检索结果-内蒙古大学图书馆

3rd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Li, Xin Gao, Shuai School Of Foreign Languages College Of Humanities & Information Changchun University Of Technology Jilin Changchun China School Of Foreign Languages Changchun University Jilin Changchun China

ISBN: (纸本)9798350318609

With the development of economic globalization, many foreign languages have become the most common languages in the world and have been increasingly applied. However, there is a shortage of personnel with high foreign language proficiency in various industries. People should strengthen the cultivation of language skills according to market needs. Translation is the core of language ability, and in order to apply foreign languages to practical communication activities, it is necessary to pay attention to the correction and research of foreign language pronunciation. Previously, foreign language translation systems were conducted according to the instructions of teachers, which not only consumed a lot of manpower but also made it difficult to implement. Therefore, it is very important to research and establish an intelligent translation system. This mode can monitor students' foreign language pronunciation and provide correct suggestions. The traditional intelligent recognition mode and settings for foreign language translations are not accurate enough to accurately recognize foreign language translations, correct foreign language pronunciation correctly, and even produce incorrect pronunciation, thereby affecting foreign language learning. Based on the above issues, this article studied an intelligent foreign language translation recognition model based on CNN (Convolutional Neural Networks) algorithm and DTW (Dynamic Time Warping) algorithm, in order to automatically recognize foreign language translations. In order to verify the effectiveness of the model, simulation experiments were conducted in the simulated environment in the article. The experimental results showed that compared to existing systems, the machine synchronous translation system of artificial intelligence technology and speech recognition (in this article) had the highest translation recognition accuracy of 95 00%. © 2024 IEEE.

关键词： Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Application of Artificial intelligence Technology in Intelligent Environment Design System 3

Application of Artificial Intelligence Technology in Intelli...

引用

3rd international conference on Artificial intelligence and Autonomous Robot Systems, AIARS 2024

作者： Liu, Shui Huang, Jiao Changchun Humanities and Sciences College Jilin Province Changchun130117 China

ISBN: (纸本)9798350376173

How to solve the problem of low space utilization in the current environmental design system? By proposing artificial intelligence technology, this paper aims to improve the efficiency, intelligence and user experience of the system. This research adopts the method of literature review, collects and analyzes academic literature and practical application cases in related fields, and summarizes the common applications of artificial intelligence technology in intelligent environment design systems through comprehensive analysis of the literature and case studies. The research results show that the space utilization rate of this method is as high as 88%-95%. Artificial intelligence technology plays an important role in the intelligent environment design system, which can improve the intelligence, efficiency and user experience of the system. Future research can further explore the application of different artificial intelligence technologies in intelligent environment design systems, and how to further optimize the performance and reliability of these technologies. © 2024 IEEE.

关键词： artificial intelligence data processing intelligent environment design system support vector machine

来源：评论

学校读者我要写书评

暂无评论

Realization of Halcon Image Segmentation Algorithm in machine Vision for Complex Scenarios 3

Realization of Halcon Image Segmentation Algorithm in Machin...

引用

3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Ke, Li The Open University of GuangDong School of Artificial Intelligence GuangZhou510091 China

ISBN: (纸本)9781665462167

In the complex real world, with the application and popularization of the intelligent systems and information platforms, complex image recognition and segmentation need to be paid attention to. Therefore, this paper studies the realization of Halcon image segmentation algorithm in machine vision for complex scenarios. Firstly, the image complexity is analyzed. The core reason for firstly analyzing the image complex modelling is that for different images with the segmentation task, the training sets are different. Through the classification of the image complexity, different training and experimental sets can be targeted for performing the real-time tasks, and then, a novel complexity level model is defined. Then, a 2-step segmentation algorithm is proposed. For the simple and complex images, the segmentation models are different to make the comprehensive model efficient. For the complex image, the Selection of Cluster Number algorithm is applied. The proposed experiment compares the proposed model with the FCM, KFCM and SVM and the results have shown that the designed model is efficient considering different factors. © 2023 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

3rd IEEE International Conference on Mobile Networks and Wir...

