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EAI Endorsed Transactions on Scalable Information Systems
Dikeluarkan Scopus 2024
ISSN 2032-9407 · European Alliance for Innovation (EAI) · 309 artikel di indeks
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Artikel Jurnal Teks lengkap
Spatio-temporal weight Tai Chi motion feature extraction based on deep network cross-layer feature fusion
Tai Chi is a valuable exercise for human health. The research on Tai Chi is helpful to improve people's exercise level. There is a problem with low efficiency in traditional Tai Chi motion feature extraction. Therefore, we propose a spatio-temporal weight Tai Chi motion feature extraction based on…
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Artikel Jurnal Teks lengkap
A novel A* method fusing bio-inspired algorithm for mobile robot path planning
The path planning of mobile robot is to find an optimal collision-free path in time distance or space from the starting point to the target point in a given environment. With the popularization and application of mobile robots, if the efficiency of mobile robots path is not high, the working…
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Artikel Jurnal
Quality evaluation system of engineering cost education curriculum based on data clustering
Aiming at the problems of poor evaluation effect and long system response time in the existing project cost course quality evaluation system, a project cost education course quality evaluation system based on data clustering is designed. The data acquisition module of infrastructure layer is used…
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Artikel Jurnal
An efficient access control scheme for smart campus
With the great concern of our country and the continuous development of the epidemic, the development of smart campus is getting faster and faster, the safety of teachers and students becomes more and more important. To ensure the safety of users, the first step is to control at the doors. Usually…
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A Novel Eye-Tracking Device Designed with a Head Gesture Control Module
In this paper a novel eye-tracking device designed which uses tiny CCD cameras to capture the eye image from the screen with the help of a video capture card. In the head gesture control mode, a light source projector is turned on and the CCD camera detects the position of the light source. The…
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Artikel Jurnal Teks lengkap
Multi-feature data fusion based on common space model and recurrent convolutional neural networks for EEG tristimania recognition used in upper limb rehabilitation exercises
Traditional tristimania recognition methods cannot accurately recognize the mood of patients, which cannot provide effective adjuvant therapy for rehabilitation. Therefore, this paper proposes a new multi-feature data fusion method for Electroencephalography (EEG) tristimania recognition. It…
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Secure Data Fusion Analysis on Certificateless Short Signature Scheme Based on Integrated Neural Networks and Elliptic Curve Cryptography
In the traditional public key cryptosystem based on certificates, the issuance and management of usercertificates are realized through the authoritative certificate center, but amount of time is spent in thetransmission and verification of user public key certificates. After a malicious user…
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Channel space weighted fusion-oriented feature pyramid network for motor imagery EEG signal recognition
In order to solve the problems of weak generalization ability and low classification accuracy in motor imagery EEG signal classification, this paper proposes a channel space weighted fusion-oriented feature pyramid network for motor imagery EEG signal recognition. First, the short-time Fourier…
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Artikel Jurnal Teks lengkap
Feature Extraction using CNN for Peripheral Blood Cells Recognition
INTRODUCTION: The diagnosis of hematological diseases is based on the morphological differentiation of the peripheral blood cell types.OBJECTIVES: In this work, a hybrid model based on CNN features extraction and machine learning classifiers were proposed to improve peripheral blood cell image…
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Artikel Jurnal Teks lengkap
Adaptive and ADRC information fusion method for high speed train braking system
Aiming at the problem of poor adaptability and lag of traditional braking control methods of high-speed train, a high-speed train braking information fusion method based on adaptive linear auto disturbance rejection is proposed to arrange the transition process for accurate braking and stable…
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Artikel Jurnal Teks lengkap
Smart Mirror Based Home Automation Using Voice Command and Mobile Application
The smart mirror helps humans to use their time effectively. It serves as the simple mirror and allows the user to see important updates and control electrical appliances simultaneously. Smart mirror is developed to let the user do multi-tasks while he was leaving from home. This system consists of…
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Artikel Jurnal
Comparison of Classification Model for the Detection of Cyber-attack using Ensemble Learning Models
Incorporating digital technologies into security systems is a positive development. It's time for the digital system to be appropriately protected from potential threats and attacks. An intrusion detection system can identify both external and internal anomalies in the network. There are a variety…
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Artikel Jurnal
Web application for data collection in marketing strategies: an approach from the perspective of Digital Humanities
INTRODUCTION: Web applications and information systems are predominantly constituted as platforms for acquiring data and services over the Internet. Such applications integrate a technological context filled with intelligent devices interactive amongst themselves, connected to the network…
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Artikel Jurnal
RETRACTED: An automatic scoring method for Chinese-English spoken translation based on attention LSTM [EAI Endorsed Scal Inf Syst (2022), Online First]
We, the Publisher, have retracted the following article: Xiaobin Guo (2022). An automatic scoring method for Chinese-English spoken translation based on attention LSTM. EAI Endorsed Scal Inf Syst. http://dx.doi.org/10.4108/eai.13-1-2022.172818 The authors submitted the article to the Special Issue…
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Artikel Jurnal
RETRACTED: Non-local clustering via sparse prior for sports image denoising [EAI Endorsed Scal Inf Syst (2022), Online First]
We, the Publisher, have retracted the following article: Ying Zhang (2022). Non-local clustering via sparse prior for sports image denoising. EAI Endorsed Scal Inf Syst. http://dx.doi.org/10.4108/eai.13-1-2022.172817 The authors submitted the article to the Special Issue on “Real-time image…
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Artikel Jurnal
RETRACTED: CenterNet-SPP based on multi-feature fusion for basketball posture recognition [EAI Endorsed Scal Inf Syst (2022), Online First]
We, the Publisher, have retracted the following article: Zhouxiang Jin (2022). CenterNet-SPP based on multi-feature fusion for basketball posture recognition. EAI Endorsed Scal Inf Syst. http://dx.doi.org/10.4108/eai.5-1-2022.172780 The authors submitted the article to the Special Issue on…
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Artikel Jurnal
RETRACTED: Multi-attention mechanism based on gate recurrent unit for English text classification [EAI Endorsed Scal Inf Syst (2022), Online First]
We, the Publisher, have retracted the following article: Haiying Liu (2022). Multi-attention mechanism based on gate recurrent unit for English text classification. EAI Endorsed Scal Inf Syst. http://dx.doi.org/10.4108/eai.27-1-2022.173166 The authors submitted the article to the Special Issue on…
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Artikel Jurnal
Non-local clustering via sparse prior for sports image denoising
This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173794. Image denoising is very important in image preprocessing. In order to introduce the priori information of external clean image into the denoising process, a non-local…
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Artikel Jurnal
An automatic scoring method for Chinese-English spoken translation based on attention LSTM
This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173786. In this paper, we propose an automatic scoring method for Chinese-English spoken translation based on attention LSTM. We select semantic keywords, sentence drift and spoken…
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Artikel Jurnal
Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning
COVID-19 has posed an extraordinary challenge to the entire world. As the number of COVID-19 cases continues to climb around the world, medical experts are facing an unprecedented challenge in correctly diagnosing and predicting the disease. The present research attempts to develop a new and…