Showing 20 of 337 academic articles
Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Kamil A. Kaczmarek et al. • Frontiers in Artificial Intelligence
(2020)
Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2020.534696
Sabera Hoque, Md. Yasir Arafat, Shuxiang Xu, Ananda Maiti et al. • IEEE Access
(2021)
Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of freedom) pose assumptions are widely discussed and studied in the field. In the 3D object detection process, classifications are centered on the object’...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3114399
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera et al. • IEEE Access
(2020)
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3039858
Amol Bhosle, Deepali Godse, Sandip Thite, Kailas Patil et al. • Data in Brief
(2025)
This data paper provides image dataset that includes 8432 high-quality images of Tamarindus indica [1] (tamarind), categorized into six types: Shelled Healthy Single, Shelled Healthy Multiple, Unshelled Healthy Single, Unshelled Healthy Mul...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2025.111917
Hao Huang, G.T.S. Ho, V. Tang, E.W.H. Chow et al. • Journal of Advanced Research
(2026)
Introduction: Crack damage is a significant issue in tunnel environments, requiring efficient and reliable detection to ensure structural integrity. Many existing solutions are computationally expensive, making them unsuitable for the tight...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jare.2025.11.052
Zoe Moorton, Kamlesh Mistry, Rebecca Strachan, Shanfeng Hu • Journal of Marine Science and Engineering
(2025)
Being able to accurately identify litter in a marine environment is crucial to cleaning up our seas and oceans. Research into object detection techniques to support this identification has been underway for over two decades. However, there ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse13081590
Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal et al. • Journal of Vascular Diseases
(2025)
Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jvd4020019
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
Hong-hui Xu, Xin-qing Wang, Dong Wang, Bao-guo Duan et al. • Defence Technology
(2023)
Detecting highly-overlapped objects in crowded scenes remains a challenging problem, especially for one-stage detector. In this paper, we extricate YOLOv4 from the dilemma in a crowd by fine-tuning its detection scheme, named YOLO-CS. Speci...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dt.2021.10.007
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
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
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...
DOAJ
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24237560
Ji Su Hwang, Seok Gi Kim, Tae Hwan Shin, Yong Eun Jang et al. • Pharmaceutics
(2022)
Cancer is a group of diseases causing abnormal cell growth, altering the genome, and invading or spreading to other parts of the body. Among therapeutic peptide drugs, anticancer peptides (ACPs) have been considered to target and kill cance...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/pharmaceutics14050997
Mecit Kantarcı, Volkan Kızılgöz, Ramazan Terzi, Ahmet Enes Kılıç et al. • Diagnostic and Interventional Radiology
(2025)
PURPOSE: This study aimed to evaluate the effectiveness of artificial intelligence (AI) in diagnosing focal nodular hyperplasia (FNH) of the liver using magnetic resonance imaging (MRI) and compare its performance with that of radiologists....
DOAJ
Open Access (DOAJ)
DOI: 10.4274/dir.2025.243095
Ning Zhang, Enxu Zhang, Fei Li • Applied Sciences
(2023)
Soybean is a type of food crop with economic benefits. Whether they are damaged or not directly affects the survival and nutritional value of soybean plants. In machine learning, unbalanced data represent a major factor affecting machine le...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13116425
Ali Raza, Mohammad Rustom Al Nasar, Essam Said Hanandeh, Raed Abu Zitar et al. • Technologies
(2023)
Kinematic motion detection aims to determine a person’s actions based on activity data. Human kinematic motion detection has many valuable applications in health care, such as health monitoring, preventing obesity, virtual reality, daily li...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/technologies11020055
Jin Mo Ahn, Sangsoo Kim, Kwang-Sung Ahn, Sung-Hoon Cho et al. • BMC Ophthalmology
(2019)
Abstract Background This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and normals. Methods Two hundred and ninety-five images of optic neuropathies, 295 images...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12886-019-1184-0
salma mostafa ahmed helmy, Salsabil Amin, Abeer mahmoud, El-Sayed El-Horabty • International Journal of Intelligent Computing and Information Sciences
(2026)
The healthcare sector is undergoing rapid transformation driven by advances in artificial intelligence and machine learning, with quantum computing emerging as the next major breakthrough. This paper presents a comparative analysis of class...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/ijicis.2026.442636.1439
Kirill Djebko, Patrick Schurk, Tom Baumann, Frank Puppe et al. • Aerospace
(2025)
Artificial Intelligence (AI) is rapidly transforming engineering fields, from robotics to aerospace, with applications in control systems for UAVs and satellites. This work builds on a previously developed AI attitude controller for the Inn...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/aerospace12121039