The proceedings contain 296 papers. The topics discussed include: referring image segmentation: an attention-based integrative fusion approach;segmentation of brain tumor with deep learning models;deep learning based ...
ISBN:
(纸本)9798350381665
The proceedings contain 296 papers. The topics discussed include: referring image segmentation: an attention-based integrative fusion approach;segmentation of brain tumor with deep learning models;deep learning based recognition of sign language;research and design of Chinese oral learning system based on speech recognition;digitization of ECG records using signal extraction techniques;efficiency analysis of CNN through different filters for medical image classification;leveraging DeepLabV3+ for lung region delineation in chest radiographs using convolutional neural network approach;Intelli-change remote sensing - a novel transformer approach;enactment of sales forecasting application using artificial intelligence techniques;and triangular inequality based K-means clustering method for online learning platform for college English on web technology.
The proceedings contain 10 papers. The topics discussed include: comparative analysis of deep learning methods for automated diagnosis of pulmonary diseases from chest X-ray images: a study based on ICD-10;deep residu...
ISBN:
(纸本)9781643685762
The proceedings contain 10 papers. The topics discussed include: comparative analysis of deep learning methods for automated diagnosis of pulmonary diseases from chest X-ray images: a study based on ICD-10;deep residual learning for fruits of ceremonial plants recognition;PiVisionSort: integrating image processing and machine learning for material recognition on conveyor belts;intelligent detection of potholes using SSD algorithm and auto-alert notification system for user;the use of motion and gaze features to detect speaking intention in VR-mediated communication environments;optimized retinal vessel segmentation using IS-Net and high-resolution dataset;a framework for adopting machine learning in the clinical domain;and a study on a domain BERT-based named entity recognition method for faulty text.
The proceedings contain 14 papers. The topics discussed include: increasing the transferability of adversarial attack by depthwise separation convolution;multi-modal deep learning model for stock crises;reconstruct at...
ISBN:
(纸本)9798350381474
The proceedings contain 14 papers. The topics discussed include: increasing the transferability of adversarial attack by depthwise separation convolution;multi-modal deep learning model for stock crises;reconstruct attack from historical updates against byzantine robust federated learning;integrating pre-trained language model into neural machine translation;active learning efficiency benchmark for coreference resolution including advanced uncertainty representations;and a comprehensive study on Bangla automatic speech recognition systems.
This paper discusses the core features of computer database technology and elaborates on its practical strategies in the field of information management. It aims to optimize information management processes, enhance t...
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With the development of science and technology and the progress of data processing technology, big data weak signal detection is playing an increasingly important role in scientific research and engineering applicatio...
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In response to the growing demand for secure healthcare systems, this paper disaplys a blockchain-enabled federated learning architecture called Medical BCFL. The architecture aims to address privacy concerns and faci...
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Due to the implementation of information management in colleges, a large number of data related to student behavior are generated. How to combine the data of students’ daily life to predict and classify the students ...
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Malicious code detection is one of the important research directions in the field of cybersecurity. Converting code into image information using convolutional neural networks (CNN) for malicious code detection has bee...
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Due to the rapid increase in the volume of text data, traditional recommendation systems that rely solely on textual information are struggling to keep up with the evolving fashion trends and the personalized needs of...
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The site selection of airborne field is an important part of airborne operations. Selecting a suitable location quickly and accurately for airborne operations makes it convenient for airborne combats. This paper mainl...
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