Results 31 to 40 of about 3,556 (261)

Performance evaluation of deep neural networks for forecasting time‐series with multiple structural breaks and high volatility

CAAI Transactions on Intelligence Technology, 2021
The problem of automatic and accurate forecasting of time‐series data has always been an interesting challenge for the machine learning and forecasting community.
Rohit Kaushik, Shikhar Jain, Siddhant Jain, Tirtharaj Dash   +3 more
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

Real‐time vehicle detection using segmentation‐based detection network and trajectory prediction

IET Computer Vision
The 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, Payman Moallem, Mohammadreza Shams   +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

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, Milind Yadav, Sandeep Saini   +2 more
doaj   +1 more source

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris, Priya B. Shetty, Olga A. Taylor, Elizabeth G. Atkinson, Melissa A. Richard, M. Monica Gramatges, Mark Zobeck, Sandi Pruitt, Amy Hughes, M. Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Han Chen, Bing Yu, Philip J. Lupo, Karen R. Rabin, Michael E. Scheurer, Austin L. Brown, The REDIAL Consortium   +24 more
wiley   +1 more source

The Role of Chemotherapy in Pediatric Myoepithelial Carcinoma: A Systematic Review of the Literature

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Myoepithelial carcinoma (MEC) in pediatric patients is a rare and aggressive malignancy characterized by heterogeneous morphology and variable molecular features. The optimal role of chemotherapy remains unclear. We conducted a systematic review according to PRISMA 2020 guidelines to evaluate chemotherapy in pediatric and young‐adult patients ...
Marco Salvi, Maria Carmen Affinita, Giulia Fichera, Luisa Santoro, Angela Scagnellato, Calogero Virgone, Elena Poli, Gianni Bisogno   +7 more
wiley   +1 more source

A recurrent neural network‐based rotor displacement estimation method for eight‐pole active magnetic bearing

IET Electric Power Applications
Active 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, Zicheng Liu, Haijiao Wang, Dong Jiang, Yu Chen   +4 more
doaj   +1 more source

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, Sheng-Kuan Wang, Yi-Nan Lin, Cheng-Ying Yang, Victor R.L. Shen, Tony Tong-Ying Juang, Ting-Yi Liao   +6 more
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, Xiaodong Wang 0002, Jiping Guan, Lifeng Zhang, Fuhan Zhang, Tao Chang   +5 more
openaire   +2 more sources