[HTML][HTML] A critical review of recent trends in sample classification using Laser-Induced Breakdown Spectroscopy (LIBS)
L Brunnbauer, Z Gajarska, H Lohninger… - TrAC Trends in Analytical …, 2023 - Elsevier
LIBS-based classification has experienced an ever-increasing interest in the last few years.
LIBS is a well-suited technique for classification tasks based on elemental fingerprinting …
LIBS is a well-suited technique for classification tasks based on elemental fingerprinting …
Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling
C Araujo-Andrade, E Bugnicourt… - Waste management …, 2021 - journals.sagepub.com
In the increasingly pressing context of improving recycling, optical technologies present a
broad potential to support the adequate sorting of plastics. Nevertheless, the commercially …
broad potential to support the adequate sorting of plastics. Nevertheless, the commercially …
Application of deep transfer learning for automated brain abnormality classification using MR images
Magnetic resonance imaging (MRI) is the most common imaging technique used to detect
abnormal brain tumors. Traditionally, MRI images are analyzed manually by radiologists to …
abnormal brain tumors. Traditionally, MRI images are analyzed manually by radiologists to …
[PDF][PDF] Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
P Pławiak, UR Acharya - Neural Comput. Appl, 2020 - researchgate.net
The heart disease is one of the most serious health problems in today's world. Over 50
million persons have cardiovascular diseases around the world. Our proposed work based …
million persons have cardiovascular diseases around the world. Our proposed work based …
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring
In the recent decades, credit scoring has become a very important analytical resource for
researchers and financial institutions around the world. It helps to boost both profitability and …
researchers and financial institutions around the world. It helps to boost both profitability and …
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Hepatocellular carcinoma (HCC) is a common type of liver cancer worldwide. Patients with
HCC have rare chances of survival. The chances of survival increase, if the cancer is …
HCC have rare chances of survival. The chances of survival increase, if the cancer is …
A novel machine learning approach for early detection of hepatocellular carcinoma patients
Liver cancer is quite common type of cancer among individuals worldwide. Hepatocellular
carcinoma (HCC) is the malignancy of liver cancer. It has high impact on individual's life and …
carcinoma (HCC) is the malignancy of liver cancer. It has high impact on individual's life and …
Automated Parkinson's disease recognition based on statistical pooling method using acoustic features
Parkinson's disease is one of the mostly seen neurological disease. It affects to nervous
system and hinders people's vital activities. The majority of Parkinson's patients lose their …
system and hinders people's vital activities. The majority of Parkinson's patients lose their …
A brief review of new data analysis methods of laser-induced breakdown spectroscopy: machine learning
D Zhang, H Zhang, Y Zhao, Y Chen, C Ke… - Applied Spectroscopy …, 2022 - Taylor & Francis
Laser-induced breakdown spectroscopy (LIBS) is a technology of content analysis and
composition analysis based on the atomic excitation and emission spectrum of materials. It …
composition analysis based on the atomic excitation and emission spectrum of materials. It …
Identifying traffic context using driving stress: A longitudinal preliminary case study
Many previous studies have identified that physiological responses of a driver are
significantly associated with driving stress. However, research is limited to identifying the …
significantly associated with driving stress. However, research is limited to identifying the …