Results 181 to 190 of about 69,601 (311)

Galactomannans: A Suitable Biopolymer to Produce Advanced Food Packaging. [PDF]

Int J Food Sci
Dos Santos Araujo E, de Matos Fonseca J, Monteiro AR, Valencia GA.   +3 more
europepmc   +1 more source

An analysis of some economic factors affecting the meat-packing industry in Kansas

, 2015
R. E. Seltzer
openalex   +1 more source

From “Knife Men” to “Streamlining with Curves”: Structure, Skill, and Gender in British Columbia’s Meat-Packing Industry

, 2016
Timothy Amund Paulson
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Sustainable Approach to Prolong Cold Storage Shelf Life of Plant-Based Meat Using Lactic Acid Bacteria. [PDF]

Foods
Treesuwan K, Tongkhao K, Kantrong H, Yodin K, Klinsoda J, Pengpinit P.   +5 more
europepmc   +1 more source

Decentralization in the meat packing industry

, 2015
Thies, John M.
openalex   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Detection of Quality Deterioration of Packaged Raw Beef Based on Hyperspectral Technology. [PDF]

Food Sci Nutr
Wu C, Feng Y, Cui J, Yao Z, Xu H, Wang S.   +5 more
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Protein oxidation in feed: Occurrence, monitoring, and mitigation strategies. [PDF]

Poult Sci
Lu P, Wang P, Zhou Y, Yang C.
europepmc   +1 more source