Results 111 to 120 of about 17,103 (274)
Infrared Maritime Small-Target Detection Based on Fusion Gray Gradient Clutter Suppression
The long-distance ship target turns into a small spot in an infrared image, which has the characteristics of small size, weak intensity, limited texture information, and is easily affected by noise.
Wei Wang +2 more
doaj +1 more source
Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
wiley +1 more source
A survey of airborne radar systems for deployment on a High Altitude Powered Platform (HAPP) [PDF]
A survey was conducted to find out the system characteristics of commercially available and unclassified military radars suitable for deployment on a stationary platform.
Choudhury, B. J., Leung, K. C.
core +1 more source
Toxic Entanglements: Asylum and Extraction in the Republic of Nauru
ABSTRACT Recent years have seen a dramatic increase in the outsourcing of asylum processing and resettlement from Global North to South. Many of these containment practices retrace the fault lines of more typically thought‐of colonial extractive regimes. This article draws on long‐term ethnographic research conducted in the Republic of Nauru, the world'
Julia Morris
wiley +1 more source
Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm. [PDF]
Shang S +5 more
europepmc +1 more source
Abstract Monitoring tectonic tremors is crucial for understanding stress release in subduction zones and assessing megathrust earthquake risk. The Hyuga‐nada region, at the western edge of the Nankai Trough, Japan, provides a natural laboratory for investigating links among slow earthquakes, megathrust events, and complex subduction structures.
Kodai Sagae +3 more
wiley +1 more source
This work presents a deep learning framework for sealant inspection in automotive manufacturing, leveraging synthetic data to address the scarcity of real defects. Integrated with state‐of‐the‐art deep learning methods, the approach enhances anomaly detection and localization, demonstrating practical applicability and robustness under real‐world ...
Francesco Manigrasso +3 more
wiley +1 more source
The graphical abstract illustrates a flower classification model relying on the human visual system. The model captures images, simulates visual attention and photometric perception, extracts features of shape and color, and classifies flowers by using an optimized neural network that enhances recognition accuracy by mimicking the human eye's focusing ...
Arpan Singh +2 more
wiley +1 more source
The study uses affine transformation, contrast enhancement, and mosaic masking for image enhancement and introduces the Convolutional NeXt module in YOLOv8 based on masked self‐encoder and response normalization, along with improvements to the convolutional block attention module.
Yu Lei, Zhihao Liang, Jiayun Huang
wiley +1 more source

