Bo Zhang

ORCID: 0000-0002-2380-8681
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About
Contact & Profiles
Research Areas
  • Cooperative Communication and Network Coding
  • Higher Education and Teaching Methods
  • Wireless Networks and Protocols
  • Mobile Ad Hoc Networks
  • Advanced MIMO Systems Optimization
  • Wireless Communication Security Techniques
  • Energy Harvesting in Wireless Networks
  • Indoor and Outdoor Localization Technologies
  • Advanced Sensor and Control Systems
  • Video Surveillance and Tracking Methods
  • E-commerce and Technology Innovations
  • Advanced Wireless Network Optimization
  • Educational Technology and Pedagogy
  • Advanced Computational Techniques and Applications
  • Gait Recognition and Analysis
  • Mobile Agent-Based Network Management
  • Interconnection Networks and Systems
  • Video Analysis and Summarization
  • Context-Aware Activity Recognition Systems
  • Energy Efficient Wireless Sensor Networks
  • Wireless Sensor Networks and IoT
  • Electrospun Nanofibers in Biomedical Applications
  • Opportunistic and Delay-Tolerant Networks
  • Advanced Algorithms and Applications
  • Speech and Audio Processing

University of Illinois Urbana-Champaign
2019-2025

Henan Provincial People's Hospital
2020-2024

Zhengzhou University
2010-2024

China Southern Power Grid (China)
2024

Chongqing Vocational Institute of Engineering
2024

Anhui Business College
2013-2024

Shenzhen Institutes of Advanced Technology
2024

Langfang Normal University
2024

Lyceum of the Philippines University
2024

Hebei University of Technology
2011-2023

The appearance of generative adversarial networks (GAN) provides a new approach and framework for computer vision. Compared with traditional machine learning algorithms, GAN works via training concept is more powerful in both feature representation. also exhibits some problems, such as non-convergence, model collapse, uncontrollability due to high degree freedom. How improve the theory apply it computer-vision-related tasks have now attracted much research efforts. In this paper, recently...

10.1109/access.2018.2886814 article EN cc-by-nc-nd IEEE Access 2018-12-14

Cognitive radio has become an effective theory to solve the inefficiency of spectrum usage, and cooperative sensing among secondary users detect primary user accurately is broadly studied before. In this paper, we employ a double threshold method in energy detector perform sensing, while fusion center cognitive network collects local decisions observational values users, then makes final decision determine whether absence or not. Simulation results will show that performance AWGN channels...

10.1109/crowncom.2008.4562451 article EN 2008-05-01

Abstract The dynamic spreading phenomenon of liquids is vital for both understanding wetting mechanisms and visual reaction time‐related applications. However, how to control accelerate the process still an enormous challenge. Here, a unique microchannel nanofiber array morphology enhanced rapid superspreading (RSS) effect on animals’ corneas with time (ST) 830 ms found, respective roles in RSS are explicitly demonstrated. Specifically, induced by in‐/out‐of‐plane nanocapillary forces among...

10.1002/adma.202007152 article EN Advanced Materials 2021-04-23

Due to the complexity of myocardial infarction (MI) waveform, most traditional automatic diagnosis models rarely detect it, while those able MI often require high computing and storage capacity, rendering them unsuitable for portable devices. Therefore, in order convenient real-time detection, it is essential design lightweight suitable resource-limited This paper proposes a novel multi-channel model (ML-Net), that provides new solution detection devices with limited resources. In ML-Net,...

10.1109/jbhi.2021.3060433 article EN IEEE Journal of Biomedical and Health Informatics 2021-02-20

By running applications and services closer to the user, edge processing provides many advantages, such as short response time reduced network traffic. Deep-learning based algorithms provide significantly better performances than traditional in fields but demand more resources, higher computational power memory. Hence, designing deep learning that are suitable for resource-constrained mobile devices is vital. In this paper, we build a lightweight neural network, termed LiteNet which uses...

10.3390/s18041229 article EN cc-by Sensors 2018-04-17

The covariance index method, the idiosyncratic item response and machine learning method are three primary response-pattern-based (RPB) approaches to detect faking on personality tests. However, less is known about how their performance affected by different practical factors (e.g., scale length, training sample size, proportion of participants) when they perform optimally. In present study, we systematically compared RPB detection methods across conditions in empirical-data-based resampling...

10.1037/apl0001261 article EN Journal of Applied Psychology 2025-01-20

Using data from the 2003 Ontario Student Drug Use Survey (Centre for Addiction and Mental Health, Toronto), relationships between bullying smoking in adolescents were examined. A representative sample of 3314 grade 7-12 students was included analysis. Models adjusted confounders identified current literature. Multinomial logistic regression showed that smokers more likely to be bullies than nonsmokers (relative risk ratio = 2.3, p < .001); being a smoker not associated with victim or...

10.1111/j.1746-1561.2006.00143.x article EN Journal of School Health 2006-10-06

Body movement is one of the most important indicators sleep quality for elderly people living alone. crucial staging and can be combined with other indicators, such as breathing heart rate to monitor quality. Nevertheless, traditional monitoring methods are inconvenient may invade users' privacy. To solve these problems, we propose a contactless body recognition (CBMR) method via WiFi signals. First, CBMR uses commercial off-the-shelf devices collect channel state information (CSI) data...

