Optimizing Machine Learning Parameters for Classifying the Sweetness of Pineapple Aroma Using Electronic Nose

Author:

Hasan Mhd, ,Sarno Riyanarto,Sabilla Shoffi, ,

Publisher

The Intelligent Networks and Systems Society

Subject

General Engineering,General Computer Science

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Approach Sensory Analysis Using Targeted Sensors in Electronic Nose for Assessing Green Tea Quality;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10

2. Optimal Feature Selection Algorithm (FSA) for Electronic Nose Signal;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14

3. The Darknet Framework YOLOV7 is Used for Pineapple Fruit Ripeness Classification;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14

4. Non-Compliance Level of Motor Vehicle Taxpayer Classification;2023 14th International Conference on Information & Communication Technology and System (ICTS);2023-10-04

5. A deep neural network with electronic nose for water stress prediction in Khasi Mandarin Orange plants;Measurement Science and Technology;2023-09-21

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