Results 61 to 70 of about 4,653,669 (338)

Towards Coding For Human And Machine Vision: A Scalable Image Coding Approach [PDF]

open access: yesIEEE International Conference on Multimedia and Expo, 2020
The past decades have witnessed the rapid development of image and video coding techniques in the era of big data. However, the signal fidelity-driven coding pipeline design limits the capability of the existing image/video coding frameworks to fulfill ...
Yueyu Hu   +4 more
semanticscholar   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Understanding How Image Quality Affects Deep Neural Networks

open access: yes, 2016
Image quality is an important practical challenge that is often overlooked in the design of machine vision systems. Commonly, machine vision systems are trained and tested on high quality image datasets, yet in practical applications the input images can
Dodge, Samuel, Karam, Lina
core   +1 more source

Machine Vision for Ripeness Estimation in Viticulture Automation

open access: yesHorticulturae, 2021
Ripeness estimation of fruits and vegetables is a key factor for the optimization of field management and the harvesting of the desired product quality.
Eleni Vrochidou   +5 more
semanticscholar   +1 more source

A Comprehensive Review of Additive Manufacturing for Space Applications: Materials, Advances, Challenges, and Future Directions

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing (AM) transforms space hardware by enabling lightweight, high‐performance, and on‐demand production. This review outlines AM processes—powder bed fusion (PBF), directed energy deposition (DED), binder jetting (BJ), sheet lamination (SL), and material extrusion (ME)—applied to propulsion, satellite structures, and thermal devices ...
Stelios K. Georgantzinos   +8 more
wiley   +1 more source

A Fast, Robust, Automatic Blink Detector [PDF]

open access: yesIranian Journal of Medical Physics, 2014
Introduction “Blink” is defined as closing and opening of the eyes in a small duration of time. In this study, we aimed to introduce a fast, robust, vision-based approach for blink detection. Materials and Methods This approach consists of two steps.
Javad Sayahzadeh   +2 more
doaj   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

open access: yesAdvanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana   +2 more
wiley   +1 more source

FGBNet: A Bio-Subspecies Classification Network with Multi-Level Feature Interaction

open access: yesDiversity
Biodiversity is a foundation for maintaining ecosystem health and stability, while precise species identification is crucial to monitoring and protecting ecosystems.
Yang Yuan   +6 more
doaj   +1 more source

CGHF: A Computational Decision Support System for Glioma Classification Using Hybrid Radiomics- and Stationary Wavelet-Based Features

open access: yesIEEE Access, 2020
Brain tumors are the most prominent neurologically malignant cancers with the highest injury and death rates worldwide. Glioma classification is crucial for the prognosis, assessment of prognostication and the planning of clinical guidelines before ...
Rahul Kumar   +4 more
doaj   +1 more source

An effective explainable food recommendation using deep image clustering and community detection

open access: yesIntelligent Systems with Applications, 2022
In food diet communication domain, images convey important information to capture users' attention beyond the traditional ingredient content, making it crucial to influence user-decision about the relevancy of a given diet. By using a deep learning-based
Mehrdad Rostami   +5 more
doaj   +1 more source

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