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An AI Model for Oil Volatility Forecasting

An AI Model for Oil Volatility Forecasting

Abstract By introducing a genetic algorithm learning with a classifier system, we construct an AI model for oil volatility forecasting on the basis of Internal Information and External Information. The

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Latin American Oil Export Destination Choice: A Machine Learning Approach

Latin American Oil Export Destination Choice: A Machine Learning Approach

Abstract We implement machine learning techniques to predict the destination for Latin American crude oil exports. Utilizing a unique dataset of micro-level crude oil shipment data, derived from the Automatic

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Applications of AI in Oil Well Surveillance

Applications of AI in Oil Well Surveillance

Abstract the oil industry is one in constant need of development and technological advancement. Declining oil field productivity as well as volatile oil prices, particularly after the last market crash,

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Full Entropy Hash for Face Template Protection

Full Entropy Hash for Face Template Protection

Abstract In this paper, we present a hashing function for the application of face template protection, which improves the correctness of existing algorithms while maintaining the security simultaneously. The novel

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Gamification Approach in Education to Increase Learning Engagement

Gamification Approach in Education to Increase Learning Engagement

Abstract: The steps of the gamification approach in education to improve learning engagement are discussed in this paper. There are a few steps on the gamification approach that have been

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A Smart Mobile Learning Conceptual Framework for Professional Development of UAE In-Service Teachers

A Smart Mobile Learning Conceptual Framework for Professional Development of UAE In-Service Teachers

Abstract Increasingly, mobile learning has been considered as a part of professional development due to its unique attributes: ubiquitous, flexible, highly personalized, and easily accessible. It represents a paradigm shift

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IT Risk and Resilience—Cybersecurity Response to COVID-19

IT Risk and Resilience—Cybersecurity Response to COVID-19

Abstract The rapid and worldwide spread of the coronavirus and its illness is known as COVID-19 has made a huge impact on almost everything that has taken us all by

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Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

Abstract Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic.

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Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model

Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model

Abstract Discussion features in online communities can be effectively used to diagnose depression and allow other users or experts to provide self-help resources to those in need. Automatic emotion identification

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