Bo Zhang

ORCID: 0000-0001-5658-9262
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About
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Research Areas
  • Industrial Vision Systems and Defect Detection
  • Genomic variations and chromosomal abnormalities
  • Image Processing Techniques and Applications
  • Electrospun Nanofibers in Biomedical Applications
  • Image and Object Detection Techniques
  • IoT and Edge/Fog Computing
  • MicroRNA in disease regulation
  • Robotics and Sensor-Based Localization
  • Congenital heart defects research
  • Pediatric Hepatobiliary Diseases and Treatments
  • Elevator Systems and Control
  • Fire Detection and Safety Systems
  • Software Testing and Debugging Techniques
  • Digital Transformation in Industry
  • Context-Aware Activity Recognition Systems
  • Polymer Surface Interaction Studies
  • Advanced Data Processing Techniques
  • Advanced battery technologies research
  • Air Quality Monitoring and Forecasting
  • RNA Research and Splicing
  • Tendon Structure and Treatment
  • TGF-β signaling in diseases
  • Internet Traffic Analysis and Secure E-voting
  • Circular RNAs in diseases
  • Infrared Target Detection Methodologies

Shanghai Jiao Tong University
2025

Xi'an Polytechnic University
2023-2024

Eli Lilly (United States)
2024

Zhengzhou University
2009-2023

Henan Provincial People's Hospital
2021

Henan University
2021

Zhengzhou Children's Hospital
2020-2021

Internet of Things (IoT) devices and services provide convenience but face serious security threats. The network intrusion detection system is vital in ensuring the IoT environment. In environment, we propose a novel two-stage model that combines machine learning deep to deal with class imbalance traffic data achieve fine-grained on large-scale flow data. superiority verified newer larger CSE-CIC-IDS2018 dataset. Stage-1, LightGBM algorithm recognizes normal abnormal compares six classic...

10.3390/info14020077 article EN cc-by Information 2023-01-29

Appropriate regulations on the composition and structure of carbon materials derived from biomasses are requisite to enhance their electrochemical performance. However, a simple green way achieve both nitrogen doping optimization pore has rarely been reported. Herein, by "one-pot" method, we have successfully prepared nitrogen-doped porous using Siraitia grosvenorii peel as precursor. This method simultaneously realizes in situ N optimizes proportion micropores mesopores. N-SGPC-900 °C...

10.1021/acs.energyfuels.2c04369 article EN Energy & Fuels 2023-03-15

<title>Abstract</title> The Internet of Things (IoT) protocols are a core element IoT systems, providing the fundamental support for communication and data exchange between devices. These enable various devices to connect work together. However, potential errors vulnerabilities in protocol implementations can make easily attacked. Therefore, ensuring security is utmost importance. Common vulnerability detection methods, such as fuzzing, encounter significant challenges assessing these...

10.21203/rs.3.rs-6331846/v1 preprint EN Research Square (Research Square) 2025-04-11

Micro/nanofibers have been widely applied to mimic the fibrillary structure of collagen type I from a bionic point view, however, wavy fibers in biological tissues such as arteries and ligaments has hardly fabricated. In this study, universal method was developed fabricate crimped different biopolymers by controlling relaxation residual stress, allowing resulting scaffold stable nonlinear elasticity. The effects processing conditions pre-strain, temperature plasticizer, fixed contraction...

10.1016/j.polymertesting.2020.107045 article EN cc-by-nc-nd Polymer Testing 2020-12-29

Cell proliferation and migration play important parts in ovarian cancer progression. BMP9, as one of the members TGF-β superfamily BMP family, plays a diverse significant array biological roles, including cell differentiation, proliferation, apoptosis, tumorigenesis, metabolism. However, role mechanism BMP9 progression remains uncertain. We found that expression was increased human lines, which induced Notch1 intracellular domain (NICD1) accumulation. And we also abundance is low cells....

