Claudio A Ardagna,Nicola Bena,Cedric Hebert et al.
Claudio A Ardagna et al.
Big data management is a key enabling factor for enterprises that want to compete in the global market. Data coming from enterprise production processes, if properly analyzed, can provide a boost in the enterprise management and optimizatio...
Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning [0.03%]
基于定向和非定向功能连接分析及深度学习的脑电负荷分类方法研究
Anmol Gupta,Ronnie Daniel,Akash Rao et al.
Anmol Gupta et al.
With the phenomenal rise in internet-of-things devices, the use of electroencephalogram (EEG) based brain-computer interfaces (BCIs) can empower individuals to control equipment with thoughts. These allow BCI to be used and pave the way for...
An Intelligent Channel Estimation Algorithm Based on Extended Model for 5G-V2X [0.03%]
一种基于扩展模型的5G-V2X智能信道估计算法
Jie Huang,Cheng Xu,Zhaohua Ji et al.
Jie Huang et al.
Car networking systems based on 5G-V2X (vehicle-to-everything) have high requirements for reliability and low-latency communication to further improve communication performance. In the V2X scenario, this article establishes an extended mode...
Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data [0.03%]
基于神经网络的大数据改进型一元时间序列预测模型
Suyel Namasudra,S Dhamodharavadhani,R Rathipriya et al.
Suyel Namasudra et al.
Big data is a combination of large structured, semistructured, and unstructured data collected from various sources that must be processed before using them in many analytical applications. Anomalies or inconsistencies in big data refer to ...
Design of Fatigue Driving Behavior Detection Based on Circle Hough Transform [0.03%]
基于圆形霍夫变换的疲劳驾驶行为检测设计
An Chi Huang,Chun Yuan,Sheng Hui Meng et al.
An Chi Huang et al.
Chronic fatigue symptoms of jobs are risk factors that may cause errors and lead to occupational accidents. For instance, occupational injuries and traffic accidents stem from overlooking long-term fatigue. According to statistics for fatig...
Chen Tao
Chen Tao
Anomaly detection is crucial in a variety of domains, such as fraud detection, disease diagnosis, and equipment defect detection. With the development of deep learning, anomaly detection with Bayesian neural networks (BNNs) becomes a novel ...
Nam Anh Dao,Viet Bach Dao
Nam Anh Dao
Decision making in stock market is a movement in which investors gather information and carry out complex analysis to select options, based on market variations and investor's preferences. This involves the facts of risk of return, apprecia...
HUTNet: An Efficient Convolutional Neural Network for Handwritten Uchen Tibetan Character Recognition [0.03%]
HUTNet:一种有效手写藏文乌金体识别卷积神经网络
Guowei Zhang,Weilan Wang,Ce Zhang et al.
Guowei Zhang et al.
Recognition of handwritten Uchen Tibetan characters input has been considered an efficient way of acquiring mass data in the digital era. However, it still faces considerable challenges due to seriously touching letters and various morpholo...
Prediction and Big Data Impact Analysis of Telecom Churn by Backpropagation Neural Network Algorithm from the Perspective of Business Model [0.03%]
基于业务模式视角的反向传播神经网络算法对电信用户流失的大数据影响分析与预测
Jiabing Xu,Jiarui Liu,Tianen Yao et al.
Jiabing Xu et al.
This study aims to transform the existing telecom operators from traditional Internet operators to digital-driven services, and improve the overall competitiveness of telecom enterprises. Data mining is applied to telecom user classificatio...
Gwanggil Jeon,Valerio Bellandi,Abdellah Chehri et al.
Gwanggil Jeon et al.
Editorial
Big data. 2022 Dec;10(6):479-480. DOI:10.1089/big.2022.0217 2022