IEEE

Medical Report Generation With Knowledge Distillation and Multi-Stage Hierarchical Attention in Vision Transformer Encoder and GPT-2 Decoder

Abstract: Automated medical report generation is a challenging task that involves synthesizing diagnostic findings and clinical observations from medical images. In this study, we propose a novel ...
IEEE

RMemVD: A Simple Restricted Multi-Memory Bank for Video Deblurring

Abstract: Video deblurring relies on leveraging information from adjacent frames in the video sequence to restore the blurred regions in the current frame. The previous methods mainly employ ...
IEEE

Arabic News Classification and Generation Based on an Encoder-Decoder Transformer Model (ArabicT5)

Abstract: The proliferation of Arabic information on the internet has led to a surge in the demand for automated Arabic text classification and generation techniques. Arabic text classification and ...
IEEE

DHANet: An Encoder–Decoder Network With Multiscale Features Fusing for Optic Disk Segmentation

Abstract: Automatic and accurate segmentation of the optic disk (OD) region has practical applications in the medical field. In this study, a novel encoder-decoder network is proposed to segment the ...
IEEE

CNN-based Deep Auto-Encoders for Limited Gas Chromatography - Ion Mobility Spectrometry Data

Abstract: Gas Chromatography - Ion Mobility Spectrometry (GC-IMS) serves as a valuable analytical tool for enhancing non-targeted screening of volatile organic compounds in a wide range of different ...
IEEE

BA-SAM: Boundary-Aware Adaptation of Segment Anything Model for Medical Image Segmentation

Abstract: The Segment Anything Model (SAM) has demonstrated remarkable capabilities in its performance on natural images. However, it faces considerable challenges when applied to medical datasets.
IEEE

Handwritten Text Recognition Using Bi-LSTM, CNN and Transformer Encoder

Abstract: In order to digitize handwritten documents and make historical archives, administrative records, and private notes, Handwritten text recognition (HTR) is necessary. Maintaining knowledge and ...
IEEE

Real-Time Diagnosis of Abrupt and Incipient Faults in IMU Using a Lightweight CNN-Transformer Hybrid Model

Abstract: The fault diagnosis is crucial for improving the reliability and safety of industrial sensors. Diagnosing faults in inertial measurement units (IMUs) is particularly challenging due to the ...
IEEE

Diverse GNN Encoder-Decoder for Graph Anomaly Detection

Abstract: Attributed graphs contain extra information on the vertices and edges. They can be used to model a plethora of real-world scenarios like social networks, bank transactions, and even academic ...
IEEE

Energy-Efficient Three-Valued Logic Encoder and Decoder Circuits with GNRFETs

Abstract: Three-valued logic offers potential advantages over binary logic, including faster computation, smaller chip size and reduced interconnects that leading to lower complexity, higher speed and ...
IEEE

Transforming Disability Into Ability: An Explainable Vision-to-Voice Image Captioning Framework Using Transformer Models and Edge Computing

Abstract: Image captioning is an emerging field at the intersection of computer vision and natural language processing (NLP). It has shown great potential to enhance accessibility by automatically ...
GitHub

Master Glyph Encoder and Decode

There was an error while loading. Please reload this page. Master Glyph Encoder and Decode This document specifies the GLYPH-LLM container used for your folded ...