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The Effect of Transformer-Oil Aging on the Residual Service Life of the Transformer and Its Diagnostic Parameters
AbstractOne of the methods for the diagnostics of the main insulation of power oil transformers is considered. The testing results for the main...
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Intelligent distribution transformer using a fractionally rated converter based on an existing distribution transformer
This article proposes an intelligent distribution transformer topology. The proposed system includes a transformer and a fractionally rated power...
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Application of visual transformer in renal image analysis
Deep Self-Attention Network (Transformer) is an encoder–decoder architectural model that excels in establishing long-distance dependencies and is...
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A transformer-based network for speech recognition
In the field of automatic speech recognition (ASR), the noisy audio data and the ambiguity in recognizing homophone lead to the degradation of model...
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Speech Keyword Spotting Method Based on Swin-Transformer Model
With the rapid advancements in deep learning technology, the Transformer-based attention neural network has shown promising performance in keyword...
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A Novel Tapped Transformer Multilevel Inverter
This work proposes a novel tapped transformer multilevel inverter (TTMLI) to address the issues of MLIs that require multiple DC sources or use...
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A Review of Visual Transformer Research
The development of Transformer in the field of computer vision has been very rapid in the past two years. Influenced by the development of...
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Implementation of novel toroidal transformer-based single-phase multilevel inverter
Multilevel inverters (MLIs) have gained traction for their application in high-voltage AC systems and renewable energy. They use fewer DC sources and...
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Transformer Condition Control Advanced and Traditional Technologies
This book is devoted to one of the main problems of modern electrical power engineering—power transformer diagnostics. The first three chapters...
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Advantages of transformer and its application for medical image segmentation: a survey
PurposeConvolution operator-based neural networks have shown great success in medical image segmentation over the past decade. The U-shaped network...
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Automatic text summarization using transformer-based language models
Automatic text summarization is a lucrative field in natural language processing (NLP). The amount of data flow has multiplied with the switch to...
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DeTformer: A Novel Efficient Transformer Framework for Image Deraining
Captured rainy images severely degrade outdoor vision systems performance, such as semi-autonomous or autonomous driving systems and video...
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Spatiotemporal key region transformer for visual tracking
Visual tracking is an important field of computer vision research. Although transformer-based trackers have achieved remarkable performance, the...
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Image attention transformer network for indoor 3D object detection
Point clouds and RGB images are both critical data for 3D object detection. While recent multi-modal methods combine them directly and show...
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Transformer embedded spectral-based graph network for facial expression recognition
Deep graph convolution networks which exploit relations among facial muscle movements for facial expression recognition (FER) have achieved great...
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Combining transformer global and local feature extraction for object detection
Convolutional neural network (CNN)-based object detectors perform excellently but lack global feature extraction and cannot establish global...
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The Applications of 3D Input Data and Scalability Element by Transformer Based Methods: A Review
Outstanding effectiveness of transformers in visual tasks has resulted in its fast growth and adoption in three dimensions (3D) vision tasks. Vision...
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MusicEmo: transformer-based intelligent approach towards music emotion generation and recognition
The paper proposes a novel approach called MusicEmo, a transformer-based intelligent system for music emotion generation and recognition. The paper...
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TFITrack: Transformer Feature Integration Network for Object Tracking
Due to the ignoring of rich spatio-temporal and global contextual information with convolutional neural networks in features extraction, the...
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Evaluating protein binding interfaces with transformer networks
Computational protein-binding studies are widely used to investigate fundamental biological processes and facilitate the development of modern drugs,...
