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Data clustering: application and trends
Artificial Intelligence Review, 2022 Clustering has primarily been used as an analytical technique to group unlabeled data for extracting meaningful information. The fact that no clustering algorithm can solve all clustering problems has resulted in the development of several clustering algorithms with diverse applications.
Gbeminiyi John Oyewole +1 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThe rapid expansion of renewable energy sources poses significant challenges in reconciling energy development with competing interests. This underscores the necessity for precise spatial data to facilitate effective balancing, management, or evaluation ...
J. Albert +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source
Archeomatica, 2015 Regium@Lepidi 2200 is an internationalproject designed with the scope to study and virtually reconstruct the Roman city of Regium Lepidi (Reggio Emilia). The final aim is the creation of a new virtual museum and IT room designed within the archaeological
Maurizio Forte
doaj
Keyframe image processing of semantic 3D point clouds based on deep learning
Frontiers in Neurorobotics, 2023 With the rapid development of web technologies and the popularity of smartphones, users are uploading and sharing a large number of images every day. Therefore, it is a very important issue nowadays to enable users to discover exactly the information ...
Junxian Wang +6 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Data Acquisition Applications [PDF]
, 2012 This chapter contains sections titled: A Monolithic 12b+Sign Successive Approximation A/D Converter An Error-Correcting 14b/20 s CMOS A/D Converter Autocalibration cements 16-bit performance A CMOS Programmable Self-Calibrating 13-bit Eight-Channel Data Acquisition Peripheral An 80-MHz 8-bit CMOS D/A Converter A 1 ...
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IET Computer Vision, 2023 Incomplete Multi‐View Clustering aims to enhance clustering performance by using data from multiple modalities. Despite the fact that several approaches for studying this issue have been proposed, the following drawbacks still persist: (1) It is ...
Jiatai Wang +4 more
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Classification of Big Data with Application to Imaging Genetics
, 2016 Big data applications, such as medical imaging and genetics, typically generate datasets that consist of few observations n on many more variables p, a scenario that we denote as p>>n.
Palsson, Frosti +3 more
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