A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach [0.03%]
一种针对COVID-19的基于变异且经过转让学习和多属性决策方法优化的决策支持系统
Amirreza Salehi Amiri,Ardavan Babaei,Vladimir Simic et al.
Amirreza Salehi Amiri et al.
The global impact of the COVID-19 pandemic, characterized by its extensive societal, economic, and environmental challenges, escalated with the emergence of variants of concern (VOCs) in 2020. Governments, grappling with the unpredictable e...
Filipe Lemos,Filipe F Correia,Ademar Aguiar et al.
Filipe Lemos et al.
Background: Approaches to documenting the software patterns of a system can support intentionally and manually documenting them or automatically extracting them from the source code. Some of the approaches that we review ...
A model integrating attention mechanism and generative adversarial network for image style transfer [0.03%]
一种基于注意力机制和生成对抗网络的图像风格迁移模型
Miaomiao Fu,Yixing Liu,Rongrong Ma et al.
Miaomiao Fu et al.
Image style transfer is an important way to combine different styles and contents to generate new images, which plays an important role in computer vision tasks such as image reconstruction and image texture synthesis. In style transfer tas...
Harnessing AI and analytics to enhance cybersecurity and privacy for collective intelligence systems [0.03%]
利用人工智能和数据分析增强集体智能系统的网络安全和隐私防护能力
Muhammad Rehan Naeem,Rashid Amin,Muhammad Farhan et al.
Muhammad Rehan Naeem et al.
Collective intelligence systems like Chat Generative Pre-Trained Transformer (ChatGPT) have emerged. They have brought both promise and peril to cybersecurity and privacy protection. This study introduces novel approaches to harness the pow...
Distilroberta2gnn: a new hybrid deep learning approach for aspect-based sentiment analysis [0.03%]
基于方面的 Sentiment 分析的新型混合深度学习方法 Distilroberta2gnn
Aseel Alhadlaq,Alaa Altheneyan
Aseel Alhadlaq
In the field of natural language processing (NLP), aspect-based sentiment analysis (ABSA) is crucial for extracting insights from complex human sentiments towards specific text aspects. Despite significant progress, the field still faces ch...
Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data [0.03%]
基于ResNet50-LSTM的多源数据深度融合水稻预测模型
Aqsa Aslam,Saima Farhan
Aqsa Aslam
Rice production is pivotal for ensuring global food security. In Pakistan, rice is not only the dominant Kharif crop but also a significant export commodity that significantly impacts the state's economy. However, Pakistan faces challenges ...
Design and optimization of dynamic reliability-driven order allocation and inventory management decision model [0.03%]
基于动态可靠性的订单分配与库存管理决策模型设计与优化
Qiansha Zhang,Dandan Lu,Qiuhua Xiang et al.
Qiansha Zhang et al.
Efficient order allocation and inventory management are essential for the success of supply chain operations in today's dynamic and competitive business environment. This research introduces an innovative decision-making model incorporating...
Effective sentence-level relation extraction model using entity-centric dependency tree [0.03%]
一种基于实体中心依存树的句法模型的有效关系抽取方法
Seongsik Park,Harksoo Kim
Seongsik Park
The syntactic information of a dependency tree is an essential feature in relation extraction studies. Traditional dependency-based relation extraction methods can be categorized into hard pruning methods, which aim to remove unnecessary in...
Davide Chicco,Angeliki-Ilektra Karaiskou,Maarten De Vos
Davide Chicco
The electrocardiogram (ECG) is a powerful tool to measure the electrical activity of the heart, and the analysis of its data can be useful to assess the patient's health. In particular, the computational analysis of electrocardiogram data, ...
An empirical evaluation of link quality utilization in ETX routing for VANETs [0.03%]
一种用于VANET的ETX路由选路质量利用性的实证评估方法研究
Raad Al-Qassas,Malik Qasaimeh
Raad Al-Qassas
Routing in vehicular ad hoc networks (VANETs) enables vehicles to communicate for safety and non-safety applications. However, there are limitations in wireless communication that can degrade VANET performance, so it is crucial to optimize ...