10.1109/jiot.2019.2960823 article EN IEEE Internet of Things Journal 2019-12-19

Abstract The aim of this study was to evaluate the distribution new Corneal Visualisation Scheimpflug Technology (Corvis ST) parameters in normal, Post-laser situ keratomileusis (LASIK), Post-LASIK keratectasia (KE) and keratoconus (KC) eyes, explore diagnostic ability these distinguishing KE from LASIK eyes. Twenty-three normal 23 eyes KC were recruited study. following Corvis ST measured: Max Inverse Radius, deformation amplitude (DA) Ratio [2 mm], Pachy Slope, DA [1 Ambrosio’s relational...

10.1038/s41598-020-62825-y article EN cc-by Scientific Reports 2020-03-30

The suture retention strength of artificial vascular grafts is a key mechanical property that affects the function grafts. Different from conventional method testing strength, this study simulated actual suturing state scaffolds approximately and investigated effect graft type, wall thickness, number stitches on poly(l-lactide-co-ε-caprolactone) P(LLA-CL) results showed tissue-engineered have excellent performance and, when thickness greater than 0.24 mm, will meet transplantation standard....

10.1039/c9ra04529e article EN cc-by-nc RSC Advances 2019-01-01

Free viewpoint video (FVV) offers compelling interactive experience by allowing users to switch any viewing angle at time. An FVV is composed of a large number camera-captured anchor views, with virtual views (not captured camera) rendered from their nearby anchors using techniques such as depth-image-based rendering (DIBR). We consider group wireless who may interact an independently switching views. study novel live streaming network where each user pulls subset the server via primary...

10.1109/tmm.2016.2518485 article EN IEEE Transactions on Multimedia 2016-01-18

Polytetrafluoroethylene (PTFE) is one of the polymers extensively applied in biomedicine. However, application PTFE as a small-diameter vascular graft results thrombosis and intimal hyperplasia because immune response. Therefore, improving biocompatibility anticoagulant properties key to solving this problem. In study, hydroxyl group-rich surface was obtained by oxidizing benzoin-reduced membrane. Then, chondroitin sulfate (CS), an anticoagulant, grafted on hydroxylated membrane using...

10.1021/acsabm.9b00970 article EN ACS Applied Bio Materials 2019-12-30

As a part of maritime informatization, the whole river basin signal coverage radio network is importantly significant to data transmission between ship and shore. More specifically, on relatively complex Inland River, traditional propagation loss empirical formulas cannot fulfill demand due diverse application environment. Consequently, by focusing several typical inland regions' measurement analyzing commonly used models, corresponding optimization models are designed. Finally, comparison...

10.1109/ictis.2015.7232080 article EN 2015-06-01

Abstract China is a populous country but lacks epidemiological data on keratoconus (KC). The present study aimed to investigate the clinical data, demographic and visual function (VF) of KC patients in Central China. A total 524 eyes 307 (217 bilateral 90 unilateral) from Henan Eye Hospital were included current study. Demographic VF assessed with questionnaires administered by well-trained staff during face-to-face interviews. Visual acuity value was examined qualified optometrist, measured...

10.1038/s41598-021-87291-y article EN cc-by Scientific Reports 2021-04-06

Studies have indicated that collagen α‑1 (IV) chain (COL4A1) has an indispensable regulatory role in the complex pathological mechanisms of numerous types malignant tumor. However, its development glioma remained elusive. Therefore, present study sought to determine association between expression levels COL4A1 and clinical characteristics gliomas by analyzing large samples. First, analysis thousands tissue samples collected from Gene profiling interactive analysis, Expression Omnibus...

10.3892/etm.2021.10658 article EN Experimental and Therapeutic Medicine 2021-08-27

Support vector regression (SVR) is a popular function estimation technique based on Vapnik's concept of support machine. Among many variants, the l1-norm SVR known to be good at selecting useful features when are redundant. Sparse coding (SC) widely used in areas and number efficient algorithms available. Both SC can for linear regression. In this brief, close connection between revealed some typical compared The results show that outperform Newton programming algorithm, an efficiency. then...

10.1109/tnnls.2014.2377245 article EN IEEE Transactions on Neural Networks and Learning Systems 2015-01-06

Treatment of cardiovascular diseases suffers from the lack transplantable small-diameter blood vessel (SDBV) grafts that can prohibit/eliminate thrombosis. Although expanded poly(tetrafluoroethylene) (ePTFE) has potential to be used for SDBV grafts, recurrence thrombus remains biggest challenge. In this study, a reactive oxygen species (ROS)-responsive antithrombogenic drug synthesis and bulk coating process were employed fabricate functional ePTFE capable prohibiting/eliminating clots. The...

10.1021/acsami.0c07868 article EN ACS Applied Materials & Interfaces 2020-06-04

To improve noise tolerance of link transmission and router buffers, we propose an error control scheme that integrates a powerful recovery method, efficient buffer correction coding, algorithm to further manage the loss header tail flits in packet. With this can be effectively protected, reducing network saturation. Simulation results show proposed achieves up 9x improvement operation time before saturation 26% higher throughput than other methods. Simulations performed on parallel FFT...

10.1109/iscas.2010.5537694 article EN 2010-05-01
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