47 results
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2. Meteorological factors cannot be ignored in machine learning-based methods for predicting dengue, a systematic review
3. How does air pollution affect floating population in metropolitan city: embedding-based approach
4. Study of bearing currents in induction machine: diagnostic possibilities, fault detection, and prediction
5. Improved two-stage task allocation of distributed UAV swarms based on an improved auction mechanism
6. Embedded symmetric positive semi-definite machine-learned elements for reduced-order modeling in finite-element simulations with application to threaded fasteners
7. Tourism profile measure for data-driven tourism segmentation
8. Electricity theft detection in IoT-based smart grids using a parameter-tuned bidirectional LSTM with pre-trained feature learning mechanism
9. Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis
10. Fedmpo : federated optimization based on multidimensional especially 3-dimensional proximal operator
11. Learning nonlinear constitutive models in finite strain electromechanics with Gaussian process predictors
12. Power quality recognition in noisy environment employing deep feature extraction from cross stockwell spectrum time–frequency images
13. Debris flow susceptibility mapping in alpine canyon region: a case study of Nujiang Prefecture
14. An adaptive nonlinear whale optimization multi-layer perceptron cyber intrusion detection framework
15. A bibliometric analysis of the literature on crop yield prediction: insights from previous findings and prospects for future research
16. Real-time implementation of an IoT-based intelligent source allocation system using machine learning technique in a commercial building
17. Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
18. Data creation techniques and data-oriented models for dynamic security assessment of power system
19. Machine learning-assisted image label-free smartphone platform for rapid segmentation and robust multi-urinalysis
20. Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies—part II
21. Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies–part I
22. Identifying potential debris flow hazards after the 2022 Mw 6.8 Luding earthquake in southwestern China
23. Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast
24. Generative models and Bayesian inversion using Laplace approximation
25. Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application
26. Certification of avionic software based on machine learning: the case for formal monotony analysis
27. A general framework of high-performance machine learning algorithms: application in structural mechanics
28. Optimisation of electrochemical sensors based on molecularly imprinted polymers: from OFAT to machine learning
29. Optimal induction machine parameter estimation method with artificial neural networks
30. Enhancing power utilization analysis: detecting aberrant patterns of electricity consumption
31. Application of image analysis and machine learning for the assessment of grape (Vitis L.) berry behavior under different storage conditions
32. Identification of apple varieties using hybrid transfer learning and multi-level feature extraction
33. Development of photoelectrochemical water splitting photoanode: bibliometric analysis and artificial intelligence advancement
34. Debugging convergence problems in probabilistic programs via program representation learning with SixthSense
35. A novel triple periodic minimal surface-like plate lattice and its data-driven optimization method for superior mechanical properties
36. Artificial neural networks in the modeling of the catalytic activity of a biosensor composed of conjugated polymers and urease
37. Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms
38. Explainable Ensemble Trees
39. A deep potential molecular dynamics study on the ionic structure and transport properties of NaCl-CaCl2 molten salt
40. A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms
41. Unveiling dissociation mechanisms and binding patterns in the UHRF1-DPPA3 complex via multi-replica molecular dynamics simulations
42. Identification macrophage signatures in prostate cancer by single-cell sequencing and machine learning
43. Optimised stacked machine learning algorithms for genomics and genetics disorder detection in the healthcare industry
44. A data-guided approach for the evaluation of zeolites for hydrogen storage with the aid of molecular simulations
45. First principles molecular dynamics simulation and thermal decomposition kinetics study of CL-20
46. Machine learning-based exploration of molecular design descriptors for area-selective atomic layer deposition (AS-ALD) precursors
47. Determination of surface roughness of rocks based on 2D profiles using machine learning methods
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