Results 261 to 270 of about 703,477 (288)

Voice Conversion by Dual-Domain Bidirectional Long Short-Term Memory Networks with Temporal Attention

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019
Voice conversion(VC) is a method for seeking to convert one speaker's voice into another person's voice while maintaining the content unchanged. One of the key steps is to construct a mapping of features from the source speaker to the target speaker. Given the strong ability to model contextual information, bidirectional long short-term memory network (
Xiaokong Miao, Meng Sun 0001, Xiongwei Zhang   +2 more
openaire   +1 more source

Analyzing The Dual Long Memory In Stock Market Returns

Ege Academic Review, 2011
Bu çalışmanın amacı, zayıf formda etkin piyasa hipotezi bağlamında birleşik ARFIMA-FIGARCH modeli ve yapısal kırılma testi kullanarak beş farklı borsa endeks getiri serisi için ikili uzun hafıza özelliklerini incelemektir. Modeller S&P500, FTSE100, DAX, CAC40 ve ISE100 borsa endekslerinin günlük kapanış fiyatları kullanılarak test edilmiştir ...
URAL, Mert, KÜÇÜKÖZMEN, C. Coşkun
openaire   +4 more sources

Modelling Return and Volatility of Oil Price using Dual Long Memory Models [PDF]

, 2014
This paper investigates the dynamic properties of both return and volatility of the oil price. The analysis is carried out using a set of double long memory specifications incorporating several features such as long range dependence, asymmetry in ...
Heni BOUBAKER, Nadia SGHAIER
openaire  

Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets

Emerging Markets Review, 2009
Abstract This paper investigates the presence of long memory in the eight Central and Eastern European (CEE) countries' stock market, using the ARFIMA, GPH, FIGARCH and HYGARCH models. The data set consists of daily returns, and long memory tests are carried out both for the returns and volatilities of these series.
KASMAN, SAADET, TORUN, ERDOST, Kasman, ADNAN   +2 more
openaire   +2 more sources

Modelling power spot prices in deregulated European energy markets: a dual long memory approach

Global Business and Economics Review, 2012
In the last decade, with deregulation and introduction of competition in power markets, prices forecasting have become a real challenge for all market participants. However, forecasting is a rather complex task since electricity prices involve many features comparably with financial ones. Electricity markets have a highly volatile nature.
Najeh Chaâbane, Foued Saâdaoui, Saloua Benammou   +2 more
openaire   +1 more source

Combined with the dual-attention and the long short-term memory intrusion detection research

International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 2022
Shuo Lin, Shengnan Xing
openaire   +1 more source

Cyclical components and dual long memory in the foreign exchange rate dynamics: the Tunisian case [PDF]

, 2014
The purpose of this paper is to question the traditional conventional view on the exchange rate targeting that real shocks ...
Rania Jammazi, Chaker Aloui
openaire  

Long-Time Storage of a Qubit Encoded in Decoherence-Free Subspace Using a Dual-Type Quantum Memory

Physical Review Letters
A quantum memory is an essential element for quantum computation, quantum networks, and quantum metrology. Previously, a single-qubit quantum memory with a coherence time of about an hour has been realized in a dual-species setup where a coolant ion provides sympathetic cooling for a memory ion of a different species.
Y.-L. Xu, L. Zhang, C. Zhang, Y.-K. Wu, Y.-Y. Chen, C.-X. Huang, Z.-B. Cui, R. Yao, W.-Q. Lian, J.-Y. Ma, W.-X. Guo, B.-X. Qi, P.-Y. Hou, Y.-F. Pu, Z.-C. Zhou, L. He, L.-M. Duan   +16 more
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Displacement prediction model for high arch dams using long short-term memory based encoder-decoder with dual-stage attention considering measured dam temperature

Engineering Structures, 2023
Ben Huang, Fei Kang
exaly  

Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents

Large language models (LLMs) have demonstrated strong potential in long-horizon decision-making tasks, such as embodied manipulation and web interaction. However, agents frequently struggle with endless trial-and-error loops or deviate from the main objective in complex environments.
Wen, Bin, Zhang, Ruoxuan, Chen, Yang, Xie, Hongxia, Guo, Lan-Zhe   +4 more
openaire   +1 more source