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Showing 20 of 788 academic articles
Raza Yunus, Omar Arif, Hammad Afzal, Muhammad Faisal Amjad et al. • IEEE Access
(2019)
There has been a rapid increase in dietary ailments during the last few decades, caused by unhealthy food routine. Mobile-based dietary assessment systems that can record real-time images of the meal and analyze it for nutritional content c...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2018.2879117
Qing Bao, Ya-Gang Wang, Chang Gao, Liangxiao Sha et al. • IEEE Access
(2023)
With the widely used fingerprints to identify criminals, the influence of fingerprint deformation arouses attention in forensic science. To date, many approaches have been proposed to rectify distorted fingerprints. However, the performance...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3344465
Vishwanath C Burkapalli, Priyadarshini C Patil • ICTACT Journal on Image and Video Processing
(2020)
Deep-learning approach has become more popular in the field of image processing. When it is concerned with health issues, there are lots of improvements in the applications of food image classification by deep learning methods. Transfer lea...
DOAJ
Open Access (DOAJ)
DOI: 10.21917/ijivp.2020.0321
Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief
(2021)
This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2021.107478
Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology
(2025)
Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.intonc.2025.06.005
Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine
(2026)
Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41746-026-02849-2
Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications
(2024)
Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...
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DOI: https://doi.org/10.1007/s00521-023-09366-3
Muhammet Damar, Tuncay Küme, İbrahim Yüksel, Ali Emre Çetinkol et al. • Düzce Tıp Fakültesi Dergisi
(2024)
Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods. Material and Methods: In this stu...
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DOI: https://doi.org/10.18678/dtfd.1410276
Gonca Gökçe Menekşe Dalveren, Deepti Mishra • International Conference on Information Communication and Management (ICICM)
(2019)
This study presents a systematic literature review to provide overall view of the application of Software Engineering (SE) in Medical Informatics (MI) field. Articles published from 2010 to 2019 from seven selected databases (Emerald, PubMe...
OPENALEX
DOI: https://doi.org/10.1145/3357419.3357444
Chaewoo Kim, Sang-Min Park, Sanghoon Lee, Deukhee Lee • IEEE Access
(2024)
Magnetic resonance imaging (MRI) provides enhanced soft tissue contrast and high spatial resolution. However, the relationship between intensity values among soft tissues in MRI is inconsistent, even when obtained under the same conditions ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3360272
Gill A. Pratt • The Journal of Economic Perspectives
(2015)
About half a billion years ago, life on earth experienced a short period of very rapid diversification called the “Cambrian Explosion.” Many theories have been proposed for the cause of the Cambrian Explosion, one of the most provocative be...
OPENALEX
DOI: https://doi.org/10.1257/jep.29.3.51
Neng Pan, Ruibin Zhang, Tiankai Yang, Can Cui et al. • IET Cyber-systems and Robotics
(2021)
Abstract In recent years, several progressive studies promote the development of aerial tracking. One of the representative studies is our previous work Fast‐Tracker which is applicable to various challenging tracking scenarios. However, it...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/csy2.12033
Gustavo A. Mesías-Ruiz, Gustavo A. Mesías-Ruiz, María Pérez-Ortiz, José Dorado et al. • Frontiers in Plant Science
(2023)
Crop protection is a key activity for the sustainability and feasibility of agriculture in a current context of climate change, which is causing the destabilization of agricultural practices and an increase in the incidence of current or in...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpls.2023.1143326
• Wiley eBooks
(2023)
Machine learning, deep learning, probabilistic neural networks, blockchain, and other new technologies all demand extremely high processing speeds. A quantum computer is an example of such a system. Quantum computers may be accessed over th...
OPENALEX
DOI: https://doi.org/10.1002/9781394167401
Amna Ikram, Azhar Imran • Informatics in Medicine Unlocked
(2026)
Diabetic Retinopathy (DR) is a major complication of diabetes that can result in irreversible vision loss if not detected early. Manual ophthalmologic screening is time-consuming and subject to subjectivity, underscoring the need for accura...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.imu.2026.101744
Jiang Guo, Junichiro Shiomi • Next Energy
(2024)
Materials informatics has emerged as a powerful tool for the discovery, design, and optimization of materials with tailored thermal radiative properties. This perspective review highlights the recent advances in optimization algorithms, inc...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.nxener.2023.100078
Yuwei Cui, Kunrong Wu, Ping Wu, Luyan Yang et al. • Machine Learning: Science and Technology
(2026)
Donor-based spin qubits in silicon are a promising platform for scalable quantum computing due to their long coherence times and high-fidelity gate operations. A viable path for fabricating donor qubit arrays with atomic precision is scanni...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/ae8e30
Jiawei Yong, Sihai Tang • Entropy
(2026)
Solving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional para...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e28020156
Shtwai Alsubai, Mohamed Ayari, Natalia Kryvinska, Ahmad Almadhor et al. • Scientific Reports
(2026)
Abstract Cybersecurity challenges have become increasingly complex and widespread, and the risks associated with these problems are substantial, affecting thousands of individuals and organisations and being crucial to national security. As...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-40634-z
Sonwane Suchitra Shivaji Rao, K. Gangadhara Rao • Journal of Applied Science and Engineering
(2026)
Medical analytics based on multimodal intelligence are essential to contemporary healthcare, especially in the diagnosis and detection of liver cancer. However, low contrast, varied textures, and irregular tumor forms in medical imaging con...
DOAJ
Open Access (DOAJ)
DOI: 10.6180/jase.202701_36.052