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Katrin Jödicke, Robin Zirkler, Timo Eckhard, Werner Hofacker and Bernd Jödicke
In modern fruit processing technology, non-destructive quality measuring techniques are sought for determining and controlling changes in the optical, structural, and chemical properties of the products. In this context, changes inside the product can be...
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Piotr M. Marusak
In Model Predictive Control (MPC) algorithms, control signals are generated after solving optimization problems. If the model used for prediction is linear then the optimization problem is a standard, easy to solve, quadratic programming problem with lin...
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Lalit Mohan Kandpal, Jayoung Lee, Jihoon Bae, Santosh Lohumi and Byoung-Kwan Cho
Determining the quality of meat has always been essential for the food industry because consumers prefer superior quality meat. Therefore, the food industry requires the development of a rapid and non-destructive method for meat-quality determination. Ov...
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Didem P. Aykas and Luis Rodriguez-Saona
In this study, we introduce an approach for quickly profiling the nutritional content of fruit juices by using a portable Fourier transform mid-infrared (FT-IR) device. This method enables real-time prediction and simultaneous analysis of key components,...
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Ümmü Gülsüm Söylemez, Malik Yousef, Zülal Kesmen, Mine Erdem Büyükkiraz and Burcu Bakir-Gungor
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing interest to identify and desi...
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Jung-Hun Noh, Dong-Shin Ko, Seung-Jong Lee and Deog-Jae Hur
During the recent decades, global warming by greenhouse gas evolution has attracted worldwide attention and ever increasing strict regulations thereon have become institutionalized as international policies. In the process, more environment-friendly powe...
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M. M. Biliaiev,O. S. Slavinska,R. V. Kyrychenko
Pág. 15 - 22
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Aarón Jarquín-Sánchez, Sergio Salgado-García, David J. Palma-López, Wilder Camacho-Chiu
Pág. 387 - 394
The objective of this study was to predict the concentration of soil organic matter (SOM) in tropical soils using near-infrared spectroscopy (NIRS) for samples measured within a polyethylene bag and without a bag. One hundred and fifty six soil sample...
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Daud Andang Pasalli, Sri Tudjono and Ilham Nurhuda
Pit sand generally has a lower silica content than sand sourced from rivers or crushed stones. The effect of this sand on the creep of concrete has not yet been fully studied. Understanding the creep of concrete can help to estimate the behaviour of stru...
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Jianshen Zhu, Chenxi Wang, Aleksandar Shurbevski, Hiroshi Nagamochi and Tatsuya Akutsu
Inference of chemical compounds with desired properties is important for drug design, chemo-informatics, and bioinformatics, to which various algorithmic and machine learning techniques have been applied. Recently, a novel method has been proposed for th...
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Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu and Xiaogang Qiu
The accurate prediction of air contaminant dispersion is essential to air quality monitoring and the emergency management of contaminant gas leakage incidents in chemical industry parks. Conventional atmospheric dispersion models can seldom give accurate...
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Diana Purwitasari,Oktaviandra Pradita Putri,Wijayanti Nurul Khotimah
Pág. 1 - 8
Abstrak?Uji laboratorium tentang kualitas air baku pada penyediaan dan pengolahan air bersih memperhatikan parameter air terkait faktor fisika, kimia dan biologi. Analisis kualitas air di laboratorium membutuhkan waktu. Usulan sistem akan mempercepat wak...
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Stanislav Letkovský, Sylvia Jencová and Petra Va?anicová
Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial in...
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Wei Zhao, Xinglian Yang, Jingying Wang, Yongkang Zheng and Yue Zhou
Significant thermochemical nonequilibrium effects always exist in the flow field around hypersonic vehicle at extreme flight condition. Previous studies have proposed various thermodynamic and chemical kinetic models to describe the thermochemical nonequ...
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Jing Sun and Genhou Wang
This study was conducted to explore the distribution and changes of groundwater resources in the research area, and to promote the application of geographic information system (GIS) technology and its deep learning methods in chemical type distribution a...
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Ana Luisa Ribeiro da Silva and Maria D. M. C. Ribeiro da Silva
This is a contribution for enlarging the thermodynamic database of organic compounds and ketone derivatives. These data are very relevant to controlling experimental investigations to produce value-added chemical products from biomass. Moreover, the know...
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Olga Kulesha and Harsha Ratnaweera
The membrane bioreactor (MBR) and the biofilm membrane bioreactor (BF-MBR) are among key solutions to water scarcity; however, membrane fouling is the major bottleneck for any expansion of these technologies. Prepolymerized aluminum coagulants tend to ex...
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Yingcong Huang, Kunal Chaturvedi, Al-Akhir Nayan, Mohammad Hesam Hesamian, Ali Braytee and Mukesh Prasad
Parkinson?s disease (PD) is a chronic brain disorder affecting millions worldwide. It occurs when brain cells that produce dopamine, a chemical controlling movement, die or become damaged. This leads to PD, which causes problems with movement, balance, a...
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Thomas J. Tewes, Michael C. Welle, Bernd T. Hetjens, Kevin Saruni Tipatet, Svyatoslav Pavlov, Frank Platte and Dirk P. Bockmühl
Numerous publications showing that robust prediction models for microorganisms based on Raman micro-spectroscopy in combination with chemometric methods are feasible, often with very precise predictions. Advances in machine learning and easier accessibil...
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Ahmad Ali Imran Mohd Ali, Shahrizan Jamaludin, Md Mahadi Hasan Imran, Ahmad Faisal Mohamad Ayob, Sayyid Zainal Abidin Syed Ahmad, Mohd Faizal Ali Akhbar, Mohammed Ismail Russtam Suhrab and Mohamad Riduan Ramli
Corrosion is an undesirable phenomenon resulting in material deterioration and degradation through electrochemical or chemical reactions with the surrounding environment. Additionally, corrosion presents considerable threats in both the short and long te...
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