Results 51 to 60 of about 2,008,811 (296)
Development and Evaluation of a Novel Investment Decision System in Cryptocurrency Market
Applied Artificial Intelligence, 2021 More and more people are entering the cryptocurrency market after Bitcoin (BTC) soared to nearly USD 20,000 in 2017. To promote the development of information technology and cryptocurrency marketing, various computerized systems integrating information ...
Dai-Lun Chiang +6 more
doaj +1 more source
A lecture transcription system combining neural network acoustic and language models [PDF]
, 2013 This paper presents a new system for automatic transcription of lectures. The system combines a number of novel features, including deep neural network acoustic models using multi-level adaptive networks to incorporate out-of-domain information, and ...
Hori, C +6 more
core
FEBS Letters, EarlyView.Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise +5 more
wiley +1 more source
Electronics Letters, 2023 The vector parabolic equation (VPE) method has been widely applied to the modelling of radio wave propagation in tunnel environments. However, dense spatial discretizations are generally required for VPE simulations to achieve acceptable accuracy.
Hao Qin, Siyi Huang, Xingqi Zhang
doaj +1 more source
STPF-Net: Short-Term Precipitation Forecast Based on a Recurrent Neural Network
Remote Sensing, 2023 Accurate and timely precipitation forecasts are critical in modern society, influencing both economic activity and daily life. While deep learning methods leveraging remotely sensed radar data have become prevalent for precipitation nowcasting, longer-term forecasting remains challenging.
Jingnan Wang +5 more
openaire +2 more sources
Turing universality of neural nets (revisited)
, 1997 We show how to use recursive function theory to prove Turing universality of finite analog recurrent neural nets, with a piecewise linear sigmoid function as activation function. We emphasize the modular construction of nets within nets, a relevant issue
Neto, Pedro J. +3 more
core +1 more source
Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein
FEBS Letters, EarlyView.Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux +7 more
wiley +1 more source
Few‐label aerial target intention recognition based on self‐supervised contrastive learning
IET Radar, Sonar & NavigationIdentifying the intentions of aerial targets is crucial for air situation understanding and decision making. Deep learning, with its powerful feature learning and representation capability, has become a key means to achieve higher performance in aerial ...
Zihao Song +5 more
doaj +1 more source
Deep learning for day-ahead electricity price forecasting
IET Smart Grid, 2020 Deregulation exposes the inherent volatility of the electricity price. Accurate electricity price forecasting (EPF) could help the market participants to hedge against the price movements and maximise their profits.
Chi Zhang +4 more
doaj +1 more source
Programming Patterns in Dataflow Matrix Machines and Generalized Recurrent Neural Nets
CoRR, 2016 13 pages (v2 - update references)
Michael A. Bukatin +2 more
openaire +2 more sources