The state of the art and taxonomy of big data analytics: view from new big data framework
Big data has become a significant research area due to the birth of enormous data
generated from various sources like social media, internet of things and multimedia …
generated from various sources like social media, internet of things and multimedia …
Social Internet of Things: vision, challenges, and trends
IoT describes a new world of billions of objects that intelligently communicate and interact
with each other. One of the important areas in this field is a new paradigm-Social Internet of …
with each other. One of the important areas in this field is a new paradigm-Social Internet of …
A novel fake news detection model for context of mixed languages through multiscale transformer
Fake news detection has been a more urgent technical demand for operators of online
social platforms, and the prevalence of deep learning well boosts its development. From the …
social platforms, and the prevalence of deep learning well boosts its development. From the …
MCDM-based flood risk assessment of metro systems in smart city development: A review
This study presents a review of the multi-criteria decision making (MCDM) methods for flood
risk assessment of metro systems in smart city development. Suggestive perspectives of a …
risk assessment of metro systems in smart city development. Suggestive perspectives of a …
SMART TSS: Defining transportation system behavior using big data analytics in smart cities
A smart city improves the quality of its citizens by providing access to ubiquitous services.
Intelligent Transportation Systems (ITS) have a fundamental role in transforming a …
Intelligent Transportation Systems (ITS) have a fundamental role in transforming a …
Swarm intelligence-based algorithms within IoT-based systems: A review
IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …
Effective features to classify big data using social internet of things
Social Internet of Things (SIoT) supports many novel applications and networking services
for the IoT in a more powerful and productive way. In this paper, we have introduced a …
for the IoT in a more powerful and productive way. In this paper, we have introduced a …
Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing
Abstract Although Big Data, IoT and cloud computing are three distinct approaches that have
evolved independently, they are becoming more and more interconnected over time. The …
evolved independently, they are becoming more and more interconnected over time. The …
Anomaly detection and trust authority in artificial intelligence and cloud computing
The rapid development of smart Internet of Things (IoT) and its multimedia applications with
conventional cloud and edge computing platforms are driving a new trend that shifts the …
conventional cloud and edge computing platforms are driving a new trend that shifts the …
Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection
In this paper, we propose an optimization approach by leveraging swarm intelligence and
ensemble methods to solve the non-deterministic feature selection problem. The proposed …
ensemble methods to solve the non-deterministic feature selection problem. The proposed …