARKINSON'S disease, HANDWRITING, DEEP learning, DIAGNOSIS, IDENTIFICATION

Intelligent Nanomaterial Image Characterizations – A Comprehensive Review on AI Techniques that Power the Present and Drive the Future of Nanoscience.

Autori: Krishnamoorthy, Umapathi Balasubramani, Sukanya

Zdroj: Advanced Theory & Simulations; Dec2024, Vol. 7 Issue 12, p1-24, 24p

Predmety: GRAPH neural networks, FEDERATED learning, NANOSCIENCE, ATOMIC force microscopy, TRANSMISSION electron microscopy

An innovative approach for parkinson's disease diagnosis using CNN, NCA, and SVM.

Autori: Dogan, Yahya

Zdroj: Neural Computing & Applications; Nov2024, Vol. 36 Issue 32, p20089-20110, 22p

Predmety: CONVOLUTIONAL neural networks, MACHINE learning, PARKINSON'S disease, SUPPORT vector machines, FEATURE extraction, DEEP learning

An exploratory and automated study of sarcasm detection and classification in app stores using fine-tuned deep learning classifiers.

Autori: Fatima, Eman Kanwal, Hira Khan, Javed Ali a ďalší

Zdroj: Automated Software Engineering; Nov2024, Vol. 31 Issue 2, p1-53, 53p

Online detection of the incidence via transfer learning.

Autori: Yu, Miaomiao Wang, Zhijun Wu, Chunjie

Zdroj: Naval Research Logistics; Oct2024, Vol. 71 Issue 7, p1035-1054, 20p

Predmety: POISSON processes, CUMULATIVE distribution function, QUALITY control charts, ONLINE algorithms, MOVING average process

Discrete wavelet transforms analysis of vibration signals for correlating tool wear in diamond turning of additive manufactured Ti-6Al-4V alloy.

Autori: Manjunath, K Tewary, Suman Khatri, Neha a ďalší

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (Sage Publications, Ltd.); Aug2024, Vol. 238 Issue 10, p1568-1575, 8p

Simulation-based investigation on ultra-precision machining of additively manufactured Ti-6Al-4V ELI alloy and the associated experimental study.

Autori: Manjunath, K Tewary, Suman Khatri, Neha a ďalší

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (Sage Publications, Ltd.); Aug2024, Vol. 238 Issue 10, p1554-1567, 14p