Results 31 to 40 of about 37,616 (181)
Stock values predictions using deep learning based hybrid models
CAAI Transactions on Intelligence Technology, 2022 Predicting the correct values of stock prices in fast fluctuating high‐frequency financial data is always a challenging task. A deep learning‐based model for live predictions of stock values is aimed to be developed here.
Konark Yadav +2 more
doaj +1 more source
, 2017 Matching pedestrians across disjoint camera views, known as person re-identification (re-id), is a challenging problem that is of importance to visual recognition and surveillance.
Gao, Junbin +3 more
core +1 more source
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
, 2022 Accepted to ICLR 2023, 9 pages, 2 figures plus ...
Cohen-Karlik, Edo +4 more
openaire +2 more sources
Real‐time vehicle detection using segmentation‐based detection network and trajectory prediction
IET Computer VisionThe position of vehicles is determined using an algorithm that includes two stages of detection and prediction. The more the number of frames in which the detection network is used, the more accurate the detector is, and the more the prediction network ...
Nafiseh Zarei +2 more
doaj +1 more source
Self-Organizing Recurrent Interval Type-2 Petri Fuzzy Design for Time-Varying Delay Systems
IEEE Access, 2019 This paper presents a design of a self-organizing recurrent interval type-2 Petri fuzzy controller (SORIT2PFC) for controlling the time-varying delay systems.
Tien-Loc Le
doaj +1 more source
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
, 2017 9 pages.
Martin, Eric, Cundy, Chris
openaire +2 more sources
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
Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians
, 2016 Convolutional neural nets (CNNs) have demonstrated remarkable performance in recent history. Such approaches tend to work in a unidirectional bottom-up feed-forward fashion.
Hu, Peiyun, Ramanan, Deva
core +1 more source
IET Electric Power ApplicationsActive magnetic bearing (AMB) is a key technology in high‐speed rotating machines for rotor suspension, where the displacement sensors play a crucial role in detecting and controlling the rotor position. However, the traditional displacement sensors have
Longyuan Fan +4 more
doaj +1 more source
Research on radar clutter recognition method based on LSTM
The Journal of Engineering, 2019 Considering the increasingly complex electromagnetic environment of radar detection, it still contains a lot of clutter after target detection, which is a challenging problem for subsequent target tracking.
Li Song, Wang Shengli, Xie Dingbao
doaj +1 more source