Results 1 to 10 of about 29,004,461 (256)

Voxelisation Algorithms and Data Structures: A Review. [PDF]

open access: yesSensors (Basel), 2021
Voxel-based data structures, algorithms, frameworks, and interfaces have been used in computer graphics and many other applications for decades. There is a general necessity to seek adequate digital representations, such as voxels, that would secure ...
Aleksandrov M, Zlatanova S, Heslop DJ.
europepmc   +2 more sources

Structural Damage Identification Based on Convolutional Neural Networks and Improved Hunter–Prey Optimization Algorithm

open access: yesBuildings, 2022
Accurate damage identification is of great significance to maintain timely and prevent structural failure. To accurately and quickly identify the structural damage, a novel two-stage approach based on convolutional neural networks (CNN) and an improved ...
Chunyan Xiang   +6 more
doaj   +1 more source

Fast Hybrid Data Structure for a Large Alphabet K-Mers Indexing for Whole Genome Alignment

open access: yesIEEE Access, 2021
The most common index data structures used by whole genome aligners (WGA) are based on suffix trees (ST), suffix arrays, and FM-indexes. These data structures show good performance results as WGA works with sequences of letters over small alphabets; for ...
Rostislav Hrivnak   +2 more
doaj   +1 more source

A Comparative Study about Data Structures Used for Efficient Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D Polygonal Model Creation

open access: yesRemote Sensing, 2021
In this paper, we investigate the performance of six data structures for managing voxelised full-waveform airborne LiDAR data during 3D polygonal model creation.
Milto Miltiadou   +3 more
doaj   +1 more source

Deep Learning Models for Yoga Pose Monitoring

open access: yesAlgorithms, 2022
Activity recognition is the process of continuously monitoring a person’s activity and movement. Human posture recognition can be utilized to assemble a self-guidance practice framework that permits individuals to accurately learn and rehearse yoga ...
Debabrata Swain   +6 more
doaj   +1 more source

Analyzing and Predicting Verification of Data-Aware Process Models–A Case Study With Spectrum Auctions

open access: yesIEEE Access, 2022
Verification techniques play an essential role in detecting undesirable behaviors in many applications like spectrum auctions. By verifying an auction design, one can detect the least favorable outcomes, e.g., the lowest revenue of an auctioneer. However,
Elaheh Ordoni   +2 more
doaj   +1 more source

Optimal Prefix and Suffix Queries on Texts [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2007
In this paper, we study a restricted version of the position restricted pattern matching problem introduced and studied by Mäkinen and Navarro [Position-Restricted Substring Searching, LATIN 2006].
Maxime Crochemore   +2 more
doaj   +1 more source

THE USE OF DYNAMIC DATA PROCESSING STRUCTURES ON THE EXAMPLE OF LIST TRANSFORMATION TASKS

open access: yesСовременная наука и инновации, 2022
Introduction Information processing is a key operation with information. In this regard, the study mainstreams the issue of choosing the structural organisation of data for the purposes of organising the processing operation.
D. V. Zdor
doaj   +1 more source

A New Approach to Parallel Processing

open access: yesIEEE Access, 2020
The Application Space Architecture (ASA) defines parallel processor design as an adjunct to the Instruction Set Architectures (ISA) defined by Von Neumann for single processors.
William C. Cave   +5 more
doaj   +1 more source

A Scalable Data Structure for Efficient Graph Analytics and In-Place Mutations

open access: yesData, 2023
The graph model enables a broad range of analyses; thus, graph processing (GP) is an invaluable tool in data analytics. At the heart of every GP system lies a concurrent graph data structure that stores the graph. Such a data structure needs to be highly
Soukaina Firmli, Dalila Chiadmi
doaj   +1 more source

Home - About - Disclaimer - Privacy