引用

3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

ISBN: (纸本)9798350317022

The proceedings contain 282 papers. The topics discussed include: design of automatic correction system for English pronunciation errors based on HMM algorithm;detection of unwanted information on Quora using support vector machine and AlexNet;a real-time spam identification scheme over social networking environment using deep learning principles;hybrid feature extraction improves image retrieval by fusing diverse methods for enhanced content-based search;tennis stroke tracking and recognition system (TARS) based on D-P algorithm;identification of fingerprint orientation using improved generative adversarial network with support vector machine;application research of deep learning in clothing style design;and implementation of artificial intelligence in engineering to achieve sustainable development goals (SDGs).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Image Stitching Techniques Applied to Plane or 3-D Models: A Review

引用

IEEE SENSORS JOURNAL 2023年第8期23卷 8060-8079页

作者： Fu, Mengyin Liang, Hao Zhu, Chunhui Dong, Zhipeng Sun, Rundong Yue, Yufeng Yang, Yi Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China Nanjing Univ Sci & Technol Sch Automat Nanjing 210014 Peoples R China Beijing Inst Technol Integrated Nav & Intelligent Nav Lab Beijing 100081 Peoples R China Beijing Inst Technol Natl Key Lab Autonomous Intelligent Unmanned Syst Beijing 100081 Peoples R China

Image stitching is a technique in which multiple overlapping images of the scene are stitched together to generate an image with a wide view and high resolution. Image stitching methods can be broadly classified into feature-based and deep learning methods. Feature-based methods use manually designed features to establish transformation relationships between multiple images. This technology has played an important role in medical, industrial, military, and other fields. With the rise of deep learning in computer vision, it has also become the mainstream method in the field of image stitching. This article provides a systematic literature review of image stitching techniques applied on the plane and 3-D models for both feature-based and deep learning methods. We divide the stitching methods into two categories, namely, mosaic stitching methods for generating stitched plane images and panoramic stitching methods for generating stitched panoramic images. Based on the camera type, it is further divided into pinhole camera plane stitching methods, pinhole camera panoramic stitching methods, fisheye camera panoramic stitching methods, and light field camera plane stitching methods. An extensive search was conducted in international conference on Image Processing (ICIP), IEEE Transactions on Image Processing (TIP), international conference on Computer Vision (ICCV), European conference on Computer Vision (ECCV), IEEE conference on Computer Vision and pattern recognition (CVPR), British machine Vision conference (BMVC), international conference on pattern recognition (ICPR), international Journal of Computer Vision (IJCV), IEEE/ASME international conference on Advanced Intelligent Mechatronics (AIM), IEEE Transactions on Intelligent Transportation Systems (ITS), IEEE Transactions on pattern Analysis and machine intelligence (TPAMI), and ACM SIGGRAPH Computer Graphics (SIGGRAFH) to summarize related image stitching techniques;89 articles are selected for systematic literatur

关键词： Cameras Image stitching Pipelines Sensors Light fields Bibliographies Systematics Geometric correction image models image stitching reconstruction registration

来源：评论

学校读者我要写书评

暂无评论

2023 3rd international conference on Applied Artificial intelligence, ICAPAI 2023

2023 3rd International Conference on Applied Artificial Inte...

引用

3rd international conference on Applied Artificial intelligence, ICAPAI 2023

ISBN: (纸本)9798350328929

The proceedings contain 11 papers. The topics discussed include: metaheuristic firefly and C5.0 algorithms based intrusion detection for critical infrastructures;a novel spatial-temporal deep neural network for electricity price forecasting;temporal-spatial graph neural network for wind power forecasting considering the blockage effects;European standardization efforts from fair toward explainable-AI-ready data documentation in materials modelling;detection of pneumonia from chest X-ray images using convolutional neural network (CNN);SVM at edge: low cost caching prediction for connected edge intelligence in federated machine learning;staying ahead of the curve: early prediction of academic probation among first-year cs students;facial expression recognition using deep neural network;human posture detection on lightweight DCNN and SVM in a digitalized healthcare system;and fishing trawler event detection: an important step towards digitization of sustainable fishing.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Visionary Cardioscan: Heart Risk Detection through Retinal Imaging 3

