Results 61 to 70 of about 24,706,792 (258)

Binary Relation Database BIRD: Issues of Representation and Implementation [PDF]

, 1989
This thesis presents a study of two issues, integrity and homogeneity of information representation, within the area of databases. Treatments of these issues were studied within the standard and semantic database models, leading to the proposal of a new ...
Piercy, Richard Michael
core  

Tree Type Classification from ALS Data: A Comparative Analysis of 1D, 2D, and 3D Representations Using ML and DL Models

Remote Sensing
Accurate classification of individual tree types is a key component in forest inventory, biodiversity monitoring, and ecological modeling. This study evaluates and compares multiple Machine Learning (ML) and Deep Learning (DL) approaches for tree type ...
Sead Mustafić, Mathias Schardt, Roland Perko   +2 more
doaj   +1 more source

Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection

BioData Mining, 2021
Background The amount of available and potentially significant data describing study subjects is ever growing with the introduction and integration of different registries and data banks.
Inese Polaka, Danute Razuka-Ebela, Jin Young Park, Marcis Leja   +3 more
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

Data representation and attention-aided neural networks for object classification and segmentation

, 2022
Kambhamettu, ChandraThe success of Convolutional Neural Networks can be primarily attributed to considering the underlying grid representation of images and the local neighborhoods around pixels. Another critical factor for their success is to implicitly
Singh, Vinit Veerendraveer
core   +1 more source

Data Capsule: Representation of Heterogeneous Data in Cloud-Edge Computing

IEEE Access, 2019
Nowadays, robots (including non-humanoid ones, like self-driving cars) are part of the most promising technologies, and they rise various computing requirements. Some of those requirements came from the fact that the robots are involved in highly dynamic
Ion-Dorinel Filip, Andrei Vlad Postoaca, Radu-Dumitru Stochitoiu, Darius-Florentin Neatu, Catalin Negru, Florin Pop   +5 more
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation

, 2022
Multiple graph and semi-supervision techniques have been successfully introduced into the nonnegative matrix factorization (NMF) model for taking full advantage of the manifold structure and priori information of data to capture excellent low-dimensional
Yi Wang, Wang, Yi, Zhao, Xuezhuan, Lingling Li, Zhang, Ji, Di, Jinhong, Kexin Zhang, Jinhong Di, Xuezhuan Zhao, Zhang, Kexin, Ji Zhang, Li, Lingling   +11 more
core   +1 more source

Static Malware Analysis Using Low-Parameter Machine Learning Models

Computers
Recent advancements in cybersecurity threats and malware have brought into question the safety of modern software and computer systems. As a direct result of this, artificial intelligence-based solutions have been on the rise.
Ryan Baker del Aguila, Carlos Daniel Contreras Pérez, Alejandra Guadalupe Silva-Trujillo, Juan C. Cuevas-Tello, Jose Nunez-Varela   +4 more
doaj   +1 more source

Visual Systems for Interactive Exploration and Mining of Large-Scale Neuroimaging Data Archives

Frontiers in Neuroinformatics, 2012
While technological advancements in neuroimaging scanner engineering have improved the efficiency of data acquisition, electronic data capture methods will likewise significantly expedite the population of large-scale neuroimaging databases. As they do,
Ian eBowman, Shantanu H Joshi, John eVan Horn   +2 more
doaj   +1 more source