Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges [0.03%]
广义直觉模糊环境中的三支决策：综述与挑战
Juanjuan Ding,Chao Zhang,Deyu Li et al.
Juanjuan Ding et al.
Enhancing decision-making under risks is crucial in various fields, and three-way decision (3WD) methods have been extensively utilized and proven to be effective in numerous scenarios. However, traditional methods may not be sufficient whe...
Open-source intelligence: a comprehensive review of the current state, applications and future perspectives in cyber security [0.03%]
开源情报：网络安全中的现状、应用及未来展望综合回顾
Ashok Yadav,Atul Kumar,Vrijendra Singh
Ashok Yadav
The volume of data generated by today's digitally connected world is enormous, and a significant portion of it is publicly available. These data sources are web archives, public databases, and social networks such as Facebook, Twitter, Link...
Bernd Carsten Stahl,Josephina Antoniou,Nitika Bhalla et al.
Bernd Carsten Stahl et al.
Artificial intelligence (AI) is producing highly beneficial impacts in many domains, from transport to healthcare, from energy distribution to marketing, but it also raises concerns about undesirable ethical and social consequences. AI impa...
Applications of AI in oil and gas projects towards sustainable development: a systematic literature review [0.03%]
人工智能在油气项目可持续发展中的应用：系统文献综述
Ahsan Waqar,Idris Othman,Nasir Shafiq et al.
Ahsan Waqar et al.
Oil and gas construction projects are critical for meeting global demand for fossil fuels, but they also present unique risks and challenges that require innovative construction approaches. Artificial Intelligence (AI) has emerged as a prom...
Impact of employee digital competence on the relationship between digital autonomy and innovative work behavior: a systematic review [0.03%]
员工数字能力对数字自主性和创新工作行为之间关系的影响：系统综述
Pham Thanh Huu
Pham Thanh Huu
With the advent of the COVID-19 pandemic, the level of concern regarding employee digital competence has increased significantly. Several studies provide different surveys, but they cannot describe the relationship between digital autonomy ...
Review on chest pathogies detection systems using deep learning techniques [0.03%]
基于深度学习的胸部疾病检测系统综述
Arshia Rehman,Ahmad Khan,Gohar Fatima et al.
Arshia Rehman et al.
Chest radiography is the standard and most affordable way to diagnose, analyze, and examine different thoracic and chest diseases. Typically, the radiograph is examined by an expert radiologist or physician to decide about a particular anom...
Classification of spinal curvature types using radiography images: deep learning versus classical methods [0.03%]
基于射线照片的脊柱侧弯类型分类：深度学习 vs. 传统方法
Parisa Tavana,Mahdi Akraminia,Abbas Koochari et al.
Parisa Tavana et al.
Scoliosis is a spinal abnormality that has two types of curves (C-shaped or S-shaped). The vertebrae of the spine reach an equilibrium at different times, which makes it challenging to detect the type of curves. In addition, it may be chall...
A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques [0.03%]
基于集成技术的社交网络情感分析系统的综述与研究
Dimple Tiwari,Bharti Nagpal,Bhoopesh Singh Bhati et al.
Dimple Tiwari et al.
Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language Processing (NLP). It is a broadly active method for analyzing and extracting opinions from text using individual or ensemble learning techniques. This field ...
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges [0.03%]
元启发式搜索和优化算法的全面综述：分类学、应用与公开挑战
Kanchan Rajwar,Kusum Deep,Swagatam Das
Kanchan Rajwar
As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms (MAs) have been developed to date, with over 350 of them appearing in the ...
Sentiment analysis: A survey on design framework, applications and future scopes [0.03%]
情感分析：设计框架、应用和未来研究范畴综述
Monali Bordoloi,Saroj Kumar Biswas
Monali Bordoloi
Sentiment analysis is a solution that enables the extraction of a summarized opinion or minute sentimental details regarding any topic or context from a voluminous source of data. Even though several research papers address various sentimen...