Forecasting of BTC volatility: comparative study between parametric and nonparametric models
Bitcoin has rapidly gained much attention by media, investors and scholars, since it is widely
used for investment purposes as an alternative to regular currencies. The price of bitcoin is …
used for investment purposes as an alternative to regular currencies. The price of bitcoin is …
Forecasting of weekly patient visits to emergency department: real case study
Emergency department (ED) is the most crowded entity in hospitals, because it is the access
point of almost all patients looking for care without beforehand appointment. Accordingly …
point of almost all patients looking for care without beforehand appointment. Accordingly …
Performance prediction of pharmaceutical suppliers: comparative study between DEA-ANFIS-PSO and DEA-ANFIS-GA
The selection of a pharmaceutical supplier is a critical task within a hospital. Dealing with the
wrong supplier may plague the overall healthcare supply chain, especially patient's life …
wrong supplier may plague the overall healthcare supply chain, especially patient's life …
Artificial neural networks optimization and convolution neural networks to classifying images in remote sensing: A review
One of important functions of remote sensing data is producing the land-use/land-cover
maps. Image classification is one of important applications for remote sensing imaginary …
maps. Image classification is one of important applications for remote sensing imaginary …
Text classification using fuzzy TF-IDF and machine learning models
The representation of the information has an important impact on the text classification task.
Several weighting methods were proposed in the literature, and the term frequency-inverse …
Several weighting methods were proposed in the literature, and the term frequency-inverse …
Forecasting of bitcoin daily returns with eemd-elman based model
The present study investigates the application of EEMD-ELMAN model to forecast the daily
returns of the Bitcoin. More than seven years data were collected online from 18th July 2010 …
returns of the Bitcoin. More than seven years data were collected online from 18th July 2010 …
Feedforward and recurrent neural networks for time series forecasting: comparative study
This study aims at examining and comparing the ability of ANNs variances, including MLP,
RBFNN, ELMAN and JORDAN in forecasting monthly data of four different time series …
RBFNN, ELMAN and JORDAN in forecasting monthly data of four different time series …
Performance evaluation of public healthcare supply chain management: a critical literature review
Performance evaluation tools have been vastly used in many areas of healthcare, and
supply chains in specific. However, the adoption of performance appraisal in the public …
supply chains in specific. However, the adoption of performance appraisal in the public …
EVALUATING SUPPLY CHAIN MANAGEMENT PERFORMANCE IN PUBLIC HEALTH CARE: AN MCDA APPROACH
Rising demand for more efficient and higher-quality public services has challenged public
managers to meet these expectations. Performance evaluation has emerged as a crucial …
managers to meet these expectations. Performance evaluation has emerged as a crucial …
A 4-level reference for self-adaptive processes based on SCOR and integrating Q-Learning
H Mezouar, A El Afia - Proceedings of the 4th International Conference …, 2019 - dl.acm.org
The supply chain operations reference (SCOR) is a model to improve, and communicate
supply chain flows within an organization and with its suppliers and customers. In this paper …
supply chain flows within an organization and with its suppliers and customers. In this paper …