An extreme learning machine optimized by differential evolution and artificial bee colony for predicting the concentration of whole blood with Fourier Transform Raman spectroscopy

Rapid determination of Staphylococcus aureus enterotoxin B in milk using Raman spectroscopy and chemometric methods

(2022) Yuwan Du et al.   JOURNAL OF RAMAN SPECTROSCOPY

Identification and quantification of adulterated honey by Raman spectroscopy combined with convolutional neural network and chemometrics

(2022) Xijun Wu et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Overfitting One-Dimensional convolutional neural networks for Raman spectra identification

(2022) M. Hamed Mozaffari et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Quantitative analysis of Raman spectra for glucose concentration in human blood using Gramian angular field and convolutional neural network

(2022) Qiaoyun Wang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Auto-encoder-extreme learning machine model for boiler NOx emission concentration prediction

(2022) Zhenhao Tang et al.   ENERGY

An improved differential evolution algorithm and its application in optimization problem

(2021) Wu Deng et al.   Soft Computing

Accurate elemental analysis of alloy samples with high repetition rate laser-ablation spark-induced breakdown spectroscopy coupled with particle swarm optimization-extreme learning machine

(2021) Yarui Wang et al.   SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

Towards development of a novel screening method for identifying Alzheimer’s disease risk: Raman spectroscopy of blood serum and machine learning

(2021) Nicole M. Ralbovsky et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

A review on extreme learning machine

(2021) Jian Wang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A shallow convolutional neural network with elastic nets for blood glucose quantitative analysis using Raman spectroscopy

(2021) Feifei Pian et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Partial least squares regression residual extreme learning machine (PLSRR-ELM) calibration algorithm applied in fast determination of gasoline octane number with near-infrared spectroscopy

(2021) Haipeng Wang et al.   FUEL

Hyperspectral detection of salted sea cucumber adulteration using different spectral preprocessing techniques and SVM method

(2021) Xu Zhang et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Simultaneous detection of glucose, triglycerides, and total cholesterol in whole blood by Fourier-Transform Raman spectroscopy

(2021) Qiaoyun Wang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Controllable Asymmetry Attack on Two-Way Fiber Time Synchronization System

(2021) Chenlin Zhang et al.   IEEE Photonics Journal

A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends

(2021) Jun Tang et al.   IEEE-CAA Journal of Automatica Sinica

Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application

(2020) Zaher Mundher Yaseen et al.   COMPLEXITY

A Novel Design and Analysis of High-Sensitivity Biosensor Based on Nano-Cavity for Detection of Blood Component, Diabetes, Cancer and Glucose Concentration

(2020) Mojtaba Hosseinzadeh Sani et al.   IEEE SENSORS JOURNAL

Improving artificial Bee colony algorithm using a new neighborhood selection mechanism

(2020) Hui Wang et al.   INFORMATION SCIENCES

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

(2020) Liang-Rui Ren et al.   BMC BIOINFORMATICS

Rapid discrimination of intact beef, venison and lamb meat using Raman spectroscopy

(2020) Chima Robert et al.   FOOD CHEMISTRY

Brand classification of detergent powder using near-infrared spectroscopy and extreme learning machines

(2020) Chao Tan et al.   MICROCHEMICAL JOURNAL

Raman spectroscopy for the qualitative and quantitative analysis of solid dosage forms of Sitagliptin

(2020) Muhammad Abu Bakkar et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Convolution neural network joint with mixture of extreme learning machines for feature extraction and classification of accident images

(2019) Ali Pashaei et al.   Journal of Real-Time Image Processing

The Progress of Glucose Monitoring—A Review of Invasive to Minimally and Non-Invasive Techniques, Devices and Sensors

(2019) Wilbert Villena Gonzales et al.   SENSORS

Ensemble of extreme learning machines for multivariate calibration of near-infrared spectroscopy

(2019) Hui Chen et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Discrimination of nasopharyngeal carcinoma serum using laser-induced breakdown spectroscopy combined with an extreme learning machine and random forest method

(2018) Chu YanWu et al.   JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY

Epidemiology of cardiovascular disease in China: current features and implications

(2018) Dong Zhao et al.   Nature Reviews Cardiology

Novel Approach to Non-Invasive Blood Glucose Monitoring Based on Transmittance and Refraction of Visible Laser Light

(2017) Haider Ali et al.   IEEE Access

Enhanced artificial bee colony algorithm through differential evolution

(2016) Wei-feng Gao et al.   APPLIED SOFT COMPUTING

Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy

(2015) Jyoti Yadav et al.   Biomedical Signal Processing and Control

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation