Results 51 to 60 of about 16,797 (216)

Graph Wavelet Neural Controlled Differential Equations Method for Speed Prediction Under Traffic Accidents

IET Intelligent Transport Systems
Accurate speed prediction is a crucial component of intelligent transportation systems, as it enhances traffic management and operational efficiency. While the majority of existing research concentrates on speed prediction under normal traffic conditions,
Zihao Wei, Ke Zhang, Shen Li, Meng Li
doaj   +1 more source

Vector quantization using k‐means clustering neural network

Electronics Letters, 2023
Vector Quantization (VQ) is a clustering problem in the fields of signal processing, source coding, information theory etc. Taking advantage of recent advances in the field of deep neural networks, this paper investigates the performance between VQ ...
Sio‐Kei Im, Ka‐Hou Chan
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

CDF‐net: A convolutional neural network fusing frequency domain and spatial domain features

IET Computer Vision, 2023
Convolutional neural network (CNN), as a classic deep learning algorithm, has been applied to various computer vision tasks. However, most classic CNN models focus on the extraction and utilisation of spatial domain features, while ignoring the potential
Aitao Yang, Min Li, Zhaoqing Wu, Yujie He, Xiaohua Qiu, Yu Song, Weidong Du, Yao Gou   +7 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Real‐time vehicle detection using segmentation‐based detection network and trajectory prediction

IET Computer Vision
The position of vehicles is determined using an algorithm that includes two stages of detection and prediction. The more the number of frames in which the detection network is used, the more accurate the detector is, and the more the prediction network ...
Nafiseh Zarei, Payman Moallem, Mohammadreza Shams   +2 more
doaj   +1 more source

Microstrip antenna modelling based on image‐based convolutional neural network

Electronics Letters, 2023
Convolutional neural networks (CNN) have a strong feature extraction ability for images and present a high level of efficiency and accuracy in object detection and image recognition.
Hao Fu, Yubo Tian, Fei Meng, Qing Li, Xuefeng Ren   +4 more
doaj   +1 more source

The multifaceted roles of lysosomes in cancer

Molecular Oncology, EarlyView.
Lysosomes support cancer cell adaptation by integrating macromolecule degradation and nutrient recycling with nutrient sensing, inter‐organelle communication and immune regulation. These interconnected functions can promote tumour growth, stress tolerance and therapy resistance, while also creating context‐dependent vulnerabilities that may be ...
Jia Li, Kevin M. Ryan
wiley   +1 more source

Design of a multivariable neural controller for control of a nonlinear MIMO plant

International Journal of Applied Mathematics and Computer Science, 2014
The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a
Bańka Stanisław, Dworak Paweł, Jaroszewski Krzysztof   +2 more
doaj   +1 more source

Self‐supervised non‐rigid structure from motion with improved training of Wasserstein GANs

IET Computer Vision, 2023
This study proposes a self‐supervised method to reconstruct 3D limbic structures from 2D landmarks extracted from a single view. The loss of self‐consistency can be reduced by performing a random orthogonal projection of the reconstructed 3D structure ...
Yaming Wang, Xiangyang Peng, Wenqing Huang, Xiaoping Ye, Mingfeng Jiang   +4 more
doaj   +1 more source