Home »
Academic Articles & Research Papers
Showing 20 of 739 academic articles
Hongkun Tian, Tianhai Wang, Yadong Liu, Xi Qiao et al. • Information Processing in Agriculture
(2019)
Computer vision is a field that involves making a machine “see”. This technology uses a camera and computer instead of the human eye to identify, track and measure targets for further image processing. With the development of computer visio...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.inpa.2019.09.006
Jürgen Soom, Isabel Boavida, Renan Leite, Maria João Costa et al. • Ecological Informatics
(2025)
The need for efficient approaches to track and assess fish behavior in rivers impacted by hydropeaking is increasing. Nonetheless, employing an automated camera system for underwater monitoring requires that the algorithms function under hi...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ecoinf.2025.103196
Yuanbin WANG, Yaru GUO, Jia LIU, Xu WANG et al. • Meitan kexue jishu
(2024)
The complex underground environment, filled with a large amount of dust and water vapor, and uneven illumination of artificial light source, leads to problems such as low illumination and loss of detail features in images collected by under...
DOAJ
Open Access (DOAJ)
DOI: 10.12438/cst.2023-1597
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
Xin Shi, Zhengchao Xu, Sunan Ge, Xueqing Zhao et al. • Complex & Intelligent Systems
(2026)
Abstract In computer vision, zero-shot image restoration—a technique enabling degraded image restoration without large-scale paired training data—has emerged as a pivotal technique for scenarios where data is limited or paired training data...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s40747-025-02205-z
Chairina Ulfa, Muhammad Fikry, Hafizh Al Kautsar AIdilof • Journal of Applied Informatics and Computing
(2026)
The rise of violent crimes involving sharp weapons and firearms in public spaces, including educational campuses, demands an automated real-time surveillance system to assist security personnel. This study proposes a web-based weapon detect...
DOAJ
Open Access (DOAJ)
DOI: 10.30871/jaic.v10i4.13454
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...
OPENALEX
Open Access
DOI: https://doi.org/10.1561/0600000079
Minsoo Hong, Yoonsik Choe • Applied Sciences
(2019)
The de-blurring of blurred images is one of the most important image processing methods and it can be used for the preprocessing step in many multimedia and computer vision applications. Recently, de-blurring methods have been performed by ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9112358
Minqi Li, Xiangjian He, Kin‐Man Lam, Kaibing Zhang et al. • IET Image Processing
(2021)
Abstract Face hallucination is a super‐resolution technique specially designed to reconstruct high‐resolution faces from low‐resolution faces. Most state‐of‐the‐art algorithms leverage position‐patch prior knowledge of human faces to better...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12269
Bukola Peter Adedeji • World Electric Vehicle Journal
(2021)
Demand for pure electric vehicles has been found to be increasing over the years. This has necessitated the development of a model that would serve as a predicting machine for manufacturing different types of pure electric vehicles. Direct ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/wevj12040257
Xiaosai Duan, Suihuai Yu, Jianjie Chu, Dengkai Chen et al. • Buildings
(2022)
The assessment of indoor thermal environments is crucial to achieving thermal comfort and energy efficiency. However, the inaccurate evaluation and strong nonlinear variations of thermal comfort parameters limit engineering designs. Therefo...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/buildings12111880
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 ...
OPENALEX
cc-by
DOI: https://doi.org/10.11648/j.ajnna.20190501.12
Frank R. Burden, David Alan Winkler • Methods in molecular biology
(2008)
Bayesian regularized artificial neural networks (BRANNs) are more robust than standard back-propagation nets and can reduce or eliminate the need for lengthy cross-validation. Bayesian regularization is a mathematical process that converts ...
OPENALEX
DOI: https://doi.org/10.1007/978-1-60327-101-1_3
Itay Hubara, Daniel Soudry, Yaniv, Ran El • arXiv (Cornell University)
(2016)
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time and when computing the parameters' gradient at train-time. We conduct two sets of experiments, each based on a...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1602.02505
Kevin M. Swingler (1996)
Techniques for building neural networks: introduction what are neural networks? how does neural computing differ from traditional programming? how are neural networks built? how do neural networks learn? what do I need to build an MLP? the ...
OPENALEX
Jake Ryan, Meng-Jang Lin, Risto P Miikkulainen (1997)
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is through monitoring unusual user activity. Methods of intrusio...
OPENALEX
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...
OPENALEX
cc-by
DOI: https://doi.org/10.1186/s40537-020-00305-w
XIONG Zhongmin, ZENG Qi, LU Peng, WANG Zhenhua, ZHENG Zongsheng • Jisuanji gongcheng
(2023)
Logical reasoning is the ability to perceive patterns and connections between visual elements. Endowing computers with human-like reasoning ability is a critical area of research；state-of-the-art deep neural networks have achieved superhuma...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0064591
Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances
(2026)
Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/5.0332993
Andrej Krenker, Janez Bešter, Andrej Kos • InTech eBooks
(2011)
An Artificial Neural Network (ANN) is a mathematical model that tries to simulate the structure and functionalities of biological neural networks. Basic building block of every artificial neural network is artificial neuron, that is, a simp...
OPENALEX
cc-by-nc-sa
DOI: https://doi.org/10.5772/15751