Search Results - "Zheng, Qinghe"
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Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification
Published in Neural computing & applications (01-07-2021)“…Automatic modulation classification is an essential and challenging topic in the development of cognitive radios, and it is the cornerstone of adaptive…”
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Improvement of Generalization Ability of Deep CNN via Implicit Regularization in Two-Stage Training Process
Published in IEEE access (01-01-2018)“…Optimization of deep learning is no longer an imminent problem, due to various gradient descent methods and the improvements of network structure, including…”
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A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification
Published in Discrete dynamics in nature and society (2020)“…Nowadays, deep learning has achieved remarkable results in many computer vision related tasks, among which the support of big data is essential. In this paper,…”
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4
PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning
Published in Multidimensional systems and signal processing (01-07-2020)“…Deep convolutional neural networks (CNNs) have demonstrated its extraordinary power on various visual tasks like object detection and classification. However,…”
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5
Perturbation consistency and mutual information regularization for semi-supervised semantic segmentation
Published in Multimedia systems (01-04-2023)“…Recent semi-supervised learning has attracted much attention by leveraging the hidden structures learned from unlabeled data to reduce the number of required…”
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Classification and Localization of Multi-Type Abnormalities on Chest X-Rays Images
Published in IEEE access (2023)“…Chest X-ray images are among the most common diagnostic tools for detecting and managing bronchopneumonia and lung abnormalities, such as those caused by…”
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A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViT
Published in Cognitive neurodynamics (01-04-2024)“…Automatic modulation classification (AMC) is a challenging topic in the development of cognitive radio, which can sense and learn surrounding electromagnetic…”
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Overview on Intrusion Detection Systems Design Exploiting Machine Learning for Networking Cybersecurity
Published in Applied sciences (01-07-2023)“…The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to detect and identify intrusion attacks. With the increasing…”
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A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation
Published in Sensors (Basel, Switzerland) (29-12-2021)“…The fault detection of manned submersibles plays a very important role in protecting the safety of submersible equipment and personnel. However, the diving…”
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Infrared Small Target Detection Based on Density Peak Search and Local Features
Published in IET signal processing (27-05-2024)“…The detection of small infrared targets is still a challenging task and efficient and accurate detection plays a key role in modern infrared search and…”
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Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture
Published in IEEE access (2021)“…Fingerprint recognition systems have been applied widely to adopt accurate and reliable biometric identification between individuals. Deep learning, especially…”
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Detection of the Deep-Sea Plankton Community in Marine Ecosystem with Underwater Robotic Platform
Published in Sensors (Basel, Switzerland) (10-10-2021)“…Variations in the quantity of plankton impact the entire marine ecosystem. It is of great significance to accurately assess the dynamic evolution of the…”
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CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition
Published in Multidimensional systems and signal processing (2021)“…Recently, deep learning based models have demonstrated the superiority in a variety of visual tasks like object detection and instance segmentation. In…”
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14
UAV-Assisted Wideband Terahertz Wireless Communications with Time-Delay Phased UPA under Beam Squint
Published in Drones (Basel) (01-09-2023)“…Future Unmanned Aerial Vehicle (UAV)-assisted wireless communication systems are expected to utilize wide bandwidths available at terahertz (THz) frequencies…”
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Part II: Oxidative Thermal Aging of Pd/Al2O3 and Pd/CexOy-ZrO2 in Automotive Three Way Catalysts: The Effects of Fuel Shutoff and Attempted Fuel Rich Regeneration
Published in Catalysts (23-10-2015)“…The Pd component in the automotive three way catalyst (TWC) experiences deactivation during fuel shutoff, a process employed by automobile companies for…”
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Part I: A Comparative Thermal Aging Study on the Regenerability of Rh/Al2O3 and Rh/CexOy-ZrO2 as Model Catalysts for Automotive Three Way Catalysts
Published in Catalysts (23-10-2015)“…The rhodium (Rh) component in automotive three way catalysts (TWC) experiences severe thermal deactivation during fuel shutoff, an engine mode (e.g., at…”
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MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems
Published in Drones (Basel) (01-10-2023)“…Nowadays, automatic modulation classification (AMC) has become a key component of next-generation drone communication systems, which are crucial for improving…”
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Resource Allocation for UAV-RIS-Assisted NOMA-Based URLLC Systems
Published in Drones (Basel) (01-07-2024)“…This work focuses on maximizing the sum rate of ultra-reliable low-latency communication (URLLC) systems by leveraging unmanned aerial vehicle-mounted…”
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Task-Specific Ionic Liquids Functionalized by Cobalt(II) Salen for Room Temperature Biomimetic Dioxygen Binding
Published in Industrial & engineering chemistry research (09-01-2019)“…Development of task-specific ionic liquids (TSILs) with delicately designed chemical functionalities allow selective chemisorption of specific gas components…”
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A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data
Published in Big data and cognitive computing (01-09-2023)“…At present, the design of modern vehicles requires improving driving performance while meeting emission standards, leading to increasingly complex power…”
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