Hawekotte, Keenan Luczak, Susan E Rosen, I G
Published in
Mathematical biosciences and engineering : MBE
The posterior distribution (PD) of random parameters in a distributed parameter-based population model for biosensor measured transdermal alcohol is estimated. The output of the model is transdermal alcohol concentration (TAC), which, via linear semigroup theory can be expressed as the convolution of blood or breath alcohol concentration (BAC or Br...
Sun, Bo Wei, Ming Jing, Binbin
Published in
Mathematical biosciences and engineering : MBE
This paper presents an optimization model for assigning a set of arrival and departure flights to multiple runways and determining their actual times with consideration of incursions. Due to the lack of data, fuzzy incursion time is used to describe the uncertainty with the help of artificial experience. Moreover, the multiple-goal priority conside...
Wang, Feng Chang, Shan Wei, Dashun
Published in
Mathematical biosciences and engineering : MBE
Aiming at the problems of the wet experiment method in identifying the types of conotoxins, such as the complexity, low efficiency and high cost, this study proposes a method that uses the sequence information of the conotoxin peptides combined with long short term memory networks (LSTM) models to predict the Methods of spirotoxin category. This me...
Luo, Yong
Published in
Mathematical biosciences and engineering : MBE
We study the existence of global unique classical solution to a density-dependent prey-predator population system with indirect prey-taxis effect. With two Lyapunov functions appropriately constructed, we then show that the solution can asymptotically approach prey-only state or coexistence state of the system under suitable conditions. Moreover, l...
Yu, Xin Liu, Jun Xie, Ruiwen Chang, Mengling Xu, Bichun Zhu, Yangqing Xie, Yuancai Yang, Shengli
Published in
Mathematical biosciences and engineering : MBE
We aimed to construct a novel prognostic model based on N6-methyladenosine (m6A)-related autophagy genes for predicting the prognosis of lung squamous cell carcinoma (LUSC). Gene expression profiles and clinical information of Patients with LUSC were downloaded from The Cancer Genome Atlas (TCGA) database. In addition, m6A- and autophagy-related ge...
Li, Hongan Zheng, Qiaoxue Yan, Wenjing Tao, Ruolin Qi, Xin Wen, Zheng
Published in
Mathematical biosciences and engineering : MBE
The image super-resolution reconstruction method can improve the image quality in the Internet of Things (IoT). It improves the data transmission efficiency, and is of great significance to data transmission encryption. Aiming at the problem of low image quality in image super-resolution using neural networks, a self-attention-based image reconstru...
Ge, Huilin Dai, Yuewei Zhu, Zhiyu Wang, Biao
Published in
Mathematical biosciences and engineering : MBE
Due to the lack of prior knowledge of face images, large illumination changes, and complex backgrounds, the accuracy of face recognition is low. To address this issue, we propose a face detection and recognition algorithm based on multi-task convolutional neural network (MTCNN). In our paper, MTCNN mainly uses three cascaded networks, and adopts th...
Yu, Jimin Yin, Jiajun Zhou, Shangbo Huang, Saiao Huang, Saiao Xie, Xianzhong
Published in
Mathematical biosciences and engineering : MBE
The image denoising model based on anisotropic diffusion equation often appears the staircase effect while image denoising, and the traditional super-resolution reconstruction algorithm can not effectively suppress the noise in the image in the case of blur and serious noise. To tackle this problem, a novel model is proposed in this paper. Based on...
Tang, Yan Zhao, Zhijin Li, Chun Ye, Xueyi
Published in
Mathematical biosciences and engineering : MBE
For the existing Closed Set Recognition (CSR) methods mistakenly identify unknown jamming signals as a known class, a Conditional Gaussian Encoder (CG-Encoder) for 1-dimensional signal Open Set Recognition (OSR) is designed. The network retains the original form of the signal as much as possible and deep neural network is used to extract useful inf...
Yan, Xinwang Zhao, Xiaowen Yan, Qing Wang, Ye Zhang, Chunling
Published in
Mathematical biosciences and engineering : MBE
Lung adenocarcinoma (LUAD) is a frequently diagnosed malignant tumor that is highly invasive and lethal. The prognosis of patients with LUAD still needs to be improved, as conventional treatment is remarkably well tolerated. In this study, the expression profile of LUAD in the TCGA database was used for differential expression analysis, and differe...
