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Prof. Ying Huang | Machina Learning | Best Researcher Award.

Guangxi Eco-engineering Vocational And Technical College,China

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πŸ‘¨β€πŸŽ“ Bio Summary:

Β Prof. Ying Huang is a distinguished academic with a diverse background in electronic information engineering and agricultural electrification and automation. He earned his B.S. degree from South China Agricultural University in 2004, followed by an M. Eng. in 2007. Currently serving as a Professor at Guangxi Eco-engineering Vocational and Technical College, his career spans a wide range of research interests and achievements.

πŸŽ“ Education:

Ying Huang completed his B.S. degree in electronic information engineering and pursued further studies, obtaining an M. Eng. in agricultural electrification and automation, both from South China Agricultural University, China.

πŸ” Research Focus:

Prof. Huang’s research focuses on the intersection of technology and agriculture, particularly in the realms of big data, machine learning, intelligent control, and detection technology. His work explores innovative applications of electronic information to enhance agricultural practices.

πŸ† Honors & Awards:

Prof. Huang has been recognized for his contributions to academia and research, though specific honors and awards may be detailed in his professional portfolio.

Professional Experience: πŸ’Ό

With a wealth of experience in academia, Prof. Huang currently holds the position of Professor at Guangxi Eco-engineering Vocational and Technical College, where he contributes to both teaching and research endeavors.

πŸ“š Top Noted Publications :

Title: Firm social management system for supporting IoT users in application environment

Authors: Huang, Y.

Journal: Journal of Network and Computer Applications, 2024, 224, 103840

Abstract: This article discusses a firm social management system designed to support IoT users in application environments. The link to the article and related documents is disabled, and it has not yet received any citations.

 

Title: BAS-ALSTM: analyzing the efficiency of artificial intelligence-based English translation system

Authors: Li, S., Huang, Y.

Journal: Journal of Ambient Intelligence and Humanized Computing, 2024, 15(1), pp. 765–777

Abstract: This study evaluates the efficiency of an artificial intelligence-based English translation system. The link to the article and related documents is disabled, and it has not yet received any citations.

 

Title: Design of Fruit-Carrying Monitoring System for Monorail Transporter in Mountain Orchard

Authors: Li, Z., Zhou, Y., Lyu, S., Yi, Y., Zhao, C.

Journal: Journal of Circuits, Systems and Computers, 2023, 32(15), 2350264

Abstract: This paper presents the design of a monitoring system for monitoring fruit-carrying monorail transporters in mountain orchards. The article is open access and has not yet received any citations.

 

Title: Improved SVM-Based Soil-Moisture-Content Prediction Model for Tea Plantation

Authors: Huang, Y.

Journal: Plants, 2023, 12(12), 2309

Abstract: This article presents an improved SVM-based prediction model for soil-moisture content in tea plantations. The article is open access and has received 1 citation.

 

Title: Design of a Cargo-Carrying Analysis System for Mountain Orchard Transporters Based on RGB-D Data

Authors: Li, Z., Zhou, Y., Zhao, C., Wen, W., Huang, Y.

Journal: Applied Sciences (Switzerland), 2023, 13(10), 6059

Abstract: This paper discusses the design of an analysis system for analyzing cargo-carrying mountain orchard transporters using RGB-D data. The article is open access and has not yet received any citations.

Author Metrics πŸ“Š :Β 

Prof. Huang’s impact within his field can be measured through various author metrics, reflecting the influence and significance of his scholarly work.

πŸ“… Research Timeline:

Over the years, Prof. Huang’s research trajectory has evolved, marked by milestones in academia and significant contributions to the advancement of knowledge in his areas of expertise.

Prof Ying Huang | Machina Learning | Best Researcher Award |

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