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Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models

Financial time series prediction, whether for classification or regression, has been a heated research topic over the last decade. While traditional machine learning algorithms have experienced mediocre results, deep learning has largely contributed to the elevation of the prediction performance. Currently, the most up-to-date review of advanced machine learning techniques for financial time series prediction is still lacking, making it challenging for finance domain experts and relevant prac...

A quantile-time-frequency connectedness investigation through the dirty and clean cryptocurrencies spillover

We analyze how the return connectedness between cryptocurrencies and environmental market indexes evolves in the last decade. The current study is the first to examine whether clean and dirty cryptocurrencies are linked to the U.S. environmental stock market indexes across time-frequency-quantile space. Using a time-frequency quantile connectedness approach, the main results are as follows: (i) the dynamic total connectedness indices are found to be heterogenous over the time-frequency space....

Open-Source HW/SW Co-Simulation Using QEMU and GHDL for VHDL-Based SoC Design

Hardware/software co-simulation is a technique that can help design and validate digital circuits controlled by embedded processors. Co-simulation has largely been applied to system-level models, and tools for SystemC or SystemVerilog are readily available, but they are either not compatible or very cumbersome to use with VHDL, the most commonly used language for FPGA design. This paper presents a direct, simple-to-use solution to co-simulate a VHDL design together with the firmware (FW) that...

Biodiversity associated with Mediterranean fucalean forests and mechanisms regulating it: an assessment of the current knowledge

Forests formed by fucalean brown algae of the Cystoseira s. l. complex (genera Cystoseira, Ericaria and Gongolaria) are a typical feature of shallow Mediterranean seascapes. These seaweeds play a key role in shaping biodiversity on shallow rocky bottoms; due to their highly branched morphology, they increase tridimensionality and structural complexity of benthic assemblages, providing a high diversity of habitats for many sessile and mobile organisms. Studies concerning the biodiversity of Cy...

Coralline red algae of Antarctica and Subantarctic regions: state of knowledge of a threatened, yet poorly known, group of ecosystem engineers

Due to limitations imposed by the extreme environmental conditions, Antarctica and Subantarctic regions remain among the least phycologically known. Corallines of these regions are poorly known, despite a long history of studies dating back to the early twentieth century. Current knowledge of their diversity is based mostly on traditional morphoanatomical investigations. For Antarctica proper, reliable records are available for 12 species; most of these are based on collections from intertida...

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Prodotti recenti

Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models

A quantile-time-frequency connectedness investigation through the dirty and clean cryptocurrencies spillover

Open-Source HW/SW Co-Simulation Using QEMU and GHDL for VHDL-Based SoC Design

Biodiversity associated with Mediterranean fucalean forests and mechanisms regulating it: an assessment of the current knowledge

Coralline red algae of Antarctica and Subantarctic regions: state of knowledge of a threatened, yet poorly known, group of ecosystem engineers

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