Výsledky vyhledávání - "Gope, Hira Lal"

Akademický článek

Comparative analysis of YOLO models for green coffee bean detection and defect classification.

Autor: Gope, Hira Lal¹ (AUTHOR) hlgope@sau.ac.bd, Fukai, Hidekazu² (AUTHOR) fukai.hidekazu.r3@f.gifu-u.ac.jp, Ruhad, Fahim Mahafuz³ (AUTHOR) mahafuzfahim@gmail.com, Barman, Shohag⁴ (AUTHOR) shohag3340csecu@gmail.com

Publikováno v: Scientific Reports. 11/22/2024, Vol. 14 Issue 1, p1-16. 16p.

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Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine

Autor: Gope, Hira Lal, Fukai, Hidekazu

The aim of this study is to develop a system which can identify and sort peaberries automatically at low cost for coffee producers in developing countries. In this paper, the focus is on the classification of peaberries and normal coffee beans using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bb11a43ade5075ad6a98cc71e4401eb

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Akademický článek

Peaberry and normal coffee bean classification using CNN, SVM, and KNN: Their implementation in and the limitations of Raspberry Pi 3.

Autor: Gope, Hira Lal, Hidekazu Fukai

Publikováno v: AIMS Agriculture & Food; 2022, Vol. 7 Issue 1, p149-167, 19p

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Conference

A Boolean network inference from time-series gene expression data using a statistical method.

Autor: Barman, Shohag, Gope, Hira Lal, Kwon, Yung-Keun

Publikováno v: ACM International Conference Proceeding Series; 4/10/2020, p1-5, 5p

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