Suchergebnisse - "Classification Module"

Nonlinear Classifiers Based on DNA Logic Circuits for Cancer Diagnosis

Autoren: Chunlin Chen Zhixiang Yin Shiyin Li et al.

Schlagwörter: Medicine, Genetics, Biotechnology, Cancer, Plant Biology, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, three different cancers, squamous cell carcinoma, random forest algorithm, dna logic circuits, dna logic circuit, nonlinear classifiers based, based nonlinear classifiers, 4 %, 2 %, respectively, logic classification module, nonlinear classifier based, constructed nonlinear classifiers, nonlinear classification, 6 %, classification performance, work shows, strong agreement, new approach

Time: 96

Relation: https://figshare.com/articles/journal_contribution/Nonlinear_Classifiers_Based_on_DNA_Logic_Circuits_for_Cancer_Diagnosis/29132406

Verfügbarkeit: https://doi.org/10.1021/acssynbio.5c00129.s001
https://figshare.com/articles/journal_contribution/Nonlinear_Classifiers_Based_on_DNA_Logic_Circuits_for_Cancer_Diagnosis/29132406

Comparative analysis of web-based machine learning models

Autoren: Ana-Maria ȘTEFAN Elena OVREIU Mihai CIUC

Quelle: Revista Română de Informatică și Automatică, Vol 34, Iss 2, Pp 49-63 (2024)

Schlagwörter: healthcare, web-based machine learning models, decision support, classification module, medical image analysis, Automation, T59.5, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://rria.ici.ro/documents/1161/art._4_Stefan_Ovreiu_Ciuc.pdf; https://doaj.org/toc/1220-1758; https://doaj.org/toc/1841-4303

Zugangs-URL: https://doaj.org/article/7c2a0a98ab0645d5bb1b88771030fff6

An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection

Autoren: Micheal Dutt Aditya Gupta Morten Goodwin et al.

Quelle: Applied Sciences, Vol 14, Iss 11, p 4722 (2024)

Schlagwörter: classification module, computational efficiency, deep learning, fall detection, gradient-weighted class activation mapping, OpenPose, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/11/4722; https://doaj.org/toc/2076-3417; https://doaj.org/article/09da35d0e2eb46269751a99cfbd49905

Verfügbarkeit: https://doi.org/10.3390/app14114722
https://doaj.org/article/09da35d0e2eb46269751a99cfbd49905

Self-Taught Anomaly Detection With Hybrid Unsupervised/Supervised Machine Learning in Optical Networks

Autoren: Xiaoliang Chen Baojia Li Roberto Proietti et al.

Quelle: Journal of Lightwave Technology. 37:1742-1749

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Data clustering module (DCM), data regression and classification module (DRCM), hybrid unsupervised and supervised machine learning, self-taught anomaly detection

Dateibeschreibung: application/pdf

Zugangs-URL: https://ieeexplore.ieee.org/document/8656569/
http://ui.adsabs.harvard.edu/abs/2019JLwT...37.1742C/abstract
https://www.osapublishing.org/jlt/abstract.cfm?URI=jlt-37-7-1742
https://ieeexplore.ieee.org/ielaam/50/8680719/8656569-aam.pdf
https://hdl.handle.net/11583/2972265
https://ieeexplore.ieee.org/document/8656569
https://doi.org/10.1109/JLT.2019.2902487

A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing

Autoren: Dai, Fei Liu, Guozhi Huang, Bi et al.

Weitere Verfasser: Dai, Fei Liu, Guozhi Huang, Bi et al.

Quelle: 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
https://hal.science/hal-04030839
2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Aug 2022, Espoo, Finland. pp.250-257, ⟨10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00070⟩

Schlagwörter: Data Privacy, Deep Learning, Local Differential Privacy, classification module, perturbation module, Perturbation methods, Computational modeling, [INFO]Computer Science [cs]

Geographisches Schlagwort: Espoo, Finland

Verfügbarkeit: https://hal.science/hal-04030839
https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00070

Malicious URL Detection and Identification

Autoren: Anjali B. Sayamber Arati M. Dixit The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Anjali B. Sayamber Arati M. Dixit The Pennsylvania State University CiteSeerX Archives

Quelle: http://research.ijcaonline.org/volume99/number17/pxc3898247.pdf.

Schlagwörter: General Terms Algorithms, Attack Types. Keywords Machine Learning, Feature Extraction, Benign, Malicious Web Pages, Classification Module, Web-Based Attacks

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.678.5517; http://research.ijcaonline.org/volume99/number17/pxc3898247.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.678.5517
http://research.ijcaonline.org/volume99/number17/pxc3898247.pdf

線型扭簧自動化光學檢測系統之研發 ; Development of an Automatic Optical Inspection System for Wire Torsion Springs

Autoren: 張嘉華

Schlagwörter: 自動化光學檢測, 線型扭簧, 尺寸量測, 分類模組, Automatic optical inspection, wire torsion springs, dimension measurements, classification module

Relation: http://ir.lib.ntust.edu.tw/handle/987654321/46087; http://ir.lib.ntust.edu.tw/bitstream/987654321/46087/-1/index.html

Verfügbarkeit: http://ir.lib.ntust.edu.tw/handle/987654321/46087
http://ir.lib.ntust.edu.tw/bitstream/987654321/46087/-1/index.html

具備自然互動能力之智慧型家管機器人關鍵軟硬體組件之開發與整合-子計畫二：智慧型家管機器人之立體視覺以及多特徵物體辨識之設計與實現 ; Project Ii: Design and Implementation of Stereo Visual and Multiple Characteristic Object Recognition for Intelligent Home Care Robot

Autoren: 江正雄 淡江大學電機工程學系

Weitere Verfasser: 江正雄 淡江大學電機工程學系

Schlagwörter: 機器人視覺, CCD感測器, 物件辨識與追蹤模組, 資料儲存與分類模組, 雙眼視覺模組, 多攝影機協同設計模組, 身份與行為辨識模組, 以及未知物品學習辨識模組, Robotic Vision, CCD Sensor, Object Recognition and Tracking Module, Data Storage and Classification Module, Stereo Vision Module, Multiple Camera Co-working Module, Identification and Behavior Module, Object Learning Module

Relation: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/54601

Verfügbarkeit: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/54601

Fine-grained Prototype Network for MRI Sequence Classification.

Autoren: Yuan C Jia X Wang L et al.

Quelle: Current medical imaging [Curr Med Imaging] 2025; Vol. 21, pp. e15734056361649.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Bentham Science Country of Publication: United Arab Emirates NLM ID: 101762461 Publication Model: Print Cited Medium: Internet ISSN: 1573-4056 (Electronic) NLM ISO Abbreviation: Curr Med Imaging Subsets: MEDLINE

MeSH-Schlagworte: Magnetic Resonance Imaging*/methods , Image Processing, Computer-Assisted*, Algorithms ; Diagnosis, Computer-Assisted ; Image Interpretation, Computer-Assisted ; Dynamic Contrast Enhanced Magnetic Resonance Imaging ; Artificial Intelligence ; Convolutional Neural Networks ; Deep Learning ; Humans