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AI-enhanced cloud-edge-terminal collaborative network: Survey, applications, and future directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Designing metasurfaces for efficient solar energy conversion
Metasurfaces have recently emerged as a promising technological platform, offering
unprecedented control over light by structuring materials at the nanoscale using two …
unprecedented control over light by structuring materials at the nanoscale using two …
ICT in nursing and patient healthcare management: sco** review and case studies
Over the past few decades, Information and Communication Technologies (ICT) have
revolutionized the fields of nursing and patient healthcare management. This sco** review …
revolutionized the fields of nursing and patient healthcare management. This sco** review …
Automated multidimensional analysis of global events with entity detection, sentiment analysis and anomaly detection
The modern era, with information overload, has compelled strategic decision makers to
obtain assistance from artificial intelligence-(AI) based decision support systems (DSS) …
obtain assistance from artificial intelligence-(AI) based decision support systems (DSS) …
[HTML][HTML] Identifying the drivers of negative news with sentiment, entity and regression analysis
FK Sufi - International Journal of Information Management Data …, 2022 - Elsevier
Modern-day news agencies cater for a wide range of negative news, since multiple studies
show general people are more attracted towards negative news. Once a highly negative …
show general people are more attracted towards negative news. Once a highly negative …
Sentiment analysis of tweets using unsupervised learning techniques and the k-means algorithm
O Iparraguirre-Villanueva, V Guevara-Ponce… - 2022 - repositorio.uwiener.edu.pe
Today, web content such as images, text, speeches, and videos are user-generated, and
social networks have become increasingly popular as a means for people to share their …
social networks have become increasingly popular as a means for people to share their …
SAR-BSO meta-heuristic hybridization for feature selection and classification using DBNover stream data
Advancements in cloud technologies have increased the infrastructural needs of data
centers due to storage needs and processing of extensive dimensional data. Many service …
centers due to storage needs and processing of extensive dimensional data. Many service …
[HTML][HTML] AI-based big data analytics model for medical applications
Today, people's daily lives depended on their mobile phones, facilitating many beneficial
tasks. Mobile computing and cloud computing combine cloud-based mobile computing to …
tasks. Mobile computing and cloud computing combine cloud-based mobile computing to …
MIFNet: A lightweight multiscale information fusion network
Semantic segmentation technique plays a crucial role in Internet of Things applications,
such as industrial robotics and self‐driving. Recently deep learning approaches have …
such as industrial robotics and self‐driving. Recently deep learning approaches have …
Magnetic force classifier: A novel method for big data classification
There are a plethora of invented classifiers in Machine learning literature, however, there is
no optimal classifier in terms of accuracy and time taken to build the trained model …
no optimal classifier in terms of accuracy and time taken to build the trained model …