Abstract Modern marine research requires high-precision three-dimensional (3D) underwater data. Underwater environments experience severe visible light attenuation, which leads to inferior imaging compared with air. In contrast, sound waves are less affected underwater; hence side-scan sonar is used for 3D reconstruction. Typically, the shape-from-shading algorithm (SfS) widely reconstruct surface normal or heights from images. However, this approach has challenges because of global...

Ecosystems in winter cities are complex and fragile, experiencing significant changes due to climate variations human construction activities. Previous studies on the assessment of overall ecosystem service value (ESV) ecological risk index (ERI) scarce. In this study, we constructed ESV ERI measurement models using land use data 2000, 2010, 2020 improved per unit area factor method landscape pattern method, respectively, reveal their spatial temporal change characteristics. Geographic...

Background: Prostate cancer is a common malignancy in men, requiring accurate diagnosis and prognosis. The Gleason grading system remains the preferred method of evaluation critical to risk stratification informing treatment strategies. However, analyzing whole-slide image (WSI) significantly challenging due high pixel density, tumor heterogeneity, difficulty acquiring precise annotated data. This study developed weakly supervised multiple instance learning (MIL)-based for prostate pathology...

The data production elements are driving profound transformations in the real economy across objects, methods, and tools, generating significant economic effects such as industrial structure upgrading. This paper aims to reveal impact mechanism of on “three transformations” (high-end, intelligent, green) manufacturing sector, theoretically elucidating intrinsic mechanisms by which influence these transformations. study finds that significantly enhance high-end, green levels China’s industry....

In China, the coverage rate of influenza vaccination among general population is significantly lower than that high-income countries, with only 2.46% vaccinated. Preschool-aged children are particularly susceptible to viruses, yet factors influence parents' willingness vaccinate their not well understood. To address this research gap, we developed a theoretical model grounded in Unified Theory Acceptance and Use Technology (UTAUT), which explores six key influencing parental self-reported...

Abstract To solve the problem of automatic measurement anti-stress cone high voltage cable joints, a algorithm based on 3D point cloud is proposed. Firstly, denoising and coordinate adjustment joint are realized. Then characteristic curve model fitting circle radius indicating structure joints constructed by circles with r andom s ample c onsensus algorithm. After that, discrete points extracted according to characteristics such as fluctuation range for straight line intersection fitted...

Optical remote sensing systems (RSSs) for monitoring vehicle emissions can be installed on any road and provide non-contact on-road measurements, that allow law enforcement departments to monitor of a large number vehicles. Although many studies in different research fields have been performed using RSSs, there has little the automatic recognition high-emitting In general, vehicles low-emitting are classified by fixed emission concentration cut-points, lack strict scientific basis, actual...

Ultrasound volume projection imaging has shown great promise to visualize spine features and diagnose scoliosis thanks its harmlessness, cheapness, efficiency. The key measuring deformity assessing is accurately segment the bone features. In this paper, we propose a novel structure-affinity dual attention-based network (SADANet) for effective segmentation. Global channel attention module spatial criss-cross are combined in parallel manner generate rich global context of images. Meanwhile,...

We examine a private ADMM variant for (strongly) convex objectives which is primal-dual iterative method. Each iteration has user with function used to update the primal variable, masked by Gaussian noise local privacy, without directly adding dual variable. Privacy amplification explores if noises from later iterations can enhance privacy guarantee when releasing final variables after last iteration. Cyffers et al. [ICML 2023] explored proximal variant, where user's entire accessed and...

Insulators are indispensable components for reliable electrical power transmission, and the significance of insulator defect detection lies in safeguarding system operation, mitigating potential hazards, maintaining continuous secure electricity supply. This paper proposes Parallel Attention-MLP (PAM-DETR), a novel approach with highly adaptable encoder compared to other models. The PAM-DETR comprises parallel branches responsible capturing global local features, along channel attention...

Vertical Radial Plume Mapping (VRPM) technique is often used in the measurement of gas emission flux open space. It necessary to use optical remote sensing equipment (ORS) scan multiple points reconstruct concentration field, but fluctuation field environmental conditions and mechanical error system will lead path deviation. Although calibration can be completed by researching positioning central position point according signal strength, search range needs preset, which not balance time cost...

<title>Abstract</title> Ecosystems in winter cities are complex and fragile, experiencing significant changes due to climate variations human construction activities. Assessing the ecological status risk faced by these areas commonly involves using Ecosystem Service Value (ESV) Ecological Risk Index (ERI). However, limited research has combined two measures reveal sptial-temporal trends urban ecosystem conditions. This study utilizes land use data from 2000, 2010, 2020 construct ESV ERI...

Blind image restoration remains a significant challenge in low-level vision tasks. Recently, denoising diffusion models have shown remarkable performance synthesis. Guided models, leveraging the potent generative priors of pre-trained along with differential guidance loss, achieved promising results blind restoration. However, these typically consider data consistency solely spatial domain, often resulting distorted content. In this paper, we propose novel frequency-aware loss that can be...

Online monitoring and fault diagnosis technology can reduce maintenance costs, for improve the operational reliability have great value. With rapid development of new energy technologies, this paper takes wind turbine pitch system as research object. Used supervisory control data acquisition(SCADA)system experimental data, which stored in database.The SCADA dates presence large number similar samples, So eliminate redundant information based on similarity function. Then using method...

Low-dimensional materials with topologically protected edge states have wide applications in spintronic, valleytronic, and optoelectronic nanodevices. Different from the valley-resolved quantum anomalous Hall (VQAH) state spin-polarized (VSQAH), photon-induced topological kagome-lattice nanoribbons (KLNR) can generate both valley without magnetic substrate or Rashba spin-orbit coupling (SOC). Via Floquet theory, we also propose a 0-photon-extraction scheme to obtain effective Hamiltonian...

We propose a new algorithm for efficiently solving the damped Fisher matrix in large-scale scenarios where number of parameters significantly exceeds available samples. This problem is fundamental natural gradient descent and stochastic reconfiguration. Our based on Cholesky decomposition generally applicable. Benchmark results show that faster than existing methods.

Correlation power analysis (CPA) needs neater curve, while curve collected by oscilloscope is unaligned, therefore, the alignment of necessary. The paper propose a method correlation coarse combined with local fine alignment. Power aligned can increase coefficient key point leaking in CPA. Extensive experiments have demonstrated effectiveness this work.

Aiming at the timing deviation of sampling clock in blind synchronization process OFDM system, impact on demodulation signal was first analyzed. For shortcomings existing methods, combined with characteristics MPSK modulation, a algorithm based phase difference proposed. The adopted demodulated signal, considering characteristic that differenced is composed main component and subcomponent, used to identify modulation type, realized separation two. Based this, sub-components were perform...