Ara
Toplam kayıt 6, listelenen: 1-6
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis
(2016)
Recognition of activities through wearable sensors such as accelerometers is a recent challenge in pervasive and ubiquitous computing. The problem is often considered as a classification task where a set of descriptive ...
Parkinson's Disease Monitoring from Gait Analysis via Foot-Worn Sensors
(2018)
Background: In Parkinson's disease (PD), neuronal loss in the substantia nigra ultimate in dopaminergic denervation of the stiratum is followed by disarraying of the movements' preciseness, automatism, and agility. Hence, ...
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis
(2017)
Remote care and telemonitoring have become essential component of current geriatric medicine. Intelligent use of wireless sensors is a major issue in relevant computational studies to realize these concepts in practice. ...
Information Retrieval in Metal Music Sub Genres
(2017)
Digital music platforms use meta-data based information retrieval systems for offering songs to users for their own taste of music. According to this system, songs that are labeled by other users are compared to songs that ...
On computer-aided prognosis of septic shock from vital signs
(2019)
Sepsis is a life-threatening condition due to the reaction to an infection. With certain changes in circulatory system, sepsis may progress to septic shock if it is left untreated. Therefore, early prognosis of septic shock ...
A deep learning approach for sepsis monitoring via severity score estimation
(2021)
Background and objective: Sepsis occurs in response to an infection in the body and can progress to a fatal stage. Detection and monitoring of sepsis require multi-step analysis, which is time-consuming, costly and requires ...