Buscar recursos académicos

Conventional adversarial perturbations on traffic sign images often induce noticeable color shifts and abnormal contrast compared to natural images, rendering them susceptible to detection, particularly by Vision Transfo...

Infrared dim and small target detection is crucial in fields, such as military reconnaissance and remote sensing. However, due to the extremely small target size, lack of texture, and low signal-to-noise ratio, the direc...

Time series analysis is essential for finance, transportation, energy, healthcare, and climate research. While time-frequency domain representation underpins effective time series modeling, its holistic utilization and i...

Weakly supervised semantic segmentation (WSSS), particularly using image-level labels, has emerged as a pivotal solution to alleviate the burden of costly and labor-intensive pixel-level annotations typically required fo...

Convolutional neural networks (CNNs) and visual Transformers have become the dominant approaches for hyperspectral image (HSI) classification due to their powerful feature representation capabilities. However, CNNs are l...

The validity of research findings critically depends on the selection of software samples. However, Mining Software Repositories studies often rely on outdated datasets and lack systematic, transparent procedures for rep...

We tackle the challenging problem of single-source domain generalization (DG) for medical image segmentation, where we train a network on one domain (e.g., CT) and directly apply it to a different domain (e.g., MR) witho...

Graphene/Silicon (Gr/Si) Schottky photodetector combines the maturity of silicon technology with the excellent optoelectronic properties of graphene, offering advantages such as broad spectral coverage, hig...

This paper investigates the distributed state estimation problem for a class of continuous-time nonlinear systems over sensor networks. The nonlinearities considered are assumed to satisfy the Incremental Quadratic Const...

The design of a bistatic inverse synthetic aperture radar (ISAR) images simulator is described, as a response to the need of databases with classification purposes in bistatic radar scenarios characterized by numerous de...

This systematic review of 79 CubeSat antenna studies reveals a progressive “workflow attrition cascade” (68% $\rightarrow 70$ % $\rightarrow 87$ % $\rightarrow 92$ %) wherein electromagnetic design sophisti...

Industry 4.0 has brought numerous advantages, such as increasing productivity through automation. However, it also presents major cybersecurity issues, such as cyberattacks affecting industrial processes. Federated Learn...

Hand dexterity assessments play a crucial role in informing the rehabilitative care of individuals with upper-limb hemiparesis. However, current assessments often struggle to evaluate the hand’s ability to precise...

Low thermal sensitivity of the optical propagation phase in optical fiber is critical for high-precision fiber systems, including applications such as ultra-low noise lasers, highly sensitive interferometric sensing, and...

After an earthquake, numerous buildings are destroyed, and the frequency of structural collapses increases significantly in regions lacking comprehensive geophysical surveys. Furthermore, the number of deaths increases d...

Precise temporal coordination in crowd simulation—ensuring agents arrive at targets in a specific order or at set intervals—remains a challenge for real-time applications. While existing force-based methods...

Despite achieving high volumetric overlap, pixel-based deep learning segmentation approaches do not ensure true vascular connectivity, leading to fragmentations structurally analogous to Branch Retinal Artery Occlusions....

Solar peer-to-peer (P2P) energy trading is a promising approach that allows prosumers and consumers to exchange energy directly, which reduces dependence on the centralized power grid. However, implementing such a P2P en...

Reliable trajectory similarity estimation underpins applications such as map matching, mobility anomaly detection, and travel behavior analysis. However, traditional distance-based methods are computationally expensive a...

The governance of online rumors during major emergencies is essential for maintaining social stability and ensuring a healthy cyberspace. This study develops a tripartite evolutionary game model involving local governmen...

In modern industrial process monitoring of multivariate time series, the effectiveness of data-driven event detection is often constrained by scarce labels and the dynamic complexity of real-world telemetry. While unsupe...

Current watermarking approaches for LLM-generated text typically embed watermarks during the generation process, using a secret key controlled by the LLM. Although this enables verification of LLM-generated content, it m...

Network Function Virtualization (NFV) offers flexibility but poses a critical challenge in multi-tenant environments: ensuring fairness (resource usage limits) and system security (memory/packet isolation) for each tenan...

"En este trabajo se propone un procedimiento sistematico para sintonizar tanques resonantes LCC a un valor de frecuencia determinado. El uso de tanques resonantes permite aumentar el rendimiento y potencia transmitida en...