Latest AI and machine learning research in bipolar disorder for healthcare professionals.
Hyperspectral microscopy in biology and minerals, unsupervised deep learning neural network denoisin...
Computational material discovery is under intense study owing to its ability to explore the vast spa...
Depression is a global prevalent ailment for possible mental illness or mental disorder globally. Re...
With smart electronic devices delving deeper into our everyday lives, predictive maintenance solutio...
This paper introduces memristors realized by molecular and DNA reactions. Molecular memristors proce...
At present, the global demand for lithium batteries is still in a high growth state, and the traditi...
BACKGROUND: Conventional biochemical parameters may have predictive values for use in clinical ident...
Millions of people worldwide suffer from depression. Assessing, treating, and preventing recurrence ...
In 2022, endoscopic enucleation of the prostate (EEP) is the treatment of choice for benign prostati...
Facial expression is one of the most significant elements which can tell us about the mental state o...
In today's era, social networking platforms are widely used to share emotions. These types of emotio...
We compared the predictive performance of an artificial neural network to traditional pharmacometric...
In this paper, we introduce a new variation of the Convolutional Neural Network Inception block, cal...
The human brain's neural networks are sparsely connected via tunable and probabilistic synapses, whi...
As a common mental disorder, depression is placing an increasing burden on families and society. How...
Nowadays, electric vehicles have gained great popularity due to their performance and efficiency. In...
The intuitionistic fuzzy set (IFS) and bipolar fuzzy set (BFS) are all effective models to describe ...
Alzheimer's disease (AD) is the leading cause of age-related dementia, affecting over 5 million peop...
Open circuit failure mode in insulated-gate bipolar transistors (IGBT) is one of the most common fau...
UNLABELLED: This study analysed the association between income inequality and depression from a mult...
BACKGROUND: Depressive symptoms are associated with adverse clinical outcomes in patients with end-s...