Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Martin Längkvist"'
Publikováno v:
Applied Computing and Geosciences, Vol 21, Iss , Pp 100153- (2024)
We explore an attenuation and shape-based identification of euhedral pyrites in high-resolution X-ray Computed Tomography (XCT) data using deep neural networks. To deal with the scarcity of annotated data we generate a complementary training set of s
Externí odkaz:
https://doaj.org/article/dad60f1ed1034cf1b765262bce893ba6
Publikováno v:
Biology, Vol 12, Iss 5, p 692 (2023)
Zinc (Zn) is an essential element that influences many cellular functions. Depending on bioavailability, Zn can cause both deficiency and toxicity. Zn bioavailability is influenced by water hardness. Therefore, water quality analysis for health-risk
Externí odkaz:
https://doaj.org/article/219fd075fc39452ba96f592a372965fb
Publikováno v:
Applied Artificial Intelligence, Vol 34, Iss 10, Pp 691-709 (2020)
Proper mapping and classification of Forest cover types are integral in understanding the processes governing the interaction mechanism of the surface with the atmosphere. In the presence of massive satellite and aerial measurements, a proper manual
Externí odkaz:
https://doaj.org/article/b5c85033312e45ef820af459240ec0c9
Publikováno v:
Sensors, Vol 13, Iss 2, Pp 1578-1592 (2013)
This paper investigates a rapid and accurate detection system for spoilage in meat. We use unsupervised feature learning techniques (stacked restricted Boltzmann machines and auto-encoders) that consider only the transient response from undoped zinc
Externí odkaz:
https://doaj.org/article/9964d84ad37d4c70a1c3a420f892764e
Publikováno v:
Sensors, Vol 17, Iss 11, p 2545 (2017)
This paper presents a framework in which satellite images are classified and augmented with additional semantic information to enable queries about what can be found on the map at a particular location, but also about paths that can be taken. This is
Externí odkaz:
https://doaj.org/article/8ea7d95acdee43959cc6071b80a52da5
Publikováno v:
Remote Sensing, Vol 8, Iss 4, p 329 (2016)
The availability of high-resolution remote sensing (HRRS) data has opened up the possibility for new interesting applications, such as per-pixel classification of individual objects in greater detail. This paper shows how a convolutional neural netwo
Externí odkaz:
https://doaj.org/article/2bbb374a3ba74f30b12260a059f67114
Publikováno v:
2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed28ae49b8a625820feba5af270ab6ec
https://doi.org/10.1109/icstw58534.2023.00066
https://doi.org/10.1109/icstw58534.2023.00066
Publikováno v:
Open Journal Of Semantic Web
Open Journal Of Semantic Web, Research Online Publishing (RonPub), 2019, 10 (5), pp.863-880. ⟨10.3233/SW-190362⟩
Open Journal Of Semantic Web, Research Online Publishing (RonPub), 2019, 10 (5), pp.863-880. ⟨10.3233/SW-190362⟩
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm. In this paper, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::608e89f3e5497ed547b7b8db05c6fedd
https://hal.archives-ouvertes.fr/hal-02510007
https://hal.archives-ouvertes.fr/hal-02510007
Publikováno v:
Computers in biology and medicine. 97
Computed tomography (CT) is the method of choice for diagnosing ureteral stones - kidney stones that obstruct the ureter. The purpose of this study is to develop a computer aided detection (CAD) algorithm for identifying a ureteral stone in thin slic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42cde2d94f39fecb99bef7ed4ea5fb4f
https://pubmed.ncbi.nlm.nih.gov/29730498
https://pubmed.ncbi.nlm.nih.gov/29730498
Publikováno v:
Sensors; Volume 17; Issue 11; Pages: 2545
This paper presents a framework in which satellite images are classified and augmented with additional semantic information to enable queries about what can be found on the map at a particular location, but also about paths that can be taken. This is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::407b47b1fe420f1b957eebaf530a7f1c