10.4149/neo_2021_210326n404 article EN Neoplasma 2021-01-01

Abstract Background The carcinogenic effect of NUP37 has been reported recently in a variety tumors, but its research the field glioma not paid attention. main purpose this study is to reveal relationship between and prognosis or clinical characteristics patients. Methods First, as retrospective study, included thousands tissue samples based on public databases clinicopathological tissues. Second, series bioinformatics analysis methods were used analyze from multiple such CGGA, TCGA, GEO,...

10.1002/cam4.3954 article EN Cancer Medicine 2021-07-15

Aerial image target detection technology has essential application value in navigation security, traffic control and environmental monitoring. Compared with natural scene images, the background of aerial images is more complex, there are small targets, which puts higher requirements on accuracy real-time performance algorithm. To further improve lightweight networks for targets we propose a cross-scale multi-feature fusion method (CMF-YOLOv5s) images. Based original YOLOv5s, bidirectional...

10.3934/mbe.2023721 article EN cc-by Mathematical Biosciences & Engineering 2023-01-01

For bioabsorbable vascular scaffolds (BVS), thrombosis is an important clinical problem. Poly(lactic acid) (PLA), as a commonly used manufacturing material of BVS, always facing events in the early stage BVS implantation, because lack anticoagulant properties. Herein, we introduced carboxyl functional groups on surface PLA by photooxidation modification and then NH2-PEG-NH2 intermediate to graft chondroitin sulfate (CS) onto PLA. Fourier transform infrared spectroscopy was verify success...

10.1021/acsabm.0c01629 article EN ACS Applied Bio Materials 2021-02-19

<title>Abstract</title> In the task of fabric defect detection, there are problems such as missed detection and false caused by defects with large aspect ratios complex backgrounds. We propose an improved method based on YOLOv7, which can reduce amount network parameters while increasing accuracy. Firstly, a double-branch partial convolution module DBPM is added to backbone improving Secondly, simple attention mechanism SimAM introduced in enhance feature extraction ability various size...

10.21203/rs.3.rs-4636672/v1 preprint EN Research Square (Research Square) 2024-07-18

To explore the genetic basis for a child featuring delayed language development.The patient was subjected to conventional G-banding chromosomal karyotyping and single nucleotide polymorphism microarray (SNP array) analysis.The karyotype of 46, XY, r(22)(p11.2q13). SNP array analysis has identified hemizygous 1.67 Mb deletion at 22q13 (arr [Hg19]22q13.33 (49 531 302-51 197 766)×1).The carried ring 22 in addition with microdeletion. The results may provide clues her condition counseling family.

10.3760/cma.j.issn.1003-9406.2020.02.019 article EN PubMed 2020-02-10

To delineate the nature and origin of a chromosomal aberration detected in boy with mental retardation.The proband his parents were subjected to routine G-banded karyotyping single nucleotide polymorphism array (SNP-array) analysis.The karyotype was determined as 46, XX, add(8)(p23). No karyotypic abnormality either parents. SNP-array has identified 34.9 Mb duplication at 8p23.1q11.1 6.78 microdeletion 8p23.1pter proband. copy number variation parent.The child diagnosed 8p inverted deletion...

10.3760/cma.j.cn511374-20200109-00020 article EN PubMed 2021-06-10

With the rapid development of industrial field, frequency accidents caused by accidental leakage and diffusion dangerous gases is also increasing. Habitat environmental monitoring prediction are therefore particular importance. Computer simulation-based analysis, as one current mainstream approaches, generally too time-consuming, limiting its effectiveness in leakage-prediction-based applications. In this paper, we propose Deep-Learning based Real-time Accident Prediction model (DL-RAP) to...

10.1109/apscon56343.2023.10101065 article EN 2023-01-23

In recent years, the growth of Industrial Internet Things has enabled automated data collection and analysis, leading to re-emerging predictive maintenance. However, IIoT devices have insufficient computing power for computationally intensive maintenance tasks. Consequently, Mobile Edge Computing (MEC) been introduced relieve computation burden. This paper focuses on task offloading resource allocation optimization based Deep Deterministic Policy Gradient (DDPG). An Artificial Bee Colony...

10.1109/icct59356.2023.10419793 article EN 2023-10-20
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