Although intracranial hemorrhage in moyamoya disease can occur repeatedly, predicting
the disease is difficult. Deep learning algorithms developed in recent years provide a new …

Adaptive learning rate algorithms such as RMSProp are widely used for training deep neural
networks. RMSProp offers efficient training since it uses first order gradients to approximate …

In this paper, we describe about the wireless sensor networks (WSN) in which are used to
monitor the physical conditions and co-operatively send the messages of the sensor to the …

Biosensing through bodily fluids (especially through blood) is gaining attention due to their
preciseness and broad range of detection. Various point-of-care diagnostic methods based …

One of the main focus in federated learning (FL) is the communication efficiency since a
large number of participating edge devices send their updates to the edge server at each …

Mood disorders caused by chronic stress are mostly difficult to be recognized of by
ourselves. Self-reported inventories, eg, Beck Depression Inventory (BDI) and State-Trait …

This article presents statistical analyses of a mental stress index obtained with a two-
channel portable near-infrared spectroscopy device placed on the forehead of a subject at …

Mental disorders caused by chronic stress are difficult to identify, and colleagues in the work
environment may suddenly report symptoms. Social barriers exist including the financial cost …

Pesquisas em grupos de sujeitos têm contribuído para compreensão da influência do
comportamento coletivo na aprendizagem. A detecção de parâmetros fisiológicos por …

Mental disorder caused by chronic stress is mostly difficult to be aware of by oneself. There
are social barriers including lack of perceived need for mental health services even if the …