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Behrooz Azabdaftari,Mohammad Amin Mozaheb
Pág. 47 - 59
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Ive Botunac, Jurica Bosna and Maja Matetic
Investment decision-makers increasingly rely on modern digital technologies to enhance their strategies in today?s rapidly changing and complex market environment. This paper examines the impact of incorporating Long Short-term Memory (LSTM) models into ...
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Afnan Alotaibi and Murad A. Rassam
Concerns about cybersecurity and attack methods have risen in the information age. Many techniques are used to detect or deter attacks, such as intrusion detection systems (IDSs), that help achieve security goals, such as detecting malicious attacks befo...
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Valeria Mercuri, Martina Saletta and Claudio Ferretti
As the prevalence and sophistication of cyber threats continue to increase, the development of robust vulnerability detection techniques becomes paramount in ensuring the security of computer systems. Neural models have demonstrated significant potential...
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Godwin Kaisara and Kelvin Joseph Bwalya
Mobile learning is a global trend, which has become more widespread in the post-COVID-19 pandemic era. However, with the adoption of mobile learning comes new assessment approaches to evaluate the understanding of the acquired information and knowledge. ...
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Noemí Merayo, Jesús Vegas, César Llamas and Patricia Fernández
The system presented in this study was aimed at business, organisation, government, and consumer areas, whereas a real-time application is needed for the classification of social network messages written in Spanish through sentiment semantics metadata. O...
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Everistus Zeluwa Orji, Ali Haydar, Ibrahim Ersan and Othmar Othmar Mwambe
This paper comprehensively assesses the application of active learning strategies to enhance natural language processing-based optical character recognition (OCR) models for image-to-LaTeX conversion. It addresses the existing limitations of OCR models a...
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Junfang Fan, Denghui Dou and Yi Ji
In this study, two different impact-angle-constrained guidance and control strategies using deep reinforcement learning (DRL) are proposed. The proposed strategies are based on the dual-loop and integrated guidance and control types. To address comprehen...
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Nathalia Celis, Alejandro Casallas, Ellie Anne Lopez-Barrera, Martina Felician, Massimo De Marchi and Salvatore E. Pappalardo
Recent times have witnessed wildfires causing harm to both ecological communities and urban?rural regions, underscoring the necessity to comprehend wildfire triggers and assess measures for mitigation. This research hones in on Cartagena del Chairá, divi...
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Zameka Primrose Yengwayo, Bulelwa Makena
Pág. 344 - 349
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Zameka Primrose Yengwayo, Bulelwa Makena
Pág. 344 - 349
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Pieter Cawood and Terence Van Zyl
The techniques of hybridisation and ensemble learning are popular model fusion techniques for improving the predictive power of forecasting methods. With limited research that instigates combining these two promising approaches, this paper focuses on the...
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Dillo Justin Ramoshaba, Mathibedi Frank Kgarose
Pág. 343 - 347
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Julien Chevallier, Dominique Guégan and Stéphane Goutte
This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Rando...
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Gema Melissa Caicedo Molina, Johana Margarita Catagua Vasquez, Cruz Esneda Sanchez Reyes, Cedeño Barreto María Elisa
Pág. 1 - 9
Evaluation strategies are not properly implemented at different levels of education. The objective of this research was to determine the strategies used by teachers in the Fiscal Educational Unit Ena Ali Guillém Vélez, to evaluate the tasks sent home. Sa...
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Yujie Fang, Juan Chen and Zhengxuan Xue
This paper takes 50 ETF options in the options market with high transaction complexity as the research goal. The Random Forest (RF) model, the Long Short-Term Memory network (LSTM) model, and the Support Vector Regression (SVR) model are used to predict ...
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Ching Chang,Chih-Kai Chang
Pág. 3 - 19
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Sattam Almatarneh and Pablo Gamallo
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Aisha Muhammad Abdullahi, Kiemute Oyibo, Rita Orji and Abdullahi Abubakar Kawu
The fact that individuals may react differently toward persuasive strategies gave birth to a shift in persuasive technology (PT) design from the one-size-fits-all traditional approach to the individualized approach which conforms to individuals? preferen...
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Sattam Almatarneh and Pablo Gamallo
In this paper, we examine the performance of several classifiers in the process of searching for very negative opinions. More precisely, we do an empirical study that analyzes the influence of three types of linguistic features (n-grams, word embeddings,...
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