| 1 |
Incipient fault diagnosis for centrifugal chillers using kernel entropycomponent analysis and voting based extreme learning machine
Xia Y, Ding Q, Jiang A, Jing N, Zhoug W, Wang J
Korean Journal of Chemical Engineering, 39(3), 504, 2022 |
| 2 |
New frontiers of quantum computing in chemical engineering
Ajagekar A, You F
Korean Journal of Chemical Engineering, 39(4), 811, 2022 |
| 3 |
The investigation of the effect of particle size on wear performance of AA7075/Al2O3 composites using statistical analysis and different machine learning methods
Aydin F
Advanced Powder Technology, 32(2), 445, 2021 |
| 4 |
Development overview of Raman-activated cell sorting devoted to bacterial detection at single-cell level
Yan SS, Qiu JX, Guo L, Li DZ, Xu DP, Liu Q
Applied Microbiology and Biotechnology, 105(4), 1315, 2021 |
| 5 |
Modeling and optimizing callus growth and development in Cannabis sativa using random forest and support vector machine in combination with a genetic algorithm
Hesami M, Jones AMP
Applied Microbiology and Biotechnology, 105(12), 5201, 2021 |
| 6 |
MODAL ANALYSIS-BASED CLASSIFICATION OF LIQUID JETS IN CROSSFLOW
Mokhtarpour K, Jadidi M, Dolatabadi A
Atomization and Sprays, 31(7), 1, 2021 |
| 7 |
Spatial learning and memory impaired after infection of non-neurotropic influenza virus in BALB/c male mice
Gu LM, Zhou YL, Wang GF, Deng HX, Song XL, He XT, Wang TT, Chen XX, Dai JP, Li R
Biochemical and Biophysical Research Communications, 540, 29, 2021 |
| 8 |
A generalized machine-learning aided method for targeted identification of industrial enzymes from metagenome: A xylanase temperature dependence case study
Shahraki MF, Farhadyar K, Kavousi K, Azarabad MH, Boroomand A, Ariaeenejad S, Salekdeh GH
Biotechnology and Bioengineering, 118(2), 759, 2021 |
| 9 |
Fast identification of off-target liabilities in early antibiotic discovery with Fourier-transform infrared spectroscopy
da Cunha BR, Aleixo SM, Fonseca LP, Calado CRC
Biotechnology and Bioengineering, 118(11), 4465, 2021 |
| 10 |
A high-throughput and machine learning resistance monitoring system to determine the point of resistance for Escherichia coli with tetracycline: Combining UV-visible spectrophotometry with principal component analysis
Chapman J, Orrell-Trigg R, Kwoon KY, Truong VK, Cozzolino D
Biotechnology and Bioengineering, 118(4), 1511, 2021 |
