Results 41 to 50 of about 12,320 (267)

Classification of Hull Blocks of Ships Using CNN with Multi-View Image Set from 3D CAD Data

open access: yesJournal of Marine Science and Engineering, 2023
In order to proceed with shipbuilding scheduling involving hundreds of hull blocks of ships, it is important to mark the locations of the hull blocks with the correct block identification number.
Haemyung Chon, Daekyun Oh, Jackyou Noh
doaj   +1 more source

Chaotic Binarization Schemes for Solving Combinatorial Optimization Problems Using Continuous Metaheuristics

open access: yesMathematics
Chaotic maps are sources of randomness formed by a set of rules and chaotic variables. They have been incorporated into metaheuristics because they improve the balance of exploration and exploitation, and with this, they allow one to obtain better ...
Felipe Cisternas-Caneo   +5 more
doaj   +1 more source

SEARCH AUTOMATION OF BINARIZATION OPTIMUM LEVEL FOR SYNTHESIZED HOLOGRAMS [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2017
The paper considers the features of synthesized holograms suitable for practical use. It is established that binary holograms are the first of all suitable ones for successful application in practice.
Oleg V. Nikanorov, Denis S. Smorodinov
doaj   +1 more source

A Comprehensive Review on Document Image Binarization

open access: yesJournal of Imaging
In today’s digital age, the conversion of hardcopy documents into digital formats is widespread. This process involves electronically scanning and storing large volumes of documents.
Bilal Bataineh   +6 more
doaj   +1 more source

Coal sample image processing and fracture morphological representation based on CT scanning

open access: yesMeikuang Anquan, 2022
Using industrial CT scanning equipment, sample coring and microscopic scanning analysis of high quality anthracite in Zhaogu No.1 Mine were carried out. The original image is denoised, enhanced, and binarized by image processing technology.
LI Xiaoer, WANG Peng, JIN Xiangfei, CHEN Xinming, ZHANG Jiangling
doaj   +1 more source

Bimodal-Distributed Binarized Neural Networks

open access: yesMathematics, 2022
Binary neural networks (BNNs) are an extremely promising method for reducing deep neural networks’ complexity and power consumption significantly. Binarization techniques, however, suffer from ineligible performance degradation compared to their full ...
Tal Rozen   +4 more
doaj   +1 more source

Distinct Microstructural Characteristic Lengths Defining Notch Fatigue Crack Initiation and Propagation, and Defect Tolerance in Advanced Steels

open access: yesAdvanced Engineering Materials, EarlyView.
Schematic representation of modes of microcrack nucleation, growth and temporary arrestment at different boundaries, with the criteria for crack propagation in three scenarios: (1) large notch, (2) defect/small sharp notch, and (3) long crack. This work revisits and integrates results on the fatigue behavior of advanced bainitic steels (in particular ...
Lucia Morales‐Rivas
wiley   +1 more source

Pruning as a Binarization Technique

open access: yes2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Convolutional neural networks (CNNs) can be quantized to reduce the bit-width of their weights and activations. Pruning is another compression technique, where entire structures are removed from a CNN’s computation graph. Multi-bit networks (MBNs) encode the operands (weights and activations) of the convolution into multiple binary bases, where the bit-
Lukas Frickenstein   +9 more
openaire   +2 more sources

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

open access: yesAdvanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz   +4 more
wiley   +1 more source

RSB: Robust Successive Binarization for Change Detection in Bitemporal Hyperspectral Images

open access: yesAlgorithms, 2022
The Earth’s observation programs, through the acquisition of remotely sensed hyperspectral images, aim at detecting and monitoring any relevant surface change due to natural or anthropogenic causes.
Antonella Falini
doaj   +1 more source

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