Computational Statistical Methodologies and Modeling for Artificial Intelligence -

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Résumé :

1: A review of computational statistical and Artificial Intelligence methodologies. 2: An improved random forest for classification and regression using dynamic weighted schem. 3: Study of Computational Statistical methodologies for modelling the evolution of COVID-19 in India during the second wave. 4: Distracted Driver Detection using Image Segmentation and Transfer Learning.5: Review Analysis of Ride-Sharing Application Using Machine Learning Approaches - Bangladesh Perspective. 6: Nowcasting of selected imports and exports of Bangladesh: Comparison among traditional time series model and machine learning models.7: An Intelligent Interview bot for candidate assessment by using facial expression recognition and speech recognition System. 8: Analysis of Oversampling and Ensemble Learning Methods for Credit Card Fraud Detection. 9: Combining News with Time Series for Stock Trend Prediction. 10: Influencing project success outcomes by utilising advanced statistical techniques and AI during the Project Initiating Process.11: Computational Statistical Methods For Uncertainty Assessment In Geoscience. 12: A comparison of geocomputational models for validating geospatial distribution of water quality index. 13: Mathematical Modeling for Socio-Economic Development: A Case from Palestine.14: A computational study based on Tensor decomposition models applied to screen of autistic children: High order SVD, orthogonal iteration and discriminant analysis algorithms.15: Stress Level Detection using Smartphone Sensors.16: Antecedents and inhibitors for use of primary healthcare: A case study of Mohalla clinics in Delhi