5.623 hasil
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Jisuanji gongcheng
Scopus
ISSN 1000-3428 · Editorial Office of Computer Engineering · 5.623 artikel di indeks
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Review of Multi-rotor Unmanned Aerial Vehicle Simulation Platform
The continuous integration of artificial intelligence and robotics technology has facilitated the widespread adoption of multi-rotor Unmanned Aerial Vehicles (UAVs) across various fields, demonstrating their flexibility and efficiency. However, when developing and validating flight control…
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Superpixel Guide for Transformer Low-Light Image Denoising Method
Existing low-light image denoising methods mainly use the feature extraction and denoising mechanisms of Transformer and Convolutional Neural Networks (CNN). They face two problems: the self attention mechanism based on local windows fails to fully capture the nonlocal self-similarity in images…
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Privacy Protection Algorithm for Federated Learning Based on Personalized Gradient Clipping
Federated learning, as the most commonly used privacy protection framework in deep learning, is widely applied by many institutions. The various participants in this framework achieve the goal of sharing data by uploading model parameter data without leaving the local data. However, in federated…
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Adversarial Generation of Voice-Controlled Speaking Face Videos Based on Modal Affine Fusion
Generating speaking face videos from speech, involving the processing both audio and visual modalities, is a current research hotspot. A key challenge is achieving precise alignment between lip movements in the video and the input audio. To address this problem, this study proposes an end-to-end…
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Affective Assessment Based on Dynamic Digital Analysis of Pupil Diameter
In recent years, emotion recognition research based on physiological signal measurements has gradually gained traction. In particular, Pupil Diameter (PD) is considered a promising physiological indicator that can intuitively reflect changes in an individual's emotional state. However, challenges…
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Few-shot Fine-grained Image Classification Based on Neighborhood Fusion and Feature Enhancement
Currently fine-grained image classification faces challenges such as labeling difficulties, scarce sample numbers, and subtle category differences. To address these issues, a few-shot fine-grained image classification method based on neighborhood fusion and feature enhancement is proposed. First…
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Machine Translation with Large Language Models Based on Correction Mechanism of Error-Prone Words in Translations
Large Language Models (LLMs) demonstrate a certain level of performance in machine translation tasks. These models can generate translations upon receiving a translation prompt. However, owing to limitations imposed by the quality of pre-training corpora and the distribution of languages…
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Semi-Supervised Ordinal Classification Framework Based on Information Fusion
In ordinal classification, class labels have a natural order. It has been widely studied in various fields, such as movie ratings and age estimation. Most existing methods assume that all samples are labeled. However, the unique nature of data often makes the collection of extensive labeled data…
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3D Object Detection Algorithm Based on 4D Millimeter-Wave Radar and Vision Fusion
This study proposes a Common and Differential Cross-Attention Module-Bird's-Eye View (CDCAM-BEV) algorithm that combines 4D millimeter-wave radar and vision fusion to improve target detection accuracy for pedestrian and vehicle target recognition and localization in autonomous driving scenarios…
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Clothing Retrieval Based on Multiple Prompts and Contrastive Image-Text Learning
With the continuous development of multimodal learning, the field of image retrieval is facing new opportunities and challenges. Most existing clothing retrieval models are based on convolutional neural networks or a Transformer's unimodal retrieval, ignoring the rich textual information…
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Wireless Device Identification Scheme Based on CSI Feature Fingerprints
In recent years, wireless networks have been widely used in healthcare, industry, education, and military applications. However, security threats for these networks are increasing. Traditional cryptographic authentication methods have several limitations, including restricted computational…
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UAV Image Small Object Detection Algorithm Based on Multi-layer Feature Fusion and Attention Mechanism
Object detection in Unmanned Aerial Vehicle (UAV) aerial photography images is prone to incorrect or missed detections when the target is small, obstructed, or characterized by dense scales. To address the above challenges, this paper proposes the SNA-YOLOv5s algorithm for small target detection…
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Meta-RAG: A Metadata-Driven Retrieval-Augmented Generation Framework for the Power Industry
Large Language Models (LLMs) have made significant progress in dialogue, reasoning, and knowledge retention. However, they still face challenges in terms of factual accuracy, knowledge updates, and a lack of high-quality domain datasets for handling knowledge-intensive tasks in the electricity…
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SRMpose:Multi-Scale Feature Extraction Keypoint Detection Algorithm
Human keypoint detection is increasingly being applied in fields such as motion behavior recognition and human-computer interaction. Taking the case of long jump, this study proposes a multi-scale feature extraction keypoint detection algorithm to improve the accuracy of human keypoint detection…
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SEHC-Net: Network for Image Segmentation Based on Information Compensation and Perceptual Enhancement
Using U-Net as the backbone, a novel medical image segmentation network called SEHC-Net is proposed for medical image segmentation of melanoma. A new structure named Sense and Edge Boost Module (SEBM) is designed specifically to address the challenges in segmenting melanoma images having irregular…
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Automatic Corpus Query Generation Method Based on Large Language Model
Corpus Query Language (CQL) is a specialized tool for searching and analyzing linguistic corpora. Automating the conversion of natural language queries into CQL statements significantly lowers entry barriers for corpus users. Although Large Language Models (LLMs) excel in many natural language…
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Network Device Detection Method Based on Device Time-Delay and Hybrid Deep Learning Model
Current network device identification methods based on hardware fingerprints are not efficient in collecting and extracting features, and device classification methods based on traffic characteristics only consider existing device types and cannot detect abnormal devices. To address these problems…
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Research on Vehicle Trajectory Prediction Based on Multifeature Fusion
In response to the problems of insufficient vehicle feature extraction and single prediction scenarios in existing models, this paper proposes a vehicle trajectory prediction model, called MTF-GRU-MTSHMA, that integrates multiple features in multiple scenarios. The proposed model consists of an…
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Research on Cross-Modal Image-Text Retrieval Based on Cross Attention and Feature Aggregation
Image-text retrieval has become an important research direction in cross modal fields. However, the existing methods of aggregating multiple modal features face two major challenges: insufficient feature alignment between modalities and semantic representation loss within modalities. A cross modal…
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Adaptive Lossless Segmented Compression Method Integrating Temporal Dependencies and Data Features
Compression algorithms struggle to maintain a high compression ratio when handling complex and diverse patterns in time series data. Thus, selecting the appropriate compression algorithms tailored to different patterns is an urgent requirement. Existing adaptive compression schemes have low…
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