An interpretable method for automated classification of spoken transcripts and written text [0.03%]
一种自动分类口语记录和书面文本的可解释方法
Mattias Wahde,Marco L Della Vedova,Marco Virgolin et al.
Mattias Wahde et al.
We investigate the differences between spoken language (in the form of radio show transcripts) and written language (Wikipedia articles) in the context of text classification. We present a novel, interpretable method for text classification...
Intelligent contributions of the artificial orca algorithm for continuous problems and real-time emergency medical services [0.03%]
人工虎鲸算法在连续问题和实时急救医疗中的智能应用研究
Lydia Sonia Bendimerad,Habiba Drias
Lydia Sonia Bendimerad
The Artificial Orca Algorithm (AOA) is an existing swarm intelligence algorithm, empowered in this paper by two well-known mutation operators and opposition-based learning, yielding the novel methods Deep Self-Learning Artificial Orca Algor...
Jayasree Ravi,Sushil Kulkarni
Jayasree Ravi
World wide web is abundant with various types of information such blogs, social media posts, news articles. With this type of magnitude of online content, there is a need to deeply understand the insights of it in order to make use of the i...
The application of blockchain algorithms to the management of education certificates [0.03%]
区块链算法在教育证书管理中的应用
Raúl Jaime Maestre,Javier Bermejo Higuera,Nadia Gámez Gómez et al.
Raúl Jaime Maestre et al.
Blockchain is a new application technology in many sectors and the same is true in the world of education. Therefore, there is an increasingly emerging need to research blockchain technology, as it is still taking its first steps in differe...
EEG signals classification using a new radial basis function neural network and jellyfish meta-heuristic algorithm [0.03%]
基于新型径向基函数神经网络和水母元启发式算法的EEG信号分类
Homayoun Rastegar,Davar Giveki,Morteza Choubin
Homayoun Rastegar
The purpose of this paper is to investigate a new method for EEG signals classification. A powerful method for detecting these signals can greatly contribute to areas such as making robotic arms for disabled people, mind reading and lie det...
Epistemic neural network based evaluation of online teaching status during epidemic period [0.03%]
基于知识神经网络的疫情期间在线教学状态评估
Ni Yao
Ni Yao
During the epidemic, online teaching became the mainstream. Online teaching evaluation aims to systematically test teachers' teaching process according to certain teaching objectives and standards, and evaluate its value, advantages and dis...
Shahin Hakemi,Mahboobeh Houshmand,Esmaeil KheirKhah et al.
Shahin Hakemi et al.
Quantum-inspired metaheuristics emerged by combining the quantum mechanics principles with the metaheuristic algorithms concepts. These algorithms extend the diversity of the population, which is a primary key to proper global search and is...
COVID-19 pneumonia level detection using deep learning algorithm and transfer learning [0.03%]
基于深度学习算法和迁移学习的新型冠状病毒肺炎分级检测模型
Abbas M Ali,Kayhan Ghafoor,Aos Mulahuwaish et al.
Abbas M Ali et al.
The first COVID-19 confirmed case was reported in Wuhan, China, and spread across the globe with an unprecedented impact on humanity. Since this pandemic requires pervasive diagnosis, developing smart, fast, and efficient detection techniqu...
COVID-19 severity detection using machine learning techniques from CT-images [0.03%]
基于CT图像的机器学习技术在新冠肺炎严重程度检测中的应用研究
A L Aswathy,Hareendran S Anand,S S Vinod Chandra
A L Aswathy
COVID-19 has spread worldwide and the World Health Organization was forced to list it as a Public Health Emergency of International Concern. The disease has severely impacted most of the people because it affects the lung and causes severe ...
Priyanka,Amit Kumar Singh
Priyanka
Recently, medical image encryption has attracted many researchers because of security issues in the communication process. The recent COVID-19 has highlighted the fact that medical images are consistently created and disseminated online, le...