Treffer 41 - 60 von 10.082

41

Machine learning-driven innovations in food processing: A systematic review of applications, challenges, and future developments
Gao, Jilong ; Wang, Shaojin ; Erdogdu, Ferruh ; et al.
In Trends in Food Science & Technology October 2025 164

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42

Adaptive Machine Learning Algorithms for Intrusion Detection System in Cybersecurity
null Hirenkumar D. Shukla
Journal of Information Systems Engineering and Management. 10:401-407

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44

Minimizing Off-Axis Bending Effects on Flexible Surface Acoustic Wave Sensing Powered by Integrated Machine Learning Algorithms
Ji, Z ; Zhou, J ; Guo, Y ; et al.
IEEE Transactions on Industrial Electronics. 72:3194-3201

Resonant frequency Bending Surface acoustic waves Sensors temperature 02 engineering and techn...
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45

Rapid determination and variety identification of active ingredient contents in Chrysanthemi Flos by near-infrared spectroscopy and machine learning
Cheng, Ranran ; Ding, Yangfei ; Jiang, Dongliang ; et al.
In Journal of Food Composition and Analysis December 2025 148 Part 2

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46

Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges
Zhang, Wengang ; Gu, Xin ; Hong, Li ; et al.
In Applied Soft Computing Journal March 2023 136

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47

A machine‐learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs
Andrew McDonald ; Jose Novo Matos ; Joel Silva ; et al.
J Vet Intern Med
Journal of Veterinary Internal Medicine, Vol 38, Iss 6, Pp 2994-3004 (2024)

Male auscultation Heart Murmurs Veterinary medicine Heart Valve Diseases Mitral Valve Insufficien...
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48

Prediction of Exotic (n,2n) Cross Sections Using a Regression Tree Machine Learning Algorithm
Teelock-Gaya, R ; Raffuzzi, V ; Shwageraus, E ; et al.
Nuclear Science and Engineering. :1-20

machine learning (n,2n) reaction Nuclear data
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49

Comparative Machine Learning Algorithms for Dynamic Vegetation Cover Retrieval in Desert Oasis from UAV Time-Series Data
Wang, Ning ; Jin, Fuxin ; Peng, Chaoyong ; et al.
Journal of the Indian Society of Remote Sensing. :1-12

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50

Comparison of Floating-point Representations for the Efficient Implementation of Machine Learning Algorithms ; Srovnání reprezentací v plovoucí desetinné čárce pro efektivní implementaci algoritmů strojového učení
Mishra, Saras Mani ; Tiwari, Ankita ; Shekhawat, Hanumant Singh ; et al.

floating-point represent... deep learning posit training reprezentace s plovoucí... hluboké učení
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51

Comparative Analysis of Machine Learning Algorithms for Analyzing NASA Kepler Mission Data
Vishwarupe, Varad ; Bedekar, Mangesh ; Pande, Milind ; et al.
In Procedia Computer Science 2022 204:945-951

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52

PRO-OS: A MACHINE LEARNING-BASED PROGNOSTIC PREDICTION MODEL FOR OSTEOSARCOMA.
ZENG, KE ; YANG, XIYU ; MU, HAORAN ; et al.
Journal of Mechanics in Medicine & Biology. Mar2025, Vol. 25 Issue 2, p1-20. 20p.

CONVOLUTIONAL neural net... PROGNOSTIC models RANDOM forest algorithms DATABASES DNA methylation
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53

Flooded rice variables from high-resolution multispectral images and machine learning algorithms
Eugenio, Fernando Coelho ; Grohs, Mara ; Schuh, Mateus Sabadi ; et al.
In Remote Sensing Applications: Society and Environment August 2023 31

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54

A deep learning based detection algorithm for anomalous behavior and anomalous item on buses
Liu, Shida ; Bi, Yu ; Li, Qingyi ; et al.
Scientific Reports. 15(1)

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56

Machine learning with PROs in breast cancer surgery; caution: Collecting PROs at baseline is crucial
Linetta B. Koppert ; Jan A. Hazelzet ; Cornelis Verhoef ; et al.
Breast J

Machine Learning 03 medical and health sc... 0302 clinical medicine SDG 3 - Good Health and... Short Communication EMC NIHES-02-65-01
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57

Application of basic machine learning algorithms in railway brake disc temperature prediction
Pavelčík, Vladimír ; Kuba, Erik
In Transportation Research Procedia 2021 55:715-722

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58

Computational algorithm based on health and lifestyle traits to categorize lifemetabotypes in the NUTRiMDEA cohort.
Higuera-Gómez A ; de la O V ; San-Cristobal R ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Humans Male Female Adult Middle Aged Aged
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59
60

Pro Machine Learning Algorithms
V Kishore Ayyadevara ; V Kishore Ayyadevara

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