Browsing by Author "Song, Bin"
Now showing items 1-12 of 12
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Adversarial Attacks for Image Segmentation on Multiple Lightweight Models
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Due to the powerful ability of data fitting, deep neural networks have been applied in a wide range of applications in many key areas. However, in recent years, it was found that some adversarial samples easily fool the ... -
Context-Aware Object Detection for Vehicular Networks Based on Edge-Cloud Cooperation
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Due to high mobility and high dynamic environments, object detection for vehicular networks is one of the most challenging tasks. However, the development of integration techniques, such as software-defined networking (SDN) ... -
A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)In the Industrial Internet of Things, the deep learning-based methods are used to help solve various problems. The current-carrying ring as one of important components on the catenary system which is always small in the ... -
Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation
( Elsevier Ltd , 2021 , Article)In the intelligent traffic transportation, the security and stability are vital for the sustainable transportation and efficient logistics. The fault diagnosis on the catenary system is crucial for the railway transportation. ... -
A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network
( MDPI , 2020 , Article)Cognitive radio (CR) is a critical technique to solve the conflict between the explosive growth of traffic and severe spectrum scarcity. Reasonable radio resource allocation with CR can effectively achieve spectrum sharing ... -
Infrared Small Target Detection Through Multiple Feature Analysis Based on Visual Saliency
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Infrared small target detection in extreme environments such as low illumination or complex background with low signal clutter ratio is of crucial significance and counted as a difficult task in infrared search and tracking ... -
Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Nowadays, the recommendation systems are applied in the fields of e-commerce, video websites, social networking sites, which bring great convenience to people's daily lives. The types of information are diversified and ... -
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
( Elsevier B.V. , 2021 , Article)Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ... -
Market-Based Model in CR-IoT: A QProbabilistic Multi-agent Reinforcement Learning Approach
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The ever-increasing urban population and the corresponding material demands have brought unprecedented burdens to cities. To guarantee better QoS for citizens, smart cities leverage emerging technologies such as the Cognitive ... -
A Reinforcement Learning Method for Joint Mode Selection and Power Adaptation in the V2V Communication Network in 5G
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)A 5G network is the key driving factor in the development of vehicle-to-vehicle (V2V) communication technology, and V2V communication in 5G has recently attracted great interest. In the V2V communication network, users can ... -
Resource allocation in information-centric wireless networking with D2D-enabled MEC: A deep reinforcement learning approach
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Recently, information-centric wireless networks (ICWNs) have become a promising Internet architecture of the next generation, which allows network nodes to have computing and caching capabilities and adapt to the growing ... -
Super-Resolution of Brain MRI Images Using Overcomplete Dictionaries and Nonlocal Similarity
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Recently, the magnetic resonance imaging (MRI) images have limited and unsatisfactory resolutions due to various constraints such as physical, technological, and economic considerations. Super-resolution techniques can ...
