Remote Sensing Target Tracking Method Based on Super-Resolution Reconstruction and Hybrid Networks by Hongqing Wan, Sha Xu, Yali Yang, Yongfang Li

“…Moreover, the motion of remote sensing targets usually has nonlinear features, and existing target tracking methods based on remote sensing data cannot accurately track remote sensing targets. …”
Get full text

Ultrashort wave satellite channel classification and recognition algorithm based on mirror filled spectrum and LA-ResNet50 by Shang WU, Lei SHEN, Lijun WANG, Ruxu ZHANG, Xin HU

“…In response to the classification and identification problems of 5 kHz channels, 25 kHz channels, broadband interference channels, narrowband interference channels, and single tone interference channels in the ultrashort wave frequency band, a classification and identification method for ultrashort wave channels based on mirror filled spectrum and LA-ResNet50 (LBP attention ResNet50) was proposed.The problem of difficulty in distinguishing between satellite channels and background noise under low signal-to-noise ratio, as well as the identification of signal channels and interference channels with similar characteristics, has been effectively solved.Firstly, the proposed method performs mirror symmetry on the ultrashort wave spectrum and fills it in, while blackening the edges of the spectrum to construct a mirror-filled spectrum, which improves the discrimination of different types of channel spectra.Then, channel attention was introduced into ResNet50 to focus the attention of the network model on the channel.Finally, a loss function based on cross entropy and local binary pattern (LBP) was proposed to improve the extraction effect of subtle texture features on signal channels and interference channels images.The proposed method based on mirror-filled spectrum and LA-ResNet50 has shown an improvement of 19.8%, 8.2%, 1.8%, and 0.8% in classification accuracy for ultrashort wave channels compared to the traditional method utilizing fast Fourier transform (FFT) spectrum thresholding, the YOLOv5s target detection and classification method based on mirror-filled spectrum, the Attention-ResNet50 method with attention mechanism based on mirror-filled spectrum, and the Transformer network method under a signal-to-noise ratio (SNR) of 10 dB.…”
Get full text

Clinical Significance of Germline Variants in the Gene and Their Association With Prostate Cancer Risk in Polish Men: A Case-Control Study by Marta Heise PhD, Piotr Jarzemski MD, Julia Kuk

“…Objectives Currently, prostate cancer (PC) is the most common medical problem endangering men’s health and life worldwide. …”
Get full text

Сomparative analysis of social disadaptation and criticality indicators in patients with schizoaffective disorder and paranoid schizophrenia as components of pathopersonological tr... by M. Ye. Khomitskyi

“…Differential diagnosis of schizophrenia or schizoaffective disorder (SAD), both are included in endogenous psychoses group, which represents an extremely important problem in clinical practice and modern psychiatric theory considering steady expanding and transforming ideas about the systematic typology of mental diseases in recent years. …”
Get full text

Usability of the GrabMerchant Application: An Evaluation using the System Usability Scale and the Retrospective Think Aloud Method by Rima Handayani, Evi Maria

“…Several issues reported by users—such as errors in the notification feature, inventory management, and promotion setup—indicate potential usability problems. …”
Get full text

Numerical Simulation Data-Aided Domain-Adaptive Generalization Method for Fault Diagnosis by Tao Yan, Jianchun Guo, Yuan Zhou, Lixia Zhu, Bo Fang, Jiawei Xiang

“…To address this issue, effectively extracting fault features in the source domain and generalizing them to unseen target tasks becomes a viable strategy in machinery fault detection. …”
Get full text

Segmentation and particle size analysis of coal particles based on ISUNet by Deqiang CHENG, Rui ZHANG, Tongxi XIE, Jingjing LIU, Lijuan ZHENG, Qiqi KOU, He JIANG

“…The compressed excitation atrous spatial pyramid pooling module enhances channel information and global context information of features at different scales, solving the problem of over-segmentation of coal particles. …”
Get full text

Incidence of acute intestinal infections in Saint Petersburg during COVID-19 pandemic by T. V. Potapova, K. D. Ermolenko, A. V. Kholin, A. V. Stalevskaya, S. A. Gordeeva, I. V. Razdyakonova

