Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleJanuary 2023
Credit-Risk Prediction Model Using Hybrid Deep—Machine-Learning Based Algorithms
Credit-risk prediction is one of the challenging tasks in the banking industry. In this study, a hybrid convolutional neural network—support vector machine/random forest/decision tree (CNN—SVM/RF/DT) model has been proposed for efficient credit-risk ...
- research-articleJanuary 2022
Bearing Fault Diagnosis Based on Frequency Subbands Feature Extraction and Multibranch One-Dimension Convolutional Neural Network
The rolling bearing is one of the important parts of rotating machinery, while the degree of dependence on the machine is becoming heavier nowadays. Therefore, it is always necessary to monitor its operating status and diagnose faults. To better analyze ...
- research-articleJanuary 2022
Corresponding Intelligent Calculation of the Whole Process of Building Civil Engineering Structure Based on Deep Learning
This study proposes the first fully deep learning-based structural response intelligent computing framework for civil engineering. For the first time, from the data side to the model side, the structural information of the structure itself and any loading ...
- research-articleJanuary 2022
Optimization of Innovation and Entrepreneurship Education and Training System in Colleges and Universities Based on OpenStack Cloud Computing
With economic globalization and rapid development of science and technology, many colleges and universities pay more and more attention to the cultivation of students’ innovative thinking and creativity, and innovation and entrepreneurship education has ...
- research-articleJanuary 2021
Design and Implementation of Human-Computer Interaction System in Parallel Digital Library System Based on Neural Network
Information and communication technologies are well thought-out as probable assets for the development of socioeconomics in developing countries. Studies have shown that enhanced infrastructure of telecommunication has facilitated means for underserved ...
-
- research-articleJanuary 2021
ER-Store: A Hybrid Storage Mechanism with Erasure Coding and Replication in Distributed Database Systems
In distributed database systems, as cluster scales grow, efficiency and availability become critical considerations. In a cluster, a common approach to high availability is using replication, but this is inefficient due to its low storage utilization. ...
- research-articleJanuary 2021
Optimizing Kenmi Manipulation Courses of High School Sports Based on CDIO Model under the Background of Cloud Computing
Cloud computing is an increase, use, and delivery model of Internet-based services. It usually involves the provision of dynamic transactions and often virtualized resources through the Internet and provides the most reliable and secure data storage ...
- research-articleJanuary 2021
Study on Resource Sharing Strategy of e-Commerce Innovation and Entrepreneurship Education Based on Cloud Computing
As a popular education major at present, e-commerce and innovation and entrepreneurship education are combined with research that has important strategic significance for talents. In the process of the coordinated development of the two, the sharing of ...
- research-articleJanuary 2021
Cross-Individual Gesture Recognition Based on Long Short-Term Memory Networks
- Antonio J. Peña,
- Huasong Min,
- Ziming Chen,
- Bin Fang,
- Ziwei Xia,
- Yixu Song,
- Zongtao Wang,
- Quan Zhou,
- Fuchun Sun,
- Chunfang Liu
Gestures recognition based on surface electromyography (sEMG) has been widely used for human-computer interaction. However, there are few research studies on overcoming the influence of physiological factors among different individuals. In this paper, a ...
- research-articleJanuary 2021
A Survey of Industrial Internet of Things Platforms for Establishing Centralized Data-Acquisition Middleware: Categorization, Experiment, and Challenges
The development of industrial Internet of Things (IIoT), big data, and artificial intelligence technologies is leading to a major change in the production system. The change is being propagated into the wave of transforming the existing system with a ...
- research-articleJanuary 2021
Extensible Embedded Processor for Convolutional Neural Networks
Convolutional neural networks (CNNs) require significant computing power during inference. Smart phones, for example, may not run a facial recognition system or search algorithm smoothly due to the lack of resources and supporting hardware. Methods for ...
- research-articleJanuary 2021
Enlightenment of Physical Education Teaching Experiment Based on Cloud Computing to the Current Physical Education Reform
Our country has a large land area, and the development of physical education is not balanced. In daily teaching activities, teachers and students use computers and networks to teach, which generates massive amounts of data. Schools are limited by funds ...
- research-articleJanuary 2021
An Efficient Technique for Virtual Machine Clustering and Communications Using Task-Based Scheduling in Cloud Computing
Cloud computing models use virtual machine (VM) clusters for protecting resources from failure with backup capability. Cloud user tasks are scheduled by selecting suitable resources for executing the task in the VM cluster. Existing VM clustering ...
- research-articleJanuary 2021
A Novel Trade Transaction Agreement Algorithm Using Blockchain Consensus Mechanism
Blockchain, the underlying technology of Bitcoin, has been deeply studied in various fields after its development in recent years. As a typical decentralized distributed data storage system, consensus reached among all participants in a blockchain system ...
- research-articleJanuary 2021
Hybrid Approach for Resource Allocation in Cloud Infrastructure Using Random Forest and Genetic Algorithm
- Marco Aldinucci,
- Madhusudhan H S,
- Satish Kumar T,
- S.M.F D Syed Mustapha,
- Punit Gupta,
- Rajan Prasad Tripathi
In cloud computing, the virtualization technique is a significant technology to optimize the power consumption of the cloud data center. In this generation, most of the services are moving to the cloud resulting in increased load on data centers. As a ...
- research-articleJanuary 2021
Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network
Under the background of rapid economic development and the continuous expansion of city size, people’s travel is deeply troubled by the problem of urban traffic congestion. Subway is an effective way to relieve traffic pressure and plays an important role ...
- research-articleJanuary 2021
Load Forecasting Method Based on Improved Deep Learning in Cloud Computing Environment
For the problems of low accuracy and low efficiency of most load forecasting methods, a load forecasting method based on improved deep learning in cloud computing environment is proposed. Firstly, the preprocessed data set is divided into several data ...
- research-articleJanuary 2021
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification
Over the past few decades, text classification problems have been widely utilized in many real time applications. Leveraging the text classification methods by means of developing new applications in the field of text mining and Natural Language ...
- research-articleJanuary 2021
Blockchain Consensus Mechanism Based on Improved Distributed Consistency and Hash Entropy
To improve the performance for distributed blockchain system, a novel and effective consensus algorithm is designed in this paper. It firstly constructs a more random additive constant through the generation matrix of the error correction code and uses ...
- review-articleJanuary 2020
Research on Multifeature Data Routing Strategy in Deduplication
Deduplication is a popular data reduction technology in storage systems which has significant advantages, such as finding and eliminating duplicate data, reducing data storage capacity required, increasing resource utilization, and saving storage costs. ...