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• A remote sensing image scene classification algorithm base on neural architecture search (NAS) is proposed.

Remote sensing image scene classification (RSISC) is one of the bases of visual question answering for remote sensing data (RSVQA). In the conventional deep learning based solutions of RSISC, domain experts have to manually design the ...

The purpose of this paper is to present mechanisms and algorithms for improving Bitcoin cryptocurrency efficiency, security along with the block propagation times. Specifically, Segregated Witness Implementation (SWI) issues are verified based on ...

Multi-access edge computing (MEC) is emerging as a new and promising methodology with the development of Internet of Things (IoT) and smart devices, which enables a large class of applications and has emerged with a significance to change our life,...

Identity spoofing is one of the severe threats in Cyber-Physical Systems (CPS). These attacks can cause hazardous issues if they occur in Air Traffic Control (ATC) or other safety-critical systems. For example, a malicious UAV (Unmanned Aerial ...

Twitter social network has gained more popularity due to the increase in social activities of registered users. Twitter performs dual functions of online social network (OSN), acting as a microblogging OSN, and at the same time as a news update ...

Comprehensive understanding of the built environment, especially the urban form, is a prerequisite for building a smart city. Data analytics of urban fabric metrics using quantitative methods is critical to understanding a city’s ...

• A series of morphological indexes of urban blocks are established.
• Statistical ...

Location-based service (LBS) has aroused general interest in both industrial and academic fields. Various scenarios require different localization techniques. Outdoor localization usually needs GPS as the core means and draws support ...

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• A WiFi sub-detector for indoor/outdoor detection based on weak classifier is developed.

Wireless Sensor Networks (WSNs) constitute one of the most promising third-millennium technologies and have wide range of applications in our surrounding environment. The reason behind the vast adoption of WSNs in various applications is that they have ...

Software Defined Networking (SDN) architecture satisfies the flexibility and scalability requirements of Internet of Things (IoT) network. A large amounts of IoT data is transmitted and exchanged through IoT network. However, many of services of IoT are ...

The low earth orbit (LEO) satellite network has been a valuable architecture due to its characteristics of wide coverage and low transmission delay. Utilizing LEO satellites as edge computing nodes to provide real-time services for access terminals will ...

With the continuous development of information technology, enterprises, universities and governments are constantly stepping up the construction of electronic personnel information management system. The information of hundreds of ...

• A method for solving blockchain information redundancy is proposed.
• Analyze the ...

Video frame manipulation has become commonplace with the growing easy access to powerful computing abilities. One of the most common types of video frame tampers is the copy-paste tamper, wherein a region from a video frame is replaced with ...

Real‐time effective traffic flow big data prediction network has important application significance. Over the past few years, traffic flow data have been exploding and we have entered the big data era. The key challenge of traffic flow prediction ...

image image Real‐time effective traffic flow big data prediction network has important application significance. Over the past few years, traffic flow data have been exploding and we have entered the big data era. This paper proposes a novel traffic flow ...

How to design an economic lightweight security scheme is emerging as a challenging issue since a larger number of private and confidential datum are generated every day in this big data era. As presented in this paper, dynamic systems ...

• It analyzes the random behaviors of the iterative multivariate polynomials.
• It ...

Coverage-guided kernel fuzzing is a widely-used technique that has helped kernel developers and testers discover numerous vulnerabilities. However, due to the high complexity of application and hardware environment, there is little study on deploying ...

Smart Connected Health Systems (SCHSs) belong to health systems that provide services of health care remotely. They provide the doctors with access to electronic medical records with the aid of medical sensors, smart wearable devices and smart medical ...

Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in ...

The rapid development of Cyber-Physical System (CPS) is gradually cultivating a smart world based on Big Data and computational infrastructures. Such reformation has initiated revolutions in various industries and is gradually ...

In the multimedia system for Internet of Vehicles (IoVs), accurate traffic flow information processing and feedback can give drivers guidance. In traditional information processing for IoVs, few researches deal with traffic flow ...

• Application of deep learning in short-term traffic flow prediction.
• Proposing a ...

The world is going to be more and more digital with effective utilization of information and communication technologies in government services to provide services to their citizens. In developing countries, public cloud is now considered a ...