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Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds

Maali Alabdulhafith, Abduljabbar S. Ba Mahel, Nagwan Abdel Samee, Noha F. Mahmoud et al. • Frontiers in Medicine (2024)

Quality of life is greatly affected by chronic wounds. It requires more intensive care than acute wounds. Schedule follow-up appointments with their doctor to track healing. Good wound treatment promotes healing and fewer problems. Wound ca...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2024.1310137

Power Load Probabilistic Prediction Based on Multi-Value Quantile Regression and Timing Fusion Ensemble Learning Model

Yuhang Liu, Fei Mei, Jun Zhang, Xiang Dai et al. • Entropy (2026)

The core component to ensure the refined and safe operation of distribution network scheduling is 10 kV bus load probabilistic prediction. However, existing probabilistic prediction methods suffer from insufficient dynamic feature extractio...

DOAJ Open Access (DOAJ) DOI: 10.3390/e28030329

Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images

Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

To maintain marine ecosystem health, effective algae monitoring is essential. Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types. This stu...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2025.3571988

MFEFNet: An Efficient Network for Infrared Small Target Detection With Multiview Feature Extraction and Multiscale Attention Fusion

Liu Zhang, Zongchen Zhao, Xueying Lv, Xuanyun Zhang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Infrared small target detection (IRSTD) remains a core challenge in remote sensing, mainly due to low signal-to-noise ratios, small target sizes, background interference, and large-scale variations. Although existing methods have achieved p...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3685006

DAF-UNet: Deformable U-Net with Atrous-Convolution Feature Pyramid for Retinal Vessel Segmentation

Yongchao Duan, Rui Yang, Ming Zhao, Mingrui Qi et al. • Mathematics (2025)

Segmentation of retinal vessels from fundus images is critical for diagnosing diseases such as diabetes and hypertension. However, the inherent challenges posed by the complex geometries of vessels and the highly imbalanced distribution of ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math13091454

Implementation of a Transform-Minutiae Fusion-Based Model for Fingerprint Recognition

Justice Kwame Appati, Prince Kofi Nartey, Ebenezer Owusu, Ismail Wafaa Denwar • International Journal of Mathematics and Mathematical Sciences (2021)

Biometrics consists of scientific methods of using a person’s unique physiological or behavioral traits for electronic identification and verification. The traits for biometric identification are fingerprint, voice, face, and palm print rec...

DOAJ Open Access (DOAJ) DOI: 10.1155/2021/5545488

Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data

Milena Engelke, Jorge Piano Simões, Laura Basso, Nina Wunder et al. • npj Digital Medicine (2025)

Abstract Intensive longitudinal sampling enhances subjective data collection by capturing real-time, dynamic inputs in natural settings, complementing traditional methods. This study evaluates the feasibility of using daily self-reported ap...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-024-01425-w

Adaptive frequency band attention-guided CNN–BiLSTM for Spatial–Spectral–Temporal EEG emotion recognition

Rabita Hasan, Sheikh Md. Rabiul Islam • Brain Informatics (2026)

Abstract Electroencephalography (EEG)-based emotion recognition has gained increasing attention in affective computing because EEG provides high temporal resolution and reflects intrinsic neural activity. However, reliable emotion recogniti...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40708-026-00319-9

Fundus imaging based quantum computing: Grading of severity of vision threatening diabetic retinopathy

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

Quantum transfer learning for cross-domain cybersecurity threat detection and categorization

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

Using an Inspired Quantum-Classical Sequential Neural Network to Segment Liver Tumor Images Accurately

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

The Role and Application of Matrices in Artificial Intelligence: Foundations, Methods, and Advancements

Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari (2025)

Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.59231/SARI7840

Neural Networks for Pattern Recognition

Chris Bishop (1995)

Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes technique...

OPENALEX DOI: https://doi.org/10.1093/oso/9780198538493.001.0001

Deep Learning for Instance Retrieval: A Survey

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...

OPENALEX Open Access DOI: https://doi.org/10.1109/tpami.2022.3218591