“…The article reflects current trends in the frequency of detection of acute intestinal infections of viral and bacterial etiology, in particular, the growing prevalence of norovirus infection is shown. …”
Get full text

Research on data-driven and correlation-based electric energy error analysis method by RONG Xueqin, DING Yingying, LIU Yong

“…A supplementary strategy is proposed to use operational errors as a reliable source of load point errors in traditional methods, in response to the problem of insufficient detection of load points in electric energy meters and the inability of some load point errors to fully represent the full range measurement characteristics caused by the limited load point calibration method. …”
Get full text

Seismic phase recognition model with low SNR based on U-net by Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li

“…Aiming at the problem of low recognition accuracy and high missed detection rate of seismic phase recognition of low signal-to-noise ratio seismic signals, a new seismic phase recognition model UBAN (U-net-Bidirectional Gated Recurrent Unit-Attention Network) is designed based on U-net neural network framework, combined with Bi-GRU bidirectional gated recurrent unit and Attention attention mechanism. …”
Get full text

Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…In hot spot spatial analysis, fourteen hot spot clusters were detected. Eight clusters were detected as significantly clustered from those fourteen hot spot areas at the 99% confidence level. …”
Get full text

A Deep Shrinkage Network for Direction-of-Arrival Estimation with Sparse Prior by Lei Zhou, Shihong Zhou, Yubo Qi, Lixin Wu, Yannick Benezeth

“…Current methods struggle with this problem in passive detection scenarios. To address these limitations, this study proposes a deep learning (DL)-based DOA estimation framework leveraging sparse representation. …”
Get full text

PolyReg: Autoregressive Building Outline Regularization via Masked Attention Sequence Generation by Longfei Cui, Chao Li, Xin Chen, Xiao Wang, Haizhong Qian

“…In the first stage, the SegFormer model is used to extract image features, effectively capturing global context information. …”
Get full text

A Novel Energy Control Digital Twin System with a Resource-Aware Optimal Forecasting Model Selection Scheme by Jin-Woo Kwon, Anwar Rubab, Won-Tae Kim

“…The system dynamically selects optimal forecasting models by integrating statistical features of the input time series with available resources. …”
Get full text

Spatiotemporal Flood Hazard Classification in Bangkok Using Graph Convolutional Network and Temporal Fusion Transformer by Pakpoom Chaimook, Nirattaya Khamsemanan, Cholwich Nattee, Alice Sharp

“…Traditional flood prediction models often fail to capture spatial correlations across districts and the temporal patterns within different types of features. To address this problem, this study proposes a hybrid deep learning framework combining Graph Convolution Network (GCN) and the Temporal Fusion Transformer (TFT) for predicting flood hazard levels in 50 Bangkok districts. …”
Get full text

THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…Introduction: Artificial intelligence (AI) is defined as an artificial entity capable of solving problems, learning from experience, and performing tasks such as pattern recognition and inductive reasoning. …”
Get full text

CARDIOVASCULAR AND METABOLIC IMPAIRMENT IN PATIENTS WITH OBSTRUCTIVE SLEEP APNEA by M. V. Gorbunova, S. L. Babak, A. G. Maliavin

“…Now obstructive sleep apnea (OSA) recognized as an  independent predictor of the development of impaired glucose  tolerance (insulin resistance, fasting hyperglycaemia), type 2  diabetes mellitus (DM2), resistant arterial hypertension, cardio- vascular death. The problem of identifying and treating patients with OSA is still actual. …”
Get full text

Character generation and visual quality enhancement in animated films using deep learning by Weiran Cao, Zhongbin Huang

“…Meanwhile, to address the image distortion problem caused by severe pose changes, a repainting image repair module is proposed. …”
Get full text

Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…Robust detection of prostatic cancer is a challenge due to the multitude of variants and their representation in MR images. …”
Get full text

Beyond binary: multi-class skin lesion classification with AlexNet transfer learning-towards enhanced dermatological diagnosis by Abida Noaman, Reyaz Ahmad, Muhammad Farhan Khan, Abdul Salam Mohammed, Muhammad Farooq, Khan Muhammad Adnan

“…Abstract Problem Skin lesions are the major indicator for diagnosing different skin diseases, which are caused by the abnormal growth of skin cells. …”
Get full text