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FPE–Transformer: A Feature Positional Encoding-Based Transformer Model for Attack Detection
Published 2025-01-01“…FPE–Transformer incorporates an innovative feature positional encoding mechanism that encodes the positional information of each feature separately, enabling a deeper understanding of feature relationships and more precise attack detection. …”
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Arabic Speech Recognition Based on Encoder-Decoder Architecture of Transformer
Published 2023-03-01“…This research presents an Arabic speech recognition based on a transformer encoder-decoder architecture with self-attention to transcribe Arabic audio speech segments into text, which can be trained faster with more efficiency. …”
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Research on Transformer Noise Suppression Based on Redundant Convolutional Encoder Decoder
Published 2023-04-01Subjects: “…power transformer…”
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Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction
Published 2025-01-01Subjects: Get full text
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Bladder lesion detection using EfficientNet and hybrid attention transformer through attention transformation
Published 2025-05-01Subjects: Get full text
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Encoding IoT Data: A Comprehensive Review of Image Transformation Techniques
Published 2025-06-01Subjects: Get full text
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Alternate encoder and dual decoder CNN-Transformer networks for medical image segmentation
Published 2025-03-01Subjects: Get full text
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Monocular Image Depth Estimation Based on the Fusion of Transformer and CNN
Published 2022-12-01Subjects: Get full text
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TRACE: Transformer-Based Risk Assessment for Clinical Evaluation
Published 2025-01-01Subjects: Get full text
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AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder
Published 2022-01-01“…Therefore, we propose a vision transformer-based encoder-decoder model, named AnoViT, designed to reflect normal information by additionally learning the global relationship between image patches, which is capable of both image anomaly detection and localization. …”
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Triplet-Style Dynamic Graph Network With Transformer Encoder for Scam Detection in Cryptocurrency Transactions
Published 2025-01-01Subjects: Get full text
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An enhanced network for extracting tunnel lining defects using transformer encoder and aggregate decoder
Published 2025-02-01“…We propose a deep network model utilizing an encoder–decoder framework that integrates Transformer and convolution for comprehensive defect extraction. …”
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Noise robust aircraft trajectory prediction via autoregressive transformers with hybrid positional encoding
Published 2025-04-01“…This study introduces the Noise-Robust Autoregressive Transformer, a novel model that enhances prediction reliability by integrating noise-regularized embeddings within a multi-head attention equipped with hybrid positional encoding. …”
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Bidirectional Encoder representation from Image Transformers for recognizing sunflower diseases from photographs
Published 2025-06-01Subjects: “…image transformer…”
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15
The vestibular system implements a linear-nonlinear transformation in order to encode self-motion.
Published 2012-01-01“…Although it is well established that the neural code representing the world changes at each stage of a sensory pathway, the transformations that mediate these changes are not well understood. …”
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Research on EEG signal classification of motor imagery based on AE and Transformer
Published 2023-03-01Subjects: “…motor imagery;deep learning;auto-encoder;attention module;Transformer model…”
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Chinese Paper-Cutting Style Transfer via Vision Transformer
Published 2025-07-01Get full text
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Rolling Bearing Life Prediction Based on Improved Transformer Encoding Layer and Multi-Scale Convolution
Published 2025-06-01“…To accurately and reliably characterize the degradation trend of rolling bearings and predict their life cycle, this paper proposes a bearing life prediction model based on an improved transformer encoder layer and multi-scale convolution. …”
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An Encoder-Only Transformer Model for Depression Detection from Social Network Data: The DEENT Approach
Published 2025-03-01“…This paper aims to introduce a model based on encoder-only Transformer architecture to detect depression using a large Twitter dataset collected during the COVID-19 pandemic. …”
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Detection and Classification of Abnormal Power Load Data by Combining One-Hot Encoding and GAN–Transformer
Published 2025-02-01Subjects: Get full text
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