Search research articles

お問い合わせ

JoVEについて

概要リーダーシップブログ JoVEヘルプセンター

著者向け

出版プロセス編集委員会範囲と方針査読よくある質問投稿

図書館員向け

推薦の声購読アクセスリソース図書館諮問委員会よくある質問

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments アーカイブ

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教員リソースセンター教員サイト

プライバシーポリシー

関連する概念動画

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え

Same author

Associations between body image, well-being and eating behaviors in Lebanese adults aged between 18 and 35 years: a cross-sectional study.

BMC psychology·2026

Same author

Multi-annual spectral data of Chardonnay grapevine leaves presenting yellows diseases and confounding symptoms.

Scientific data·2025

Same author

The interplay of job satisfaction, stress, and mental well-being: Examining the role of gender and education.

Work (Reading, Mass.)·2025

Same author

Mental health during the Lebanese economic crisis: Association between financial well-being, anxiety, and depression.

The International journal of social psychiatry·2025

Same author

Topological data analysis and machine learning for COVID-19 detection in CT scan lung images.

BMC biomedical engineering·2025

Same author

Root cause prediction for failures in semiconductor industry, a genetic algorithm-machine learning approach.

Scientific reports·2023

Search research articles

関連する実験動画

Updated: Feb 23, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

中赤外線スペクトル分析と高度な変数選択および教師あり分類を用いたイチゴ成熟度評価の強化

Abbas Rammal^1,2,3, Rabih Assaf⁴, Eric Perrin⁵

¹Faculty of Sciences, Mathematics and Informatics Department, Phoenicia University, Beirut, Lebanon.

Scientific reports

|February 21, 2026

まとめ

No abstract available in PubMed .

キーワード:

特徴選択アルゴリズムメタヒューリスティックアルゴリズム中赤外線分光法イチゴ成熟度評価教師あり分類

さらに関連する動画

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

関連する実験動画

Last Updated: Feb 23, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019