Articles with "transformer" as a keyword



Perovskite Neuromorphic Engine for Transformer Architectures

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Published in 2025 at "Advanced Science"

DOI: 10.1002/advs.202504706

Abstract: Memristive computing refers to the hardware implementation of artificial neural networks (ANNs) by employing memristive devices. It supports analog multiply‐and‐accumulation (MAC) operation in a compact and highly parallel manner, which can significantly enhance computing efficiency.… read more here.

Keywords: engine transformer; perovskite neuromorphic; memristive computing; transformer ... See more keywords

Predicting both thermodynamic and kinetic properties of crystallizing molecules via transformer‐based language model

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Published in 2025 at "AIChE Journal"

DOI: 10.1002/aic.18923

Abstract: Crystallization is pivotal in the chemical and pharmaceutical industry, affecting particle stability, and drug release. Crystal size distribution (CSD), a critical attribute of the final dosage form, is determined by the molecular structure of the… read more here.

Keywords: predicting thermodynamic; properties crystallizing; kinetic properties; language ... See more keywords

Ensemble Architecture of Vision Transformer and CNNs for Breast Cancer Tumor Detection From Mammograms

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Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70090

Abstract: Addressing the complexities of classifying distinct object classes in computer vision presents several challenges, including effectively capturing features such as color, form, and tissue size for each class, correlating class vulnerabilities, singly capturing features, and… read more here.

Keywords: cancer; breast cancer; class; vision ... See more keywords

DSA: Deep Self‐Attention Medical Transformer Neuro‐Technology for Brain Tumor Segmentation

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Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70109

Abstract: Transformer‐based methods have shown remarkable outcomes in medical image segmentation tasks. Specifically, the Swin Transformer has proven to be an impressive approach for segmentation jobs, demonstrating its potential to further the discipline. Extensive research on… read more here.

Keywords: tumor segmentation; segmentation; tumor; transformer ... See more keywords

TDGU‐Net: A Hybrid CNN‐Transformer Model for Intracranial Aneurysm Segmentation

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Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70157

Abstract: Intracranial aneurysms are life‐threatening cerebrovascular conditions, and their accurate identification is crucial for early diagnosis and treatment planning. Automated segmentation technology plays a key role in enhancing diagnostic accuracy and enabling timely intervention. However, the… read more here.

Keywords: hybrid cnn; segmentation; net hybrid; tdgu net ... See more keywords

RT‐Unet: An advanced network based on residual network and transformer for medical image segmentation

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Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22956

Abstract: For the past several years, semantic segmentation method based on deep learning, especially Unet, have achieved tremendous success in medical image processing. The U‐shaped topology of Unet can well solve image segmentation tasks. However, due… read more here.

Keywords: residual network; network; unet; segmentation ... See more keywords

A flexible tri‐band impedance transformer for frequency‐dependent complex impedances with simple structure

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Published in 2024 at "Microwave and Optical Technology Letters"

DOI: 10.1002/mop.34346

Abstract: This paper proposes a simple tri‐band impedance transformer for frequency‐dependent complex impedances. The proposed transformer is a cascade of a π‐model transformer, three series transmission lines, and a tri‐band susceptance stub network, the structure is… read more here.

Keywords: dependent complex; band; complex impedances; transformer ... See more keywords

W-Transformer: Accurate Cobb angles estimation by using a transformer-based hybrid structure.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15561

Abstract: BACKGROUND Scoliosis is a type of spinal deformity, which is harmful to a person's health. In severe cases, it can trigger paralysis or death. The measurement of Cobb angle plays an essential role in assessing… read more here.

Keywords: cobb angles; scoliosis; angles estimation; cobb ... See more keywords

TrEnD: A transformer-based encoder-decoder model with adaptive patch embedding for mass segmentation in mammograms.

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Published in 2023 at "Medical physics"

DOI: 10.1002/mp.16216

Abstract: BACKGROUND Breast cancer is one of the most prevalent malignancies diagnosed in women. Mammogram inspection in the search and delineation of breast tumors is an essential prerequisite for a reliable diagnosis. However, analyzing mammograms by… read more here.

Keywords: mass segmentation; transformer; segmentation; model ... See more keywords

Shock-wave dynamics during oil-filled transformer explosions

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Published in 2017 at "Shock Waves"

DOI: 10.1007/s00193-016-0688-2

Abstract: This paper presents a numerical and experimental study of the shock-wave processes evolving inside a closed vessel filled with mineral oil. Obtained experimental Hugoniot data for oil are compared with the corresponding data for water.… read more here.

Keywords: compression; water; transformer; mineral oil ... See more keywords

Performance of transformer differential relay at different neutral grounding resistance based on wavelet transform

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Published in 2017 at "Electrical Engineering"

DOI: 10.1007/s00202-016-0423-0

Abstract: Power transformer protective relay should block the tripping during magnetizing inrush and rapidly should operate the tripping during internal faults. There are a variety of protective relays using different measuring techniques to provide reliable and… read more here.

Keywords: different neutral; relay; transformer; neutral grounding ... See more keywords