The Research on Freshness Change Monitoring of Animal Products Based on SqueezeNet DOI

Shao Tang. Sun,

Chunping Tan

Published: Nov. 22, 2024

Language: Английский

Quality prediction of seabream (SPARUS AURATA) by DEEP learning algorithms and explainable artificial intelligence DOI
İsmail Yüksel GENÇ, Remzi Gürfidan, Tuncay Yi̇ği̇t

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 474, P. 143150 - 143150

Published: Jan. 31, 2025

Language: Английский

Citations

1
Integrating machine learning, optical sensors, and robotics for advanced food quality assessment and food processing DOI Creative Commons
Inhwan Lee, Luyao Ma

Food Innovation and Advances, Journal Year: 2025, Volume and Issue: 4(1), P. 65 - 72

Published: Jan. 1, 2025

Language: Английский

Citations

0
An impedance-based beef freshness detection method using GcForest learning model DOI
Xinxing Li, Shu Li, Jianjun Tian

et al.

Journal of Food Measurement & Characterization, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Language: Английский

Citations

0
Classification of Sugarcane Leaf Disease with AlexNet Model DOI Open Access
Ramazan Kursun, Elham Tahsin Yasin, Murat Köklü

et al.

Proceedings of international conference on intelligent systems and new applications., Journal Year: 2024, Volume and Issue: unknown

Published: April 28, 2024

This study evaluates the influence of activation functions on performance AlexNet deep learning model in classifying sugarcane diseases. Two popular functions, ReLU and LeakyReLU, were compared terms classification accuracy computational efficiency. The function, known for its simplicity speed, achieved an 87.90% with a total training testing time 47 minutes. In contrast, which allows small gradient when input is negative hence provides continuity process, obtained higher 90.67%, albeit at cost, taking 54 minutes phase. These results highlight trade-off between deployment models agricultural applications. suggests that while LeakyReLU can lead to more accurate models, remains competitive choice efficiency paramount. Future research should focus optimizing balance potentially through tuning parameters or development hybrid models.

Language: Английский

Citations

1
Optical evaluation of internal meat quality deterioration in a tuna fillet based on second-harmonic generation anisotropy measurement DOI
Tomonobu M. Watanabe, Yasuhiro Maeda,

Go Shioi

et al.

Journal of Food Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 112422 - 112422

Published: Nov. 1, 2024

Language: Английский

Citations

1
Biological Approaches to Improve Shelf-Life of Baked Goods DOI

Priya Rani,

Soumya Singh, Sachin Dhanda

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
The Research on Freshness Change Monitoring of Animal Products Based on SqueezeNet DOI

Shao Tang. Sun,

Chunping Tan

Published: Nov. 22, 2024

Language: Английский

Citations

0