Research aimed at understanding the lived experiences of ALHIV has shed light on the various biopsychosocial challenges face, including delayed disclosure, stigma, dysfunctional families, community violence, substance use, poverty, gender inequality and bullying, to name but a few [4,5,6,7]. Their...
However, this task is challenging due to the vast amount of biomedical literature and the complexity of NLP. They employed two DL approaches to overcome these challenges: a CNN and an LSTM network. These models were trained on a dataset of annotated sentences that mention protein–ligand ...
A method employing deep convolutional neural networks is presented in [24] to overcome weaknesses in accuracy and efficiency for urban planning and land management. In [25], a highly novel joint deep learning framework, which combines a multilayer perceptron and a convolutional neural network, is ...
According to the second hypothesis, discriminant analysis shows the relevance of indicators related to mental health (“felt unhappy/depressed”, “not overcome problems” “lost confidence”), over the physical ones (“health problems”, “bodily aches and pains”). As is expected, gender is als...
Additionally, women are more likely than men to be misidentified [7]. Although deep learning-based algorithms have reached great performance, large-scale annotated data are difficult to obtain, and the enormous parameters make model implementation in embedded systems problematic. To overcome this, a ...
In hybrid recommendation, more than one method is combined in order to overcome the limitations of individual approaches and improve the RS performance [10]. HR is closely related to the field of ensemble analysis, in which the power of multiple types of machine learning algorithms is combined ...