Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Keshav Thapa"'
Autor:
Keshav Thapa, James J Kadiri, Karla Saukkonen, Iida Pennanen, Bishwa Ghimire, Minying Cai, Eriika Savontaus, Petteri Rinne
Publikováno v:
eLife, Vol 12 (2023)
Melanocortin 1 receptor (MC1-R) is widely expressed in melanocytes and leukocytes and is thus strongly implicated in the regulation of skin pigmentation and inflammation. MC1-R has also been found in the rat and human liver, but its functional role h
Externí odkaz:
https://doaj.org/article/d5bf66d72edc4ccc9a02262f87b55277
Publikováno v:
Sensors, Vol 23, Iss 2, p 683 (2023)
The study of human activity recognition concentrates on classifying human activities and the inference of human behavior using modern sensing technology. However, the issue of domain adaptation for inertial sensing-based human activity recognition (H
Externí odkaz:
https://doaj.org/article/faecf03b2b8a4bd484afa2b027c97812
Publikováno v:
Frontiers in Immunology, Vol 12 (2021)
Melanocortin receptor 1 (MC1-R) is expressed in leukocytes, where it mediates anti-inflammatory actions. We have previously observed that global deficiency of MC1-R signaling perturbs cholesterol homeostasis, increases arterial leukocyte accumulation
Externí odkaz:
https://doaj.org/article/e5f3cf79c17b496eb2af18087261fa12
Publikováno v:
Sensors, Vol 22, Iss 23, p 9121 (2022)
The emergence of advanced machine learning or deep learning techniques such as autoencoders and generative adversarial networks, can generate images known as deepfakes, which astonishingly resemble the realistic images. These deepfake images are hard
Externí odkaz:
https://doaj.org/article/9c141cde747d4bc99ce37662c183e412
Publikováno v:
Sensors, Vol 22, Iss 13, p 4755 (2022)
The training of Human Activity Recognition (HAR) models requires a substantial amount of labeled data. Unfortunately, despite being trained on enormous datasets, most current models have poor performance rates when evaluated against anonymous data fr
Externí odkaz:
https://doaj.org/article/5adb89c1b82749409eea70525ee43731
Publikováno v:
Sensors, Vol 22, Iss 3, p 728 (2022)
Epilepsy is a complex neurological condition that affects a large number of people worldwide. Electroencephalography (EEG) measures the electrical activity of the brain and is widely used in epilepsy diagnosis, but it usually requires manual inspecti
Externí odkaz:
https://doaj.org/article/e53c3b3da89b4438ae02fd17a3054a15
Publikováno v:
Sensors, Vol 21, Iss 19, p 6682 (2021)
R peak detection is crucial in electrocardiogram (ECG) signal analysis to detect and diagnose cardiovascular diseases (CVDs). Herein, the dynamic mode selected energy (DMSE) and adaptive window sizing (AWS) algorithm are proposed for detecting R peak
Externí odkaz:
https://doaj.org/article/2f492bd09f494c01a8dababf1602140d
Publikováno v:
Sensors, Vol 20, Iss 20, p 5770 (2020)
Human activity recognition has become an important research topic within the field of pervasive computing, ambient assistive living (AAL), robotics, health-care monitoring, and many more. Techniques for recognizing simple and single activities are ty
Externí odkaz:
https://doaj.org/article/079dc21cba424b02b39bb278a7f1ba16
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
Recognition of human activities is getting into the limelight among researchers in the field of pervasive computing, ambient intelligence, robotic, and monitoring such as assistive living, elderly care, and health care. Many platforms, models, and al
Externí odkaz:
https://doaj.org/article/cece374076884938899211fd972e3b57
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 12 (2016)
Activities of Daily Livings (ADLs) refer to the activities that are carried out by an individual for everyday living. Recognition of ADLs is key element for building intelligent and pervasive environments. We propose a two-layer HMM to build a ADLs r
Externí odkaz:
https://doaj.org/article/b8c5412f295549b8a92e70f810044fd8