This study introduces Query Attribute Modeling (QAM), a hybrid framework that
enhances search precision and relevance by decomposing open text queries into
structured metadata tags and semantic elements. QAM addresses traditional
search limitations... read more
We consider the problem in Synthetic Aperture RADAR (SAR) of identifying and
classifying objects located on the ground by means of Convolutional Neural
Networks (CNNs). Specifically, we adopt a single scattering approximation to
classify the shape ... read more
Soil plays a major role in the agricultural system. Soil composition detection can help farmers to take appropriate decision leading to proper crop growth. Soil organic carbon is crucial for many soil activities and ecological characteristics, is at ... read more
Deep neural networks (DNNs) provide a useful computational framework for constructing cognitive models of emotion understanding. This paper provides a focused discussion of the use of DNNs in this context. It begins by defining three key components o... read more
PURPOSE: Breast cancer remains a global public health burden. This study aimed to evaluate the readability of breast cancer articles shared on X (formerly Twitter) during Breast Cancer Awareness Month (October 2024), and it explores the possibility o... read more
Zero-shot learning methods are used to recognize objects of unseen categories. By transferring knowledge from the seen classes to describe the unseen classes, deep learning models can recognize unseen categories. However, relying solely on a small la... read more
Well-being encompasses mental, physical, and social dimensions essential to
personal growth and informed life decisions. As individuals increasingly
consult Large Language Models (LLMs) to understand well-being, a key challenge
emerges: Can LLMs ge... read more
Accurate estimation of intravoxel incoherent motion (IVIM) parameters from
diffusion-weighted MRI remains challenging due to the ill-posed nature of the
inverse problem and high sensitivity to noise, particularly in the perfusion
compartment. In th... read more
With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. However, the incorporation of bias layers introduces additional... read more
The Journal of neuroscience : the official journal of the Society for Neuroscience
Aug 6, 2025
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1: = 17... read more
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