Jumin Zhao
YOU?
Author Swipe
View article: ASNHC:Adaptive Switching Node with Hybrid Backscatter and Wireless Powered Communication
ASNHC:Adaptive Switching Node with Hybrid Backscatter and Wireless Powered Communication Open
View article: Pavement crack detection and segmentation using nested U‐Net with residual attention mechanism
Pavement crack detection and segmentation using nested U‐Net with residual attention mechanism Open
As global road maintenance needs grew, automatic technologies for detecting and segmenting pavement cracks were developed. Existing methods faced challenges with background noise interference and the segmentation of fine cracks. This paper…
View article: GNSS Signal-to-Noise Snow Depth Inversion Based on Robust Empirical Mode Decomposition
GNSS Signal-to-Noise Snow Depth Inversion Based on Robust Empirical Mode Decomposition Open
Using global navigation satellite system (GNSS) to monitor snow depth helps scientists study the impacts of climate change and predict future climate patterns. In the process of extracting reflection signals from signal-to-noise ratio (SNR…
View article: Heart failure prognosis risk assessment model based on multimodal data fusion and IoT device monitoring
Heart failure prognosis risk assessment model based on multimodal data fusion and IoT device monitoring Open
View article: A Lightweight Denoising Network for Vertical-Cavity Surface-Emitting Laser Defect Images Based on Polar Coordinate Convolution
A Lightweight Denoising Network for Vertical-Cavity Surface-Emitting Laser Defect Images Based on Polar Coordinate Convolution Open
View article: DEFOG: Deep Learning with Attention Mechanism Enabled Cross-Age Face Recognition
DEFOG: Deep Learning with Attention Mechanism Enabled Cross-Age Face Recognition Open
View article: Multi-objective two-stage robust optimization of wind/PV/thermal power system based on meta multi-agent reinforcement learning
Multi-objective two-stage robust optimization of wind/PV/thermal power system based on meta multi-agent reinforcement learning Open
The integration of renewable energy into the power grid poses significant challenges for optimization and scheduling of the power system. In recent years, methods based on deep reinforcement learning have surpassed traditional methods on t…
View article: Imaging segmentation mechanism for rectal tumors using improved U-Net
Imaging segmentation mechanism for rectal tumors using improved U-Net Open
View article: STGNet: Short‐term residential load forecasting with spatial–temporal gated fusion network
STGNet: Short‐term residential load forecasting with spatial–temporal gated fusion network Open
With the continuous transformation of the global power system, ensuring the flexibility and stability of the power system has become a direction that the global energy industry has been striving for. This puts forward higher requirements f…
View article: IQABC-Based Hybrid Deployment Algorithm for Mobile Robotic Agents Providing Network Coverage
IQABC-Based Hybrid Deployment Algorithm for Mobile Robotic Agents Providing Network Coverage Open
Working as aerial base stations, mobile robotic agents can be formed as a wireless robotic network to provide network services for on-ground mobile devices in a target area. Herein, a challenging issue is how to deploy these mobile robotic…
View article: Automatic segmentation of rectal tumors from MRI using multiscale densely connected convolutional neural network based on attention mechanism
Automatic segmentation of rectal tumors from MRI using multiscale densely connected convolutional neural network based on attention mechanism Open
Rectal cancer is one of the most common malignancies in the gastrointestinal tract. Currently, magnetic resonance imaging has become a vital tool in diagnosing and treating patients with rectal cancer. Notably, early diagnosis of rectal ca…
View article: A deep learning system for heart failure mortality prediction
A deep learning system for heart failure mortality prediction Open
Heart failure (HF) is the final stage of the various heart diseases developing. The mortality rates of prognosis HF patients are highly variable, ranging from 5% to 75%. Evaluating the all-cause mortality of HF patients is an important mea…
View article: Intra-Patient and Inter-Patient Multi-Classification of Severe Cardiovascular Diseases Based on CResFormer
Intra-Patient and Inter-Patient Multi-Classification of Severe Cardiovascular Diseases Based on CResFormer Open
Severe cardiovascular diseases can rapidly lead to death. At present, most studies in the deep learning field using electrocardiogram (ECG) are performed on intra-patient experiments for the classification of coronary artery disease (CAD),…
View article: Mitigating GNSS Multipath Effects Using XGBoost Integrated Classifier Based on Consistency Checks
Mitigating GNSS Multipath Effects Using XGBoost Integrated Classifier Based on Consistency Checks Open
Under the influence of urban building roads, especially interference from multipath effects, global navigation satellite system (GNSS) receiver-related output signal distortion can affect the robustness of the positioning system and the fi…
View article: KTI-RNN: Recognition of Heart Failure from Clinical Notes
KTI-RNN: Recognition of Heart Failure from Clinical Notes Open
Although deep learning methods have recently attracted considerable attention in the medical field, analyzing large-scale electronic health record data is still a difficult task.In particular, the accurate recognition of heart failure is a…
View article: RAEN: Rate Adaptation for Effective Nodes in Backscatter Networks
RAEN: Rate Adaptation for Effective Nodes in Backscatter Networks Open
