Research Group Mathematical models in science and technology

Keyphrases

1. Lima 100%
2. Peru 74%
3. PM10 51%
4. Electricity Consumption 43%
5. Hybrid Method 41%
6. COVID-19 40%
7. Air Quality 39%
8. Time Series Model 38%
9. Metropolitan Areas 37%
10. Air Pollution 36%
11. Pakistan 36%
12. Multilayer Perceptron 35%
13. Ozone Concentration 34%
14. Machine Learning Models 32%
15. University Students 31%
16. PM10 Concentration 31%
17. Brazil 30%
18. Electricity Market 27%
19. Energy Prices 26%
20. Auction Price 26%
21. Energy Efficiency 26%
22. Peruvian Universities 26%
23. Spatio-temporal Visualization 26%
24. Industrial Sector 26%
25. Electricity Consumption Forecasting 26%
26. Technique Application 26%
27. Hybrid Mixtures 26%
28. Monitoring Station 25%
29. Artificial Neural Network 24%
30. Root Mean Square Error 23%
31. Mean Error 22%
32. Peruvian 21%
33. Latin America (LATAM) 21%
34. Santa 20%
35. Combined Method 20%
36. Industrial Electricity Consumption 20%
37. Electricity Demand 20%
38. Ultra-processed Foods 18%
39. Ensemble Approach 18%
40. Particulate Matter 18%
41. Ensemble Model 18%
42. Markov Chain Monte Carlo Methods 17%
43. Decomposition Method 16%
44. Environmental Impact 16%
45. Monthly Electricity Consumption 16%
46. Time Series Forecasting 16%
47. Winter Season 16%
48. Machine Learning Algorithms 15%
49. Nonparametric Regression 15%
50. Campos 15%
51. MARTE 15%
52. Meteorological Variables 14%
53. Foodborne Disease 13%
54. Machine Learning Approach 13%
55. Statistical Modeling Technique 13%
56. Extreme Pollution 13%
57. Random Error 13%
58. Influence Measure 13%
59. Maturity Model 13%
60. Non-communicable Diseases 13%
61. Data Analyze Approach 13%
62. Student Academic Performance 13%
63. Forecasting Applications 13%
64. Monthly Forecast 13%
65. Academic Self-efficacy 13%
66. Marketing Strategy 13%
67. Disposition to Critical Thinking 13%
68. Particulate Matter 2.5 (PM2.5) 13%
69. Brand Adoption 13%
70. Predictive Analysis 13%
71. Biomonitoring 13%
72. Trace Elements 13%
73. Tillandsia Capillaris 13%
74. Positive Attitude 13%
75. Concentration Data 13%
76. Visualization Approaches 13%
77. Spiritual Support 13%
78. Natural Language Processing Algorithm 13%
79. Support Factor 13%
80. Time Series Forecasting Model 13%
81. Turbidity 13%
82. Caesalpinia Spinosa 13%
83. Tara 13%
84. Spatio-temporal Prediction 13%
85. Artificial Neural Network Model 13%
86. Minas Gerais State 13%
87. Coagulation-flocculation 13%
88. Bentonite 13%
89. Brazilian States 13%
90. Statistical Neural Network 13%
91. Nested Cross-validation 13%
92. Nephelometric Turbidity Unit 13%
93. Air Quality Monitoring 13%
94. Long Short-term Memory Network 13%
95. Pollution Prediction 13%
96. Stock Price Prediction 13%
97. Diagnostic Ratios 13%
98. Pakistan Stock Exchange 13%
99. Novel Filtering 13%
100. Solid Waste Management 13%