Improving Sentiment Classification Performance through Coaching Architectures [0.03%]
基于指导架构提升情感分类性能
Alberto Fernández-Isabel,Javier Cabezas,Daniela Moctezuma et al.
Alberto Fernández-Isabel et al.
Intelligent systems have been developed for years to solve specific tasks automatically. An important issue emerges when the information used by these systems exhibits a dynamic nature and evolves. This fact adds a level of complexity that ...
A Bio-Inspired Multi-Population-Based Adaptive Backtracking Search Algorithm [0.03%]
一种生物启发的多群体自适应回溯搜索算法
Sukanta Nama,Apu Kumar Saha
Sukanta Nama
Backtracking search algorithm (BSA) is a nature-based optimization technique extensively used to solve various real-world global optimization problems for the past few years. The present work aims to introduce an improved BSA (ImBSA) based ...
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images [0.03%]
基于胸部X光片的深度学习在可靠分类冠状病毒、中东呼吸综合症和非典方面的应用
Anas M Tahir,Yazan Qiblawey,Amith Khandakar et al.
Anas M Tahir et al.
Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 and 2011, and the cu...
A Fuzzy Collaborative Intelligence Approach to Group Decision-Making: a Case Study of Post-COVID-19 Restaurant Transformation [0.03%]
基于模糊协作智能的群体决策方法及案例研究——以新冠肺炎疫情后餐厅转型为例
Toly Chen,Min-Chi Chiu
Toly Chen
In a fuzzy group decision-making task, when decision makers lack consensus, existing methods either ignore this fact or force a decision maker to modify his/her judgment. However, these actions may be unreasonable. In this study, a fuzzy co...
Erik Cambria,Amir Hussain
Erik Cambria
An Integrated Deep Learning and Belief Rule Base Intelligent System to Predict Survival of COVID-19 Patient under Uncertainty [0.03%]
一种集成深度学习和信念规则基础的智能系统 用于在不确定性下预测COVID-19患者的生存率
Tawsin Uddin Ahmed,Mohammad Newaj Jamil,Mohammad Shahadat Hossain et al.
Tawsin Uddin Ahmed et al.
The novel Coronavirus-induced disease COVID-19 is the biggest threat to human health at the present time, and due to the transmission ability of this virus via its conveyor, it is spreading rapidly in almost every corner of the globe. The u...
Hadeer A Helaly,Mahmoud Badawy,Amira Y Haikal
Hadeer A Helaly
Alzheimer's disease (AD) is a chronic, irreversible brain disorder, no effective cure for it till now. However, available medicines can delay its progress. Therefore, the early detection of AD plays a crucial role in preventing and controll...
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction [0.03%]
基于深度学习的动脉血压预测方法比较研究
Annunziata Paviglianiti,Vincenzo Randazzo,Stefano Villata et al.
Annunziata Paviglianiti et al.
Continuous vital signal monitoring is becoming more relevant in preventing diseases that afflict a large part of the world's population; for this reason, healthcare equipment should be easy to wear and simple to use. Non-intrusive and non-i...
Affective Concept-Based Encoding of Patient Narratives via Sentic Computing and Neural Networks [0.03%]
基于情感概念的患者叙述编码：情绪计算与神经网络的应用
Hanane Grissette,El Habib Nfaoui
Hanane Grissette
The automatic generation of features without human intervention is the most critical task for biomedical sentiment analysis. Regarding the high dynamicity of shared patient narrative data, the lack of formal medical language sentiment dicti...
Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network [0.03%]
基于条件对抗神经网络生成合成数据的COVID-19分类量子机器学习架构
Javaria Amin,Muhammad Sharif,Nadia Gul et al.
Javaria Amin et al.
Background: COVID-19 is a novel virus that affects the upper respiratory tract, as well as the lungs. The scale of the global COVID-19 pandemic, its spreading rate, and deaths are increasing regularly. Computed tomography...