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Academic Articles & Research Papers
Showing 20 of 654 academic articles
Zhengwei Wang, Qi She, Tomas Emmanuel Ward • ACM Computing Surveys
(2021)
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where great advances have been made in challenges such as plausible i...
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Open Access
DOI: https://doi.org/10.1145/3439723
Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access
(2023)
LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3298706
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...
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Open Access (DOAJ)
DOI: 10.3390/math10214021
Liu Yuxin • ITM Web of Conferences
(2025)
With the advent of the Transformer, the attention mechanism has been applied to Large Language Model (LLM), evolving from initial single- modal large models to today's multi-modal large models. This has greatly propelled the development of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/itmconf/20257302025
Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences
(2024)
Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...
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Open Access (DOAJ)
DOI: 10.3390/app14219721
Yiannis Aloimonos, Azriel Rosenfeld • Science
(1991)
The field of computer vision is devoted to discovering algorithms, data representations, and computer architectures that embody the principles underlying visual capabilities. This article describes how the field of computer (and robot) visi...
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DOI: https://doi.org/10.1126/science.1891713
Jinzhou Luo, Jiazhao Sun, Xiaoli Hao, Heng Liu et al. • Insects
(2026)
Myzus persicae is the most devastating piercing-sucking pest threatening tobacco production. Precise quantification of infestation severity is a prerequisite for precision pest management, making the integration of visual image analysis hig...
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Open Access (DOAJ)
DOI: 10.3390/insects17030305
Ehtesham Hassan, Yasser Khalil, Imtiaz Ahmad • Journal of Engineering
(2020)
Object detection in real images is a challenging problem in computer vision. Despite several advancements in detection and recognition techniques, robust and accurate localization of interesting objects in images from real-life scenarios re...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2020/7286187
Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan • IEEE Access
(2019)
Recognition of 3D shapes is a fundamental task in computer vision. In recent years, view-based deep learning has emerged as an effective approach for 3D shape recognition. Most existing view-based methods treat the views of an object as an ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2934650
Mengchen Huang, Ruben Fernandez-Beltran, Ginés García-Mateos • Sensors
(2024)
Shadow, a natural phenomenon resulting from the absence of light, plays a pivotal role in agriculture, particularly in processes such as photosynthesis in plants. Despite the availability of generic shadow datasets, many suffer from annotat...
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Open Access (DOAJ)
DOI: 10.3390/s24092737
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
Opeyemi Bamigbade, Mark Scanlon, John Sheppard • IEEE Access
(2025)
Embeddings remain the best way to represent image features, but do not always capture all latent information. This is still a problem in representation learning, and computer vision descriptors struggle with precision and accuracy. Improvin...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3564496
Zhanping Song, Zifan Yang, Runke Huo, Yuwei Zhang • Applied Sciences
(2023)
With the rise of the fourth industrial revolution, traditional methods of analyzing investment have been transformed into intelligent methods under big data and the Internet of Things. This has created a new approach to solving practical en...
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Open Access (DOAJ)
DOI: 10.3390/app13095454
Faisal Mehmood, Shabir Ahmad, Taeg Keun Whangbo • Mathematics
(2023)
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry, agriculture, and healthcare industry. Deep learning has pl...
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Open Access (DOAJ)
DOI: 10.3390/math11061360
Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski • Sensors
(2024)
The emergence of new technologies focusing on “computer vision” has contributed significantly to the assessment of fruit quality. In this study, an innovative approach based on image analysis was used to assess the external quality of fresh...
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Open Access (DOAJ)
DOI: 10.3390/s24237560
Ahatesham Bhuiyan, Eftekhar Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan • Heliyon
(2024)
Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research ha...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e36272
Ajesh Kumar, Toni Kuronen, Bilal Naqvi, Salla Annala et al. • Energy Informatics
(2026)
Abstract Energy Citizenship refers to individuals and communities participating, sometimes begrudgingly, in adopting energy solutions, whether sustainable or not. When enacted positively, it advances the green energy transition. There are s...
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Open Access (DOAJ)
DOI: 10.1186/s42162-026-00691-0
Bernd Jähne, Horst W. Haussecker, Peter Geißler (1999)
Contents of Volume One: Preface. Contributors. B. Jahne, Introduction. Illumination and Image Formation. H. Hausecker, Radiation. H. Hausecker, Interaction of Radiation with Matter. P. Geisler, Geometric and Wave Optics. H. Hausecker, Radio...
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Juhyeon Kim, Emin Orhan, Kijung Yoon, Xaq Pitkow • IEEE Access
(2022)
Neurons in the brain are complex machines with distinct functional compartments that interact nonlinearly. In contrast, neurons in artificial neural networks abstract away this complexity, typically down to a scalar activation function of a...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3178951
Nachimuthu Karunanithi, William J. Grenney, Darrell Whitley, Ken D. Bovee • Journal of Computing in Civil Engineering
(1994)
The surface‐water hydrographs of rivers exhibit large variations due to many natural phenomena. One of the most commonly used approaches for interpolating and extending streamflow records is to fit observed data with an analytic power model...
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DOI: https://doi.org/10.1061/(asce)0887-3801(1994)8:2(201)