Labelling的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

Solid-State NMR and Organic Geochemistry

為了解決Labelling的問題，作者Mao, Jingdong 這樣論述：

Solid-State NMR and Organic Geochemistry explains solid-state NMR from the point-of-view of organic geochemists interested in applying solid-state NMR in research. Sections describe basic concepts of solid-state NMR adapted for non-NMR specialists as well as an overview of organic geochemistry fo

r NMR specialists. The essentials for acquiring reliable spectra of complex organic matter are also discussed, along with an introduction to the systematic and advanced solid-state NMR techniques and approaches to characterizing complex organic mixtures developed in Dr. Mao’s laboratory. Other secti

ons cover practical aspects of performing solid-state NMR experiments of complex organic matter and applications of solid-state NMR in organic geochemistry. Applications cover geochemically important functional groups and biopolymers, followed by organic matter from soils, water, sediments, and aero

sols, peat, coal, kerogen, and oil shale. Finally, the book covers isotopic enrichment and labelling and solid-state NMR and their applications in organic geochemistry.

Labelling進入發燒排行的影片

Computer Vision-Based Post-Earthquake Inspections on Building Safety Assessment

為了解決Labelling的問題，作者Alvin Kwek 這樣論述：

Safety assessment in structural health monitoring is one of the important factors for buildings. Structural health monitoring for building inspection is a necessity to provide faster danger responses and reduce threats. However, building infrastructures were exposed to natural disaster and lifetime

. For the safety assessment during disaster, the image that were taken by the expert urgently from the site does not always produce a good quality image. Therefore, the Hybrid-GAN which comprise of ESRGAN and DeblurGANv2 were used as the image repairing method that generating better images. Meanwhil

e, Deep Learning techniques of Convolutional Neural Network (CNN) usage has significantly increase in the modern days especially computer vision-based approach for safety assessment in semantic segmentation task. Moreover, this research proposed Transfer Learning U-Net (TF-Unet) Algorithm to detect

and classify building components which are column and structural wall alongside with the damage level according to the Taiwan codes for building evaluation assessment. Furthermore, the pre-train model were used to predict three case studies to test the capability of TF-Unet in handling real word dat

aset.

Atrocity Labelling: From Crimes Against Humanity to Genocide Studies

為了解決Labelling的問題，作者Beham, Markus P. 這樣論述：

Markus P. Beham is Assistant Professor at the University of Passau, Germany.

HOW COVID-19 IMPACTS THE PURCHASE INTENTION OF ORGANIC FOOD IN SOUTHEAST ASIA

為了解決Labelling的問題，作者NGUYEN NGOC THUY 這樣論述：

Organic food industry growth continues to garner increasing interest from researchers and agribusiness entrepreneurs, particularly in the context of emerging and developing countries. This study identifies the role of COVID-19, availability, price, trust in eco-labels, health consciousness, environ

mental concern, organic knowledge, subjective norm, and perceived behavioral control as driving forces for the intention to purchase organic food by customers from emerging countries in Southeast Asia.Data was collected from 449 respondents. A Structural Equation Modeling (SEM) approach was used in

the analysis. The findings indicate significant shifts in how people in Southeast Asia eat, shop, and engage with food. Indeed, the survey findings indicated (i) a shift toward healthier diets under the impact of COVID-19; (ii) an increase in the attitude towards organic products due to eco-label tr

ust; (iii) a change in health consciousness and organic knowledge because of eco-label trust.The study aided stakeholders and organic food manufacturers in appreciating the COVID-19 market environment, which is crucial for gaining a complete understanding of the market and ensuring the organic food

industry's sustainability. A novel research approach is proposed and validated in connection to individual purchasing decisions in the context of global health concerns, a field of study that is currently neglected in the literature. As a result of the study, a deeper understanding of green consumpt

ion, particularly in the Southeast Asian market, has been gained.