Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Mia Rizkinia"'
Publikováno v:
IEEE Access, Vol 12, Pp 122313-122327 (2024)
Stress is a mental health problem that is hazardous if not recognized early. A promising approach for noninvasive stress detection involves leveraging camera technology; however, there are notable challenges involved in this method, particularly rega
Externí odkaz:
https://doaj.org/article/e68ac84da9eb4655baffa2882d512157
Publikováno v:
Arabian Journal of Chemistry, Vol 17, Iss 4, Pp 105692- (2024)
Uric acid is a naturally occurring antioxidant that must be maintained in the human body at 1.49–4.46 mM to prevent hyperuricemia, which may lead in the formation of monosodium urate (MSU) and Lesch–Nyhan syndrome. The objective of this research
Externí odkaz:
https://doaj.org/article/989a479e6e8c4f81845df51e35d10bb0
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109823- (2024)
Hemoglobin (Hb), a protein found within red blood cells, is responsible for transporting oxygen and carbon dioxide gasses. A low concentration of Hb indicates the existence of anemia. Traditional invasive Hb examination methods are accurate but have
Externí odkaz:
https://doaj.org/article/11a8fc4a78b64509a12cc46a0ef047f3
Publikováno v:
Computers, Vol 13, Iss 5, p 125 (2024)
Hypertension, often termed “the silent killer”, is associated with cardiovascular risk and requires regular blood pressure (BP) monitoring. However, existing methods are cumbersome and require medical expertise, which is worsened by the need for
Externí odkaz:
https://doaj.org/article/08a87dd6a4614730863547677de40a4d
Publikováno v:
International Journal of Technology, Vol 11, Iss 5, Pp 984-994 (2020)
Cancer is one of the leading causes of death, and the brain is one of the body’s cancer-prone organs. The early detection of brain tumors can reduce cancer risk, which is practically assisted and conducted using scanners such as computed tomog
Externí odkaz:
https://doaj.org/article/43e2ad1114754c4abaa644bc3839fe82
Autor:
Dodi Sudiana, Anugrah Indah Lestari, Indra Riyanto, Mia Rizkinia, Rahmat Arief, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 728 (2023)
Forest and land fires are disasters that greatly impact various sectors. Burned area identification is needed to control forest and land fires. Remote sensing is used as common technology for rapid burned area identification. However, there are not m
Externí odkaz:
https://doaj.org/article/4d4de0b34e5c47aeac81616a72a5626c
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 10006 (2022)
Historically, hand-drawn face sketches have been commonly used by Indonesia’s police force, especially to quickly describe a person’s facial features in searching for fugitives based on eyewitness testimony. Several studies have been performed, a
Externí odkaz:
https://doaj.org/article/b3e8ea8a7304413d83ef43b2f34de582
Currently, medical experts use psychophysiological questionnaires to evaluate human stress levels during counseling or interviews. Typically, biochemical samples use urine, saliva, and blood samples to identify the effects of stress on the human body
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::dd95cf60861b55b9e8bfe504fa8fb827
https://zenodo.org/record/8141349
https://zenodo.org/record/8141349
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1679 (2022)
Flooding in urban areas is counted as a significant disaster that must be correctly mitigated due to the huge amount of affected people, material losses, hampered economic activity, and flood-related diseases. One of the technologies available for di
Externí odkaz:
https://doaj.org/article/e6bd926f3a1242cfb5b999b8ce9fcec1
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3387 (2020)
Anomaly detection is one of the most challenging topics in hyperspectral imaging due to the high spectral resolution of the images and the lack of spatial and spectral information about the anomaly. In this paper, a novel hyperspectral anomaly detect
Externí odkaz:
https://doaj.org/article/9968d64fca7e460dbdb65d9fe3d1d67b