Latest AI and machine learning research in adhd/add for healthcare professionals.
The current proliferation of mobile robots spans ecological monitoring, warehouse management and ext...
Crabs are adept at traversing natural terrains that are challenging for mobile robots. Curved dactyl...
The timing of individual neuronal spikes is essential for biological brains to make fast responses t...
Convolutional Neural Networks (CNN) have gained popularity as the de-facto model for any computer vi...
This work presents an ECG classifier for variable leads as a contribution to the Computing in Cardio...
The ability to monitor mental effort during a task using a wearable sensor may improve productivity ...
Most existing studies on computational modeling of neural plasticity have focused on synaptic plasti...
Automatic liver tumor segmentation could offer assistance to radiologists in liver tumor diagnosis, ...
Image-based methods for species identification offer cost-efficient solutions for biomonitoring. Thi...
In this paper, a CNN model for color element data analysis of the urban spatial environment is const...
Biomedical Relation Extraction (RE) systems identify and classify relations between biomedical entit...
A feedforward-designed convolutional neural network (FF-CNN) is an interpretable neural network with...
In order to alleviate the "difficulty in seeing a doctor" for the masses, continuously optimize the ...
Deciding whether to forgo a good choice in favour of exploring a potentially more rewarding alternat...
COVID-19 which was announced as a pandemic on 11 March 2020, is still infecting millions to date as ...
Ultrasound is a green technology for intensifying enzymatic reactions. In this study, an ultrasonic ...
Image recognition has long been one of the research hotspots in computer vision tasks. The developme...
Falls pose a great danger to social development, especially to the elderly population. When a fall o...
As a single-layer feedforward network (SLFN), extreme learning machine (ELM) has been successfully a...
The spatial layout and optimization of social facilities for sports are related to many factors such...
The segmentation of magnetic resonance (MR) images is a crucial task for creating pseudo computed to...