[HTML][HTML] Machine learning Ethereum cryptocurrency prediction and knowledge-based investment strategies
A Viéitez, M Santos, R Naranjo - Knowledge-Based Systems, 2024 - Elsevier
This work proposes a novel methodology to help in decision making in the cryptocurrency
market. Two investment strategies have been designed for Ethereum (ETH), based on …
market. Two investment strategies have been designed for Ethereum (ETH), based on …
The Implementation of Control Charts as a Verification Tool in a Time Series Model for COVID-19 Vaccine Participants in Pontianak
N Imro'ah, AY Pratama - ComTech: Computer, Mathematics …, 2023 - journal.binus.ac.id
Vaccines are the primary weapon used to stop the outbreak, especially amid the COVID-19
pandemic. Thus, supplying vaccines to control the COVID-19 pandemic is essential …
pandemic. Thus, supplying vaccines to control the COVID-19 pandemic is essential …
Predictive Root Based Bootstrap Prediction Intervals in Neural Network Models for Time Series Forecasting
S Barman, V Ramasubramanian, KN Singh… - Journal of the Indian …, 2024 - Springer
Time series (TS) modelling is an important area in the domain of statistics, as it enables us to
comprehend the dynamics underlying a particular phenomenon. In the spectrum of non …
comprehend the dynamics underlying a particular phenomenon. In the spectrum of non …
Control Chart for Correcting the ARIMA Time Series Model of GDP Growth Cases
N Imro'ah, DS Utami, T Umairah… - JTAM (Jurnal Teori dan …, 2024 - journal.ummat.ac.id
The essential prerequisite for attending the G20 conference is a country's GDP because G20
members can significantly boost the economy and preserve the nation's financial stability …
members can significantly boost the economy and preserve the nation's financial stability …
Advances in Demand Forecasting: A Systematic Review of Methods, The Role of AI, and Data Strategies in Manufacturing
B Bender, S Bretschneider, J Fattah-Weil - 2024 - aisel.aisnet.org
This systematic literature review highlights the gap in demand forecasting in the
manufacturing sector, which is challenged by complex supply chains and rapid market …
manufacturing sector, which is challenged by complex supply chains and rapid market …
EVALUATION OF AUTOMOBILE DEMAND FORECAST IN TURKEY USING ARTIFICIAL NEURAL NETWORKS
DHMALI ALOBAIDI - 2022 - acikerisim.karabuk.edu.tr
The automotive sector is a sector that contributes greatly to the economies of countries and it
is the main buyer of sectors such as iron, steel, tires, and petrochemicals as well. The sales …
is the main buyer of sectors such as iron, steel, tires, and petrochemicals as well. The sales …