Unobtrusive human activity classification based on combined time‐range and time‐frequency domain signatures using ultrawideband radar by Mohamad Mostafa, Somayyeh Chamaani

Get full text

A belief propagation algorithm based on track‐before‐detect for tracking low‐observable and manoeuvering targets using multiple sensors by Chenghu Cao, Haisheng Huang, Xin Li, Yongbo Zhao

Get full text

Characterize neuronal responses to natural movies in the mouse superior colliculus by Ya-tang Li

“…Here I applied two-photon calcium imaging to record neuronal activity in the mouse superficial SC in response to natural movies. …”
Get full text

Precision Oral Medicine: A DPR Segmentation and Transfer Learning Approach for Detecting Third Molar Compress Inferior Alveolar Nerve by Yuan-Jin Lin, Shih-Lun Chen, Yi-Cheng Mao, Tsung-Yi Chen, Cheng-Hao Peng, Tzu-Hsiang Tsai, Kuo-Chen Li, Chiung-An Chen, Wei-Chen Tu, Patricia Angela R. Abu

“…Thus, the primary objective is to utilize dental panoramic radiography for image processing and classify whether the third molar compresses the inferior alveolar nerve, aiming to reduce the demand for CT images in symptom diagnosis and mitigate the risks associated with high-dose radiation. …”
Get full text

The choice of surgical access in patients with adhesive disease. Case report by Dmitrii V. Kulikov, Elena S. Did-Zurabova, Anastasia Pomelova, Petr I. Bogdanov, Viktor P. Morozov

“…The article presents an algorithm for preoperative assessment of the adhesive process of the abdominal cavity and the choice of surgical access using polypositional ultrasound and CT with intravenous and oral contrast, followed by segmentation and reconstruction of images. …”
Get full text

Improving the quality of SAR radar image detection and identification using neural network to increase the security factor of military tactics by ali alizade, Jalil Mazloum, behrang hadian, ahmad dolatkhah, behnam dorostkar

“…The main goal is to provide a powerful algorithm based on artificial intelligence to improve the detection of SAR radar ground targets with object detection algorithms that are obtained through airplanes or satellites in order to monitor ground targets.Analysis: In the pre-processing stage, after reducing the effect of speckle noise on SAR radar images, the proposed model is investigated to improve the detection of SAR radar ground targets with the help of Lee filter.Analysis of the results: by using YOLO and RCNN algorithms, the RCNN algorithm has a better performance in detecting denoised MSTAR images with an average accuracy of 99.84% compared to YOLO with an average accuracy of 90.424%, but in detecting noisy MSTAR images, the YOLO method With an average accuracy of 80.875%, compared to the RCNN method with an average accuracy of 61.49%, it has a better performance for identifying and improving images and increasing the reliability of the system.…”
Get full text

Lightweight defocus deblurring network for curved-tunnel line scanning using wide-angle lenses by Shaojie Qin, Taiyue Qi, Xiaodong Huang, Xiao Liang

“…While existing deblurring algorithms can improve image quality, they often prioritize results over inference time, which is not ideal for high-speed tunnel image acquisition. …”
Get full text

Normalized Intrinsic Deep Features Based Zero-Watermarking Scheme for Remote Sensing Images Using U-Net and K-Means by Jie Zhang, Xu Xi, Jinglong Du, Xin He, Mingkang Wu, Yi Wei

“…The experiments demonstrate that the algorithm exhibits excellent uniqueness and highly resistance to conventional image processing (e.g., noise, filtering and compression), geometric attacks (e.g., affine transformations and cropping), and combination attacks. …”
Get full text

Research on computer multi feature fusion SVM model based on remote sensing image recognition and low energy system by Yangming Wu, Hao Wu, Xin Tang, Jianwei Lv, Rufei Zhang

“…However, traditional image recognition methods often face the problems of high consumption of computing resources and slow processing speed, especially in low-energy systems. …”
Get full text

Pseudorandom Number Generator Based on Three Kinds of Four-Wing Memristive Hyperchaotic System and Its Application in Image Encryption by Xi Chen, Shuai Qian, Fei Yu, Zinan Zhang, Hui Shen, Yuanyuan Huang, Shuo Cai, Zelin Deng, Yi Li, Sichun Du

“…In the encryption algorithm, the optimized Arnold matrix scrambling method and the diffusion processing based on XOR are used to obtain the final encrypted image. …”
Get full text

Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network by Yeqi Fei, Zhenye Li, Tingting Zhu, Zengtao Chen, Chao Ni

“…By applying hyperspectral imaging and a one-dimensional deep learning algorithm, we detect and classify impurities in seed cotton after harvest. …”
Get full text

Nowcasting Solar Irradiance Components Using a Vision Transformer and Multimodal Data from All-Sky Images and Meteorological Observations by Onon Bayasgalan, Atsushi Akisawa

“…Due to its capability of understanding the overall characteristics of the image through self-attention, a vision transformer is utilized for the image branch while normal dense layers process the tabular meteorological data. …”
Get full text

A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise. by Wei Zhang, Xiaolong Zhang, Juanjuan Zhao, Yan Qiang, Qi Tian, Xiaoxian Tang

“…The fast and accurate segmentation of lung nodule image sequences is the basis of subsequent processing and diagnostic analyses. …”
Get full text

Optimization Strategy of a Stacked Autoencoder and Deep Belief Network in a Hyperspectral Remote-Sensing Image Classification Model by Xiaoai Dai, Junying Cheng, Shouheng Guo, Chengchen Wang, Ge Qu, Wenxin Liu, Weile Li, Heng Lu, Youlin Wang, Binyang Zeng, Yunjie Peng, Shuneng Liang

“…However, because of their multiband and multiredundant characteristics, hyperspectral data processing is still complex. Two feature extraction algorithms, the autoencoder (AE) and restricted Boltzmann machine (RBM), were used to optimize the classification model parameters. …”
Get full text

Remote sensing monitoring of wheat aphids by combining HJ satellite images with least squares twin support vector machine model by HU Gensheng, WU Wentian, LUO Juhua, HUANG Wenjiang, LIANG Dong, HUANG Linsheng

“…In sum, the algorithm proposed in this paper has higher precision than the traditional SVM, FLDA and LVQ neural network.…”
Get full text

Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

“…A variant of neural network for processing with images is a convolutional neural network (CNN). …”
Get full text

Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti

Get full text

Urban Land-use Features Mapping from LiDAR and Remote Sensing Images using Visual Transformer Network Model by Q. Yuan

“…Traditional urban feature mapping methods often rely on a single data source, such as optical remote sensing images or LiDAR, which often encounter many challenges in complex urban environments, such as shading, occlusion, and land cover changes. …”
Get full text

Leveraging Thermal Infrared Imaging for Pig Ear Detection Research: The TIRPigEar Dataset and Performances of Deep Learning Models by Weihong Ma, Xingmeng Wang, Simon X. Yang, Lepeng Song, Qifeng Li

“…Based on this background, a dataset comprising 23,189 thermal infrared images of pig ears (TIRPigEar) was established. The TIRPigEar dataset was obtained through a pig house inspection robot equipped with an infrared thermal imaging device, with post-processing conducted via manual annotation. …”
Get full text

Multi-Channel Coupled Variational Bayesian Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets by Xin Wang, Jing Yang, Yong Luo

“…To address these issues, this paper proposes a Hybrid Variational Bayesian Multi-Interference (HVB-MI) imaging algorithm based on a hierarchical Bayesian framework. …”
Get full text