Currently, Edge computing (EC) paradigm is adopted to provision the low-latency resources
for the massive real-time services in Internet of vehicles (IoV). To alleviate the QoE (Quality …

Big data is an important factor almost in all nowadays technologies, such as, social media,
smart cities, and internet of things. Most of standard classifiers tends to be trapped in local …

Neural relation extraction discovers semantic relations between entities from unstructured
text using deep learning methods. In this study, we present a comprehensive review of …

As multimedia technology has advanced in recent years, the use of enormous image
libraries has dramatically expanded. In applications for image processing, image retrieval …

The utilization of digital picture search and retrieval has grown substantially in numerous
fields for different purposes during the last decade, owing to the continuing advances in …

One of the main obstacles in publishing in a Linked Data way is to connect the dataset being
published externally with related data sources in the cloud, known as Data Interlinking. This …

Case-based reasoning has considerable potential to model decision support systems for
smart agriculture, assisting farmers in managing farming operations. However, with the …

Neural relation extraction discovers semantic relations between entities from unstructured
text using deeplearning methods. In this study, we make a clear categorization of the …

The existing one-factor cancellable biometrics algorithms generally require random
sequences to reorder the biometrics, which reduces the discrimination of the transformed …

Web is becoming rich in data. Some of the sources from where these data are originating
includes Blogs, YouTube, Twitter, Emails, E‐commerce, Banking, sensors, and the Internet …