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Academic Articles & Research Papers
Showing 20 of 987 academic articles
Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki • Engineering
(2019)
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system i...
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DOI: https://doi.org/10.1016/j.eng.2018.11.030
George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen et al. • Chapman & Hall/CRC eBooks
(2022)
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Visio...
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Open Access
DOI: https://doi.org/10.1201/9781003162810
Joseph Joel Pollak, Arnon Houri-Yafin, Seth J. Salpeter • Frontiers in Public Health
(2017)
Accurate malaria diagnosis is critical to prevent malaria fatalities, curb overuse of antimalarial drugs, and promote appropriate management of other causes of fever. While several diagnostic tests exist, the need for a rapid and highly acc...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2017.00219
Bayram B., Leventi N., Vodenicharova A., Lamprianidou A. et al. • Acta Medica Bulgarica
(2026)
Artificial intelligence (AI) is reshaping healthcare by enhancing diagnostic precision, treatment personalization, and overall patient care. By leveraging technologies such as machine learning, deep learning, natural language processing, an...
DOAJ
Open Access (DOAJ)
DOI: 10.2478/amb-2026-0050
Nikita Andriyanov • Mathematics
(2022)
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10214021
Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science
(2020)
During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...
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DOI: https://doi.org/10.1016/j.procs.2020.03.355
Haijie Ren, Weiqiang Wang, Wentao Tang, Rui Zhang • Physical Review Research
(2024)
Topological defects play a key role in the structures and dynamics of liquid crystals and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method...
DOAJ
Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.6.013259
Alireza Haji Fathaliyan, Xiaoyu Wang, Veronica J. Santos • Frontiers in Robotics and AI
(2018)
Human–robot collaboration could be advanced by facilitating the intuitive, gaze-based control of robots, and enabling robots to recognize human actions, infer human intent, and plan actions that support human goals. Traditionally, gaze trac...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2018.00025
Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu • IEEE Access
(2020)
In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited rese...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.2976045
Shuoye Chen, Rei Shiina, Kazushi Nakai, Tatsuya Awano et al. • Journal of Wood Science
(2023)
Abstract To predict the mechanical properties of wood in the transverse direction, this study used machine learning to extract the anatomical features of wood from cross-sectional stereograms. Specimens with different orientations of the ra...
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Open Access (DOAJ)
DOI: 10.1186/s10086-023-02096-z
Victor Wiley, Thomas Lucas • International Journal of Artificial Intelligence Research
(2018)
Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracte...
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DOI: https://doi.org/10.29099/ijair.v2i1.42
Sanjay Goswami, Kshama D. Dhobale, Ravindra D. Wavhale, Barnali Goswami et al. • Applied AI Letters
(2022)
Abstract The field of cancer nanomedicine has made significant progress, but its clinical translation is impeded by many challenges, such as the difficulty in analyzing intracellular anticancer drug release by the nanocarriers due to the la...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ail2.50
Om Khare, Sunil Mane, Harshmohan Kulkarni, Ninad Barve • Discover Artificial Intelligence
(2024)
Abstract Plant diseases significantly threaten global agriculture, impacting crop yield and food security. Nearly 30% of the crop yield is lost due to plant diseases. Efficient identification and classification of plant diseases through com...
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Open Access (DOAJ)
DOI: 10.1007/s44163-024-00150-3
Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han et al. • Artificial Intelligence Review
(2024)
Abstract In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of dee...
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DOI: https://doi.org/10.1007/s10462-024-10721-6
Robert Sorschag • Future Internet
(2012)
In this work, we address the use of object recognition techniques to annotate what is shown where in online video collections. These annotations are suitable to retrieve specific video scenes for object related text queries which is not pos...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi4010179
Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger • Foundations and Trends® in Computer Graphics and Vision
(2020)
Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the fiel...
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Open Access
DOI: https://doi.org/10.1561/0600000079
Simon J. D. Prince • Cambridge University Press eBooks
(2012)
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the worl...
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DOI: https://doi.org/10.1017/cbo9780511996504
Mohaiminul Islam, Guorong Chen, Shangzhu Jin • American Journal of Neural Networks and Applications
(2019)
Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than an exact replica of how the brain actually functions. Neural networks have been shown to be very promising systems in ...
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DOI: https://doi.org/10.11648/j.ajnna.20190501.12
Holger Schwenk, Yoshua Bengio • Neural Computation
(2000)
Boosting is a general method for improving the performance of learning algorithms. A recently proposed boosting algorithm, AdaBoost, has been applied with great success to several benchmark machine learning problems using mainly decision tr...
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DOI: https://doi.org/10.1162/089976600300015178
John Hancock, Taghi M. Khoshgoftaar • Journal Of Big Data
(2020)
Abstract This survey investigates current techniques for representing qualitative data for use as input to neural networks. Techniques for using qualitative data in neural networks are well known. However, researchers continue to discover n...
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DOI: https://doi.org/10.1186/s40537-020-00305-w