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Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma...
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George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
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Ramon Wagner Torres Pena, Pedro Andrés Chira Oliva and Fernando Araújo Abrunhosa
The present study evaluated the application of Ground Penetrating Radar and Electromagnetic Induction geophysical tools combined with sedimentology for the description of the subsurface of sites destined for the installation of ponds for an extensive fre...
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Jinyu Fang, Yuan Ni and Jian Zhang
UGC short videos play a crucial role in sharing information and disseminating content in the era of new information technology. Accurately assessing the value of UGC short videos is highly significant for the sustainable development of self-media platfor...
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Maaz Khan, Mrestyal Khan, Umar Nawaz Kayani, Khurrum Shahzad Mughal and Roohi Mumtaz
This study investigates the returns spillovers across the equity markets of Asian emerging economies (China, India, Indonesia, Malaysia, Pakistan, Philippines, South Korea, Taiwan, and Thailand). To achieve this objective, we used two different spillover...
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Katharine B. Miller and Courtney M. Weiss
Migration phenology influences many important ecological processes. For juvenile Pacific salmon, the timing of the seaward migration from fresh to marine waters is linked to early marine survival and adult returns. Seaward migration phenology is determin...
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Milica Latinovic
Pág. 55 - 64
Research Question: This study aims to empirically test the effects of the digital and sustainability announcements of twin transformation companies on their shareholder value creation. Motivation: This paper builds on the vast research regarding the Effi...
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Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
Traders and investors are interested in accurately predicting cryptocurrency prices to increase returns and minimize risk. However, due to their uncertainty, volatility, and dynamism, forecasting crypto prices is a challenging time series analysis task. ...
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Fahd Alduais, Nashat Ali Almasria, Abeer Samara and Ali Masadeh
The purpose of this study was to examine the relationship between the conciseness and complexity of financial disclosures and market reactions, using the annual reports of Chinese-listed B-share companies over the period 2006?2018. We employed a set of s...
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Marcial Messmer and Francesco Audrino
We investigate whether Lasso-type linear methods are able to improve the predictive accuracy of OLS in selecting relevant firm characteristics for forecasting the future cross-section of stock returns. Through extensive Monte Carlo simulations, we show t...
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