Latest AI and machine learning research in adhd/add for healthcare professionals.
Neuro-developmental disorders are manifested as dysfunctions in cognition, communication, behaviou...
In modern society, Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the common mental dis...
In open data sets of functional magnetic resonance imaging (fMRI), the heterogeneity of the data i...
The predictions of click through rate (CTR) and conversion rate (CVR) play a crucial role in the s...
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in childre...
Understanding how the brain's complex nonlinear dynamics give rise to adaptive cognition and behav...
Integrating functional magnetic resonance imaging (fMRI) connectivity data with phenotypic textual...
A CORDIC-based configuration for the design of Activation Functions (AF) was previously suggested ...
Hyperspectral image (HSI) unmixing is a challenging research problem that tries to identify the co...
Video editing increasingly demands the ability to incorporate specific real-world instances into e...
DINO and DINOv2 are two model families being widely used to learn representations from unlabeled i...
High-voltage transmission lines are located far from the road, resulting in inconvenient inspectio...
Self Supervised Representation Learning (SSRepL) can capture meaningful and robust representations...
This study presents a narrative review of the use of digital health technologies (DHTs) and artifi...
Dark-field radiography of the human chest has been demonstrated to have promising potential for th...
Effective and reliable control over large language model (LLM) behavior is a significant challenge...
What types of numeric representations emerge in neural systems? What would a satisfying answer to ...
The parsing of sensory information into discrete topographic domains is a fundamental principle of s...
From rodents to humans, animals constantly face a central question: is the reward worth the effort? ...
Precise profiling of epigenomes is essential for better understanding chromatin biology and gene reg...
Cancer arises from oncogenic clones, yet the dynamic mechanisms governing their stepwise evolution t...