Electroencephalogram based brain-computer interface: Applications, challenges, and opportunities [0.03%]
基于脑电图的脑机接口：应用、挑战和机遇
Hitesh Yadav,Surita Maini
Hitesh Yadav
Brain-Computer Interfaces (BCI) is an exciting and emerging research area for researchers and scientists. It is a suitable combination of software and hardware to operate any device mentally. This review emphasizes the significant stages in...
Maryam Jalali,Morteza Zahedi,Abdolali Basiri
Maryam Jalali
Text mining methods usually use statistical information to solve text and language-independent procedures. Text mining methods such as polarity detection based on stochastic patterns and rules need many samples to train. On the other hand, ...
MediNet: transfer learning approach with MediNet medical visual database [0.03%]
基于MediNet医学图像数据库的迁移学习方法研究
Hatice Catal Reis,Veysel Turk,Kourosh Khoshelham et al.
Hatice Catal Reis et al.
The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the clinical decision-m...
The classification of wheat yellow rust disease based on a combination of textural and deep features [0.03%]
基于纹理和深度特征组合的小麦条锈病分类方法
Tolga Hayıt,Hasan Erbay,Fatih Varçın et al.
Tolga Hayıt et al.
Yellow rust is a devastating disease that causes significant losses in wheat production worldwide and significantly affects wheat quality. It can be controlled by cultivating resistant cultivars, applying fungicides, and appropriate agricul...
Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data [0.03%]
基于科学计量数据的新冠肺炎疫情人工智能驱动科学研究分析
Amit K Shukla,Taniya Seth,Pranab K Muhuri
Amit K Shukla
With the spread of the deadly coronavirus disease throughout the geographies of the globe, expertise from every field has been sought to fight the impact of the virus. The use of Artificial Intelligence (AI), especially, has been the center...
Enhanced cluster detection and noise reduction for geospatial time series data of COVID-19 [0.03%]
增强的簇检测和噪声减少地理时空序列数据以用于新冠肺炎疫情分析
Sabitri Gaire,Abeer Alsadoon,P W C Prasad et al.
Sabitri Gaire et al.
Spatial-temporal analysis of the COVID-19 cases is critical to find its transmitting behaviour and to detect the possible emerging clusters. Poisson's prospective space-time analysis has been successfully implemented for cluster detection o...
HQDCNet: Hybrid Quantum Dilated Convolution Neural Network for detecting covid-19 in the context of Big Data Analytics [0.03%]
基于大数据分析的HQDCNet：混合量子膨胀卷积神经网络在检测COVID-19中的应用
Nagamani Tenali,Gatram Rama Mohan Babu
Nagamani Tenali
Medical care services are changing to address problems with the development of big data frameworks as a result of the widespread use of big data analytics. Covid illness has recently been one of the leading causes of death in people. Since ...
Ranjan Kumar,Sajal Maheshwari,Anushka Sharma et al.
Ranjan Kumar et al.
Across the world, the seasonal disease influenza is a respiratory illness that impacts all age groups in many ways. Its symptoms are fever, chills, aches, pains, headaches, fatigue, cough, and weakness. Seasonal influenza can cause mild to ...
Automatic generation of short-answer questions in reading comprehension using NLP and KNN [0.03%]
基于NLP和KNN的阅读理解短文本题目自动生成方法研究
Lala Septem Riza,Yahya Firdaus,Rosa Ariani Sukamto et al.
Lala Septem Riza et al.
In general, making evaluations requires a lot of time, especially in thinking about the questions and answers. Therefore, research on automatic question generation is carried out in the hope that it can be used as a tool to generate questio...
Kawthar Yasmine Zergat,Sid Ahmed Selouani,Abderrahmane Amrouche et al.
Kawthar Yasmine Zergat et al.
Dialects have received bigger interest in recent years as they are increasingly used on the web and social media. Because Algerian Arabic dialects suffer from a lack of appropriate speech corpora for speech recognition, a rich dialect corpu...