A backscatter network, as a key enabling technology for interconnecting plentiful IoT sensing devices, can be applicable to a variety of interesting applications, e.g., wireless sensing and motion tracking. In these scenarios, the vital in…
View article: EDChannel: Channel Prediction of Backscatter Communication Network Based on Encoder-Decoder
EDChannel: Channel Prediction of Backscatter Communication Network Based on Encoder-Decoder Open
Backscatter communication networks have attracted much attention due to their small size and low power waste, but their spectrum resources are very limited and are often affected by link bursts. Channel prediction is a method to effectivel…
View article: ISEE: Industrial Internet of Things perception in solar cell detection based on edge computing
ISEE: Industrial Internet of Things perception in solar cell detection based on edge computing Open
The photovoltaic industry is a strategic and sunrise industry with international competitive advantages. Driven by policy guidance and market demand, the new energy industry represented by the photovoltaic industry has been a significant e…
View article: RF‐Motion: A Device‐Free RF‐Based Human Motion Recognition System
RF‐Motion: A Device‐Free RF‐Based Human Motion Recognition System Open
In recent years, human motion recognition, as an important application of the intelligent perception of the Internet of Things, has received extensive attention. Many applications benefit from motion recognition, such as motion monitoring,…
View article: A Physical Layer Security Enhancement Scheme under the Ambient Backscatter System
A Physical Layer Security Enhancement Scheme under the Ambient Backscatter System Open
In this paper, we proposed a scheme that Injects artificial noise from the tag end (IANT) to enhance the physical layer security of the ambient backscatter communication (ABC) system. The difference between the ABC system and the tradition…
View article: Classification of Congestive Heart Failure from ECG Segments with a Multi-Scale Residual Network
Classification of Congestive Heart Failure from ECG Segments with a Multi-Scale Residual Network Open
Congestive heart failure (CHF) poses a serious threat to human health. Once the diagnosis of CHF is established, clinical experts need to assess the severity of CHF in a timely manner. It is proved that electrocardiogram (ECG) signals are …
View article: Automatic Classification System of Arrhythmias Using 12-Lead ECGs with a Deep Neural Network Based on an Attention Mechanism
Automatic Classification System of Arrhythmias Using 12-Lead ECGs with a Deep Neural Network Based on an Attention Mechanism Open
Nowadays, a series of social problems caused by cardiovascular diseases are becoming increasingly serious. Accurate and efficient classification of arrhythmias according to an electrocardiogram is of positive significance for improving the…
View article: New convolutional neural network model for screening and diagnosis of mammograms
New convolutional neural network model for screening and diagnosis of mammograms Open
Breast cancer is the most common cancer in women and poses a great threat to women's life and health. Mammography is an effective method for the diagnosis of breast cancer, but the results are largely limited by the clinical experience of …
View article: Optimal data transmission in backscatter communication for passive sensing systems
Optimal data transmission in backscatter communication for passive sensing systems Open
Computational Radio Frequency IDentification (CRFID) is a device that integrates passive sensing and computing applications, which is powered by electromagnetic waves and read by the off-the-shelf Ultra High Frequency Radio Frequency IDent…
View article: Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules
Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules Open
View article: Channel Prediction Based on BP Neural Network for Backscatter Communication Networks
Channel Prediction Based on BP Neural Network for Backscatter Communication Networks Open
Backscatter communication networks are receiving a lot of attention thanks to the application of ultra-low power sensors. Because of the large amount of sensor data, increasing network throughput becomes a key issue, so rate adaption based…
View article: A Novel Hybrid Fusion Algorithm for Low-Cost GPS/INS Integrated Navigation System During GPS Outages
A Novel Hybrid Fusion Algorithm for Low-Cost GPS/INS Integrated Navigation System During GPS Outages Open
It is the main challenge for Global Positioning System (GPS)/Inertial Navigation System (INS) to achieve reliable and low-cost positioning solutions during GPS outages. A new GPS/INS hybrid method is proposed to bridge GPS outages. Firstly…
View article: Novel Hybrid Algorithm of Improved CKF and GRU for GPS/INS
Novel Hybrid Algorithm of Improved CKF and GRU for GPS/INS Open
In order to ensure that Inertial Navigation System/Global Positioning System integrated navigation system (INS/GPS) can still provide high precision positioning results when GPS outages, a novel hybrid algorithm based on Gated Recurrent Un…
View article: Intelligent Management of Chemical Warehouses with RFID Systems
Intelligent Management of Chemical Warehouses with RFID Systems Open
At present, most chemical warehouses rely on human management, which is a time-consuming and laborious process. Therefore, it is very meaningful to use radio frequency identification (RFID) systems for the intelligent management of chemica…
View article: Fast and Reliable Burst Data Transmission for Backscatter Communications
Fast and Reliable Burst Data Transmission for Backscatter Communications Open
Computational radio frequency identification (CRFID) sensors are able to transfer potentially large amounts of data to the reader in the radio frequency range. However, the existing EPC C1G2 protocol is inefficient when there are abundant …