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Ilia Zaznov, Julian Martin Kunkel, Atta Badii and Alfonso Dufour
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading. The key problems addressed are effectively modelling complex limi...
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Christos Bormpotsis, Mohamed Sedky and Asma Patel
In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbations...
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Mehboob ur Rashid, Waqas Ahmed, Ihtisham Islam, Petros Petrounias, Panagiota P. Giannakopoulou and Nikolaos Koukouzas
Especially in recent years, the study of landslide phenomena is considered as very important because of the effects of climate change. The aim of this paper is to examine the stability of the slope located in Miacher Nagar village along the Hunza River (...
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Phuong Lan Le, Anh Tuan Do and Anh Ngoc Pham
This study focused on testing the existence of an apartment price bubble in Hanoi (Vietnam) and on determining the factors that affected it in the period between 2010 and 2021. Using the fundamental factor approach, the authors applied VAR regression usi...
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Chukwuemeka Chinonso Emenekwe and Nnaemeka Vincent Emodi
The global energy system is highly vulnerable to climate variability and change. This results in a vast range of impacts on the energy demand sector and production and supply channels. This article aims to estimate the impacts of variables such as heatin...
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Joshua Eklund and Jong-Min Kim
In this research, we investigate the relationship between a movie?s gross and its budget, year of release, season of release, genre, and rating. The movie data used in this research are severely skewed to the right, resulting in the problems of nonlinear...
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Marcin Watorek, Jaroslaw Kwapien and Stanislaw Drozdz
Unlike price fluctuations, the temporal structure of cryptocurrency trading has seldom been a subject of systematic study. In order to fill this gap, we analyse detrended correlations of the price returns, the average number of trades in time unit, and t...
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Try Ramadhan, Beta Paramita and Ravi Shankar Srinivasan
The strategic issue faced by the Ministry of Public Works and Housing, Republic of Indonesia (PUPR) is the large housing backlog, especially in the urban areas. Low-income communities earning less than 2 USD/day are found as the most vulnerable to lack o...
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Ning Hao, Peixuan Sun, Wei He, Luze Yang, Yu Qiu, Yingzi Chen and Wenjin Zhao
Water scarcity has become a major impediment to economic development, and a scientifically sound water allocation plan is essential to alleviate water scarcity. An opportunity constraint approach is introduced to optimise the uncertainty of the minimum r...
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Wahdania Suardi,Titin Purwaningsih,Ihyani Malik,Ahmad Taufik
The purpose of this article is to see the extent to which the Dottoro?ta home care is carried out as part of the smart city development program in Makassar City. The method used is a descriptive-qualitative approach which carries a literature study and u...
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