Application of electronic tongue for fresh foods quality evaluation: A review
H Jiang, M Zhang, B Bhandari… - Food Reviews …, 2018 - Taylor & Francis
Fresh foods occupy an important position in the human diet. A growing number of
consumers are attracted by fresh foods due to their high nutritional value, healthy image …
consumers are attracted by fresh foods due to their high nutritional value, healthy image …
Recent developments of green analytical techniques in analysis of tea's quality and nutrition
Q Chen, D Zhang, W Pan, Q Ouyang, H Li… - Trends in Food Science …, 2015 - Elsevier
Highlights•Conventional analytical methods to tea quality and nutrition are
reviewed.•Applications of green analytical tools to tea quality and nutrition are …
reviewed.•Applications of green analytical tools to tea quality and nutrition are …
Feature selection and analysis on correlated gas sensor data with recursive feature elimination
Support vector machine recursive feature elimination (SVM-RFE) is a powerful feature
selection algorithm. However, when the candidate feature set contains highly correlated …
selection algorithm. However, when the candidate feature set contains highly correlated …
Comparison of random forest, support vector machine and back propagation neural network for electronic tongue data classification: Application to the recognition of …
Random forest (RF) has been proposed on the basis of classification and regression trees
(CART) with “ensemble learning” strategy by Breiman in 2001. In this paper, RF is …
(CART) with “ensemble learning” strategy by Breiman in 2001. In this paper, RF is …
A simple voltammetric electronic tongue for the analysis of coffee adulterations
TCB de Morais, DR Rodrigues, UTCP Souto… - Food chemistry, 2019 - Elsevier
This work presents a simple and low-cost analytical approach to detect adulterations in
ground roasted coffee by using voltammetry and chemometrics. The voltammogram of a …
ground roasted coffee by using voltammetry and chemometrics. The voltammogram of a …
Mapping social impact: A bibliometric analysis
Social dimension is a fundamental element in the evaluation of initiatives and policies that
are demanded and promoted by public and private organizations as well as society as a …
are demanded and promoted by public and private organizations as well as society as a …
Sentiment classification within online social media using whale optimization algorithm and social impact theory based optimization
In recent years, social networks have become an important part of daily life and are
becoming increasingly important. In this study, sentiment analysis or opinion mining, which …
becoming increasingly important. In this study, sentiment analysis or opinion mining, which …
Classification of heavy metal ions present in multi-frequency multi-electrode potable water data using evolutionary algorithm
Access to potable water for the common people is one of the most challenging tasks in the
present era. Contamination of drinking water has become a serious problem due to various …
present era. Contamination of drinking water has become a serious problem due to various …
Early Detection of Mixed Volatile Organic Compounds to Circumvent Calamitous Li-Ion Battery Thermal Runaway
Energy-dense lithium-ion batteries (LIBs) are susceptible to thermal runaway under abuse
conditions yielding volatile organic compounds (VOCs) and gases below 100° C; hence …
conditions yielding volatile organic compounds (VOCs) and gases below 100° C; hence …
Enhancing electronic nose performance: A novel feature selection approach using dynamic social impact theory and moving window time slicing for classification of …
This paper presents a novel multiobjective wrapper approach using dynamic social impact
theory based optimizer (SITO) and moving window time slicing (MWTS) for the performance …
theory based optimizer (SITO) and moving window time slicing (MWTS) for the performance …