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...
Federated learning for 6G-enabled secure communication systems: a comprehensive survey [0.03%]
面向6G的安全通信系统的联邦学习综述
Deepika Sirohi,Neeraj Kumar,Prashant Singh Rana et al.
Deepika Sirohi et al.
Machine learning (ML) and Deep learning (DL) models are popular in many areas, from business, medicine, industries, healthcare, transportation, smart cities, and many more. However, the conventional centralized training techniques may not a...
Video summarization using deep learning techniques: a detailed analysis and investigation [0.03%]
基于深度学习的视频摘要研究综述与分析
Parul Saini,Krishan Kumar,Shamal Kashid et al.
Parul Saini et al.
One of the critical multimedia analysis problems in today's digital world is video summarization (VS). Many VS methods have been suggested based on deep learning methods. Nevertheless, These are inefficient in processing, extracting, and de...
Multiple criteria decision analytic methods in management with T-spherical fuzzy information [0.03%]
基于T-球模糊信息的管理中多准则决策分析方法
Ting-Yu Chen
Ting-Yu Chen
With a focus on T-spherical fuzzy (T-SF) sets, the aim of this paper is to create a split-new appraisal mechanism and an innovative decision analytic method for use with multiple-criteria assessment and selection in uncertain situations. Th...
Medical image data augmentation: techniques, comparisons and interpretations [0.03%]
医学图像数据增强：方法、比较与解释
Evgin Goceri
Evgin Goceri
Designing deep learning based methods with medical images has always been an attractive area of research to assist clinicians in rapid examination and accurate diagnosis. Those methods need a large number of datasets including all variation...