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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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Enrique González-Núñez, Luis A. Trejo and Michael Kampouridis
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model and ...
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Gaurang Sonkavde, Deepak Sudhakar Dharrao, Anupkumar M. Bongale, Sarika T. Deokate, Deepak Doreswamy and Subraya Krishna Bhat
The financial sector has greatly impacted the monetary well-being of consumers, traders, and financial institutions. In the current era, artificial intelligence is redefining the limits of the financial markets based on state-of-the-art machine learning ...
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Yongzhi Liu, Fan Jiang, Zihan Zhao, Tana and Xianqing Lv
Marine ranching is a stock enhancement project that has been an important part of aquaculture in China. Due to the lack of scientific management, disasters have occurred, resulting in millions of economic losses. Based on the observation system of marine...
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Michal Pieczka and Boguslaw Wowrzeczka
Along with the socio-economic changes in Poland after 1989 and the beginning of the industrial restructuring process, many industrial architecture objects lost their original purpose. At present, sustainable processes of reusing the building stock left o...
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Chiara Bertolin
With a wide spectrum of data, case studies, monitoring, and experimental and numerical simulation techniques, the multidisciplinary approach of material, environmental, and computer science applied to the conservation of cultural heritage offers several ...
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Ka-Kit Tung and Xianyao Chen
The Intergovernmental Panel on Climate Change (IPCC) noted a recent 15-year period (1998–2012) when the rate of surface global warming was a factor of 4 smaller than the mean of the state-of-art climate model projections and than that observed in t...
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Thomas Schinko,Gabriel Bachner,Stefan Schleicher,Karl W. Steininger
Pág. 137 - 161
Limiting global warming to prevent dangerous climate change requires drastically reducing global greenhouse gases emissions and a transformation towards a low-carbon society. Existing energy- and climate-economic modeling approaches that are informing po...
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Robert Hodgkinson,Ken White,Art Stock
The spruce weevil (Pissodes strobi) is a major pest in the Northern Interior Forest Region, affecting the growth and development of interior spruce. Repeated weevil attacks to the leading shoots of young interior spruce trees can result in suppressed hei...
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