Polarimetric SAR Ship Detection Using Context Aggregation Network Enhanced by Local and Edge Component Characteristics by Canbin Hu, Hongyun Chen, Xiaokun Sun, Fei Ma

“…The traditional constant false alarm rate (CFAR) detectors face sea clutter modeling and parameter estimation problems in ship detection, which is difficult to adapt to the complex background. …”
Get full text

Medical Image Retrieval Based on Ensemble Learning using Convolutional Neural Networks and Vision Transformers by Ahmed Yahya, Dalya Khaled, Waleed Al-Azzawi, Tawfeeq Alghazali, H. Sabah Jabr, R. Madhat Abdulla, M. Kadhim Abbas Al-Maeeni, N. Hussin Alwan, S. Saad Najeeb, Kh. T. Falih

“…The rapid increase in the number of medical image repositories nowadays has led to problems in managing and retrieving medical visual data. …”
Get full text

Edge-Enhanced GCIFFNet: A Multiclass Semantic Segmentation Network Based on Edge Enhancement and Multiscale Attention Mechanism by Long Chen, Zhiyuan Qu, Yao Zhang, Jingyang Liu, Ruwen Wang, Dezheng Zhang

“…Semantic segmentation, as a common task in RSIs processing, confronts numerous challenges, including inaccurate classification, fuzzy boundaries, and other problems. This article proposes a novel semantic segmentation network known as the edge-enhanced global contextual information guided feature fusion network to address these challenges. …”
Get full text

Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion by Anjali Patel, Deepa Gupta, E. A. Gopalakrishnan, Divya Sasidharan, V. Sowmya, Mohammed Zakariah, Abdulaziz S. Almazyad

“…Then, we use the proposed IFSM to extract the features of base subimages and define two fusion rules to fuse the base subimages and detailed subimages. …”
Get full text

Toward Better Accuracy-Efficiency Tradeoffs for Oriented SAR Ship Object Detection by Moran Ju, Buniu Niu, Mulin Li, Tengkai Mao, Si-nian Jin

“…Meanwhile, we design an oriented multiscale attention to alleviate the problem of sampling a large amount of background due to offset learning. …”
Get full text

MEFSR-GAN: A Multi-Exposure Feedback and Super-Resolution Multitask Network via Generative Adversarial Networks by Sibo Yu, Kun Wu, Guang Zhang, Wanhong Yan, Xiaodong Wang, Chen Tao

“…Nonetheless, these two problems are often researched in separate directions. …”
Get full text

A Complex Background SAR Ship Target Detection Method Based on Fusion Tensor and Cross-Domain Adversarial Learning by Haopeng Chan, Xiaolan Qiu, Xin Gao, Dongdong Lu

“…The method is designed to address the cross-domain detection problem of SAR ships with large differences between the training and test sets. …”
Get full text

EHTracker: Toward Fine-Grained Localization for Satellite Video Target Tracking by Jianwei Yang, Yuhan Liu, Yanxing Liu, Ziming Wang, Jiawei Li, Guangyao Zhou, Wenzhi Wang, Yuxin Hu

“…Second, to enable the regression branch to determine the location of feature-poor small targets more accurately, we introduce a gradual regression strategy (GRS). …”
Get full text

Liability of legal entities under public law under the immunity of the foreign state that created them by Yu. M. Zhornokui

“…Even if the state continues to refer to absolute immunity, it will not solve the urgent problems, since most states have already abandoned this theory and their courts consider cases accordingly. …”
Get full text

Intrusion Detection Using Hybrid Pearson Correlation and GS-PSO Optimized Random Forest Technique for RPL-Based IoT by Wei Yang, Xinlong Wang, Zhiming Zhang, Shaolong Chen, Chengqi Hou, Siwei Luo

“…First, a novel routing attacks dataset that covers four RPL routing attack types is constructed through simulation on the Cooja IoT platform. And we develop feature extraction algorithms for dataset to extract 24 features implementing in IDS model training. …”
Get full text

Striking the Balance: Evaluating Content Quality and Reward Dynamics in Blockchain Online Social Media by Davide Mancino, Barbara Guidi, Andrea Michienzi, Marco Viviani

“…Various forms of decentralized solutions for social media development have been proposed in the last years to address some of the open problems of centralized ones, which include security issues, micro-targeting, opinion polarization, and various forms of information pollution. …”
Get full text

Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution by Jialu Sui, Xianping Ma, Xiaokang Zhang, Man-On Pun, Hao Wu

“…In addition, a residual feature fusion strategy establishes information exchange between the two decoders at multiple levels. …”
Get full text

Legal regulation of counteraction to domestic violence in Russia and Germany: comparative analysis by T. V. Prikhodko

“…The comparative study aims to identify the reasons for the draft’s unviability in Russian Federation, in particular, and to search for legislative opportunities to solve the domestic crime’s problems in Russia, in general.Methodology. The article is based on the comparative legal method. …”
Get full text

A deep learning approach for heart disease detection using a modified multiclass attention mechanism with BiLSTM by Umesh Kumar Lilhore, Sarita Simaiya, Monish Khan, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi

“…With an emphasis on the informative data, M2AM can improve feature representation and well-cure the problems of mis-classification, overlapped features, and fragility against noise. …”
Get full text

KANDiff: Kolmogorov–Arnold Network and Diffusion Model-Based Network for Hyperspectral and Multispectral Image Fusion by Wei Li, Lu Li, Man Peng, Ran Tao

“…Convolutional Neural Networks (CNNs) effectively extract local features through their convolutional layers and achieve noise suppression via layer-by-layer feature representation. …”
Get full text

The Application of Entropy in Motor Imagery Paradigms of Brain–Computer Interfaces by Chengzhen Wu, Bo Yao, Xin Zhang, Ting Li, Jinhai Wang, Jiangbo Pu

“…<b>Conclusions:</b> Future research should delve into the effects of various entropy features on specific problems to clarify their application scenarios. …”
Get full text

Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…In this paper, an underwater target detection model based on YOLOv8 (SPSM-YOLOv8) is proposed. It solves the problems of high computational complexities, slow detection speeds and low accuracies. …”
Get full text

A Fault Diagnosis Method for Oil Well Electrical Power Diagrams Based on Multidimensional Clustering Performance Evaluation by Xingyu Liu, Xin Meng, Ze Hu, Hancong Duan, Min Wang, Yaping Chen

“…Compared to traditional methods, we introduce fourteen new features of the electrical parameters, encompassing multidimensional analyses in the time domain, frequency domain, and time-frequency domain, significantly enhancing the richness and accuracy of feature extraction. …”
Get full text

Burnout Aspects Among Health Care Managers by P. S. Tuillet, T. L. Savinova, R. A. Khalfin, V. V. Madyanova, A. S. Stolkova

“…Health care managers face high requirements for professional level and stress-resistance, which can lead to problems in the emotional sphere. The data about burnout prevalence and its determinants among health care managers is contradictory that demands further studying.Objective. …”
Get full text

DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling by Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li

“…Additionally, in light of the problems of spatial feature information loss and augmented memory access during the 1 × 1 convolutional channel compression phase, this study further puts forward a dynamic channel sampling approach, which markedly elevates the accuracy of tumor subregion segmentation. …”
Get full text