Visionary Cardioscan: Heart Risk Detection through Retinal I...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Arun Kumar, S. Dharshini, B. Hemanth, M. Vignesh, S. Saratha, M. Department of Artificial Intelligence and Machine Learning M.Kumarasamy College of Engineering Karur India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527549

Heart attacks and hypertension are two cardiovascular disease risk factors that have a major impact on the microvascular system's structure and function. Fundus camera images can detect abnormalities in retinal blood vessels that indicate vascular injury. Using machine learning techniques, preclinical signs of damage, which may not be visible to an observer, can be detected. It proposes a system that uses retinal images to predict heart attack risk. The model leverages vessel segmentation to extract morphological details of retinal blood vessels. The results can assist in identifying heart disease early, especially in young patients. © 2025 IEEE.

关键词： Ophthalmology

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Artificial-Business Analytics, Quantum and machine Learning: Trends, Perspectives, and Prospects, Com-IT-Con 2023

3rd International Conference on Artificial-Business Analytic...

引用

3rd international conference on Artificial-Business Analytics, Quantum and machine Learning: Trends, Perspectives, and Prospects, Com-IT-Con 2023

ISBN: (纸本)9789819748594

The proceedings contain 60 papers. The special focus in this conference is on Artificial-Business Analytics, Quantum and machine Learning: Trends, Perspectives, and Prospects. The topics include: Particle Swarm Optimization for Efficient Data Dissemination in VANETs;a Reactive Approach for High-Accuracy and Data-Driven Customer Behaviour Analysis and Prediction;a Brief Survey on Fabric Defect Detection;CNN Based Real Time Detection of Words from Lip Movements and Automated into Text;application of Artificial intelligence for the Diagnosis of Dementia (Alzheimer): A Systematic Evaluation;shortest Job First with Gateway-Based Resource Management Strategy for Fog Enabled Cloud Computing;software Vulnerability Analysis Based on Statistical Characteristics;hate Speech Detection on Twitter: A Comparative Evaluation of Different machine Learning Techniques;detection of Heart Disease Using machine Learning;SVM-Based Framework for Breast Cancer Detection;hand Gesture recognition System Using machine Learning;deep Learning Method for Plant Disease recognition and Prediction;Lung Cancer Detection by Using CNN Architecture Models;deep Fake Analyser: A Review Based on Detecting the Deepfakes;predicting the Outcomes of La Liga Matches;Artifact Detection and Removal in EEG: A Review of Methods and Contemporary Usage;analyzing the Employee Attrition Rate: A Comparative Study of Various machine Learning Approaches to Foresee Employee Attrition;satellite Image Classification Using Deep Learning for Big Earth Data;tackling Misinformation Through Tweets: A Comparative Study of Various machine Learning Approaches;feature-Based Anomaly Detection in Static Social Networks;framework for Optimising Supply Chain Analysis Using machine Learning;evaluation of Load Forecasting in Intelligent Grid Systems Through machine Learning Techniques.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

3rd International Conference on Intelligent Data Communicati...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

ISBN: (纸本)9798331527549

The proceedings contain 354 papers. The topics discussed include: quantifying effectiveness of governmental agriculture policies using RNN-transformer based sentiment analysis;artificial intelligence to enhance the security of internet of things: a comprehensive review;dual-plate verification system for vehicle identification using IoT and embedded systems;eco-friendly next-gen air conditioning with IoT-based embedded monitoring and control for reduced energy consumption;investigation on attack detection in IoT networks: a study and analysis of the existing machine learning and deep learning techniques;monitoring and leak detection of hazardous gas using internet of things;and navigating SAP ERP implementation: identifying success drivers and pitfalls.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Artificial intelligence based ECG Analysis to Assess Cardiac Health 3

Artificial Intelligence based ECG Analysis to Assess Cardiac...

引用

3rd international conference on Sentiment Analysis and Deep Learning, ICSADL 2024

作者： Balipa, Mamatha Murugappan, M. Castalino, Ashton Nitte India Kuwait College of Science and Technology Department of Electronics and Communication Engg Kuwait University NMAM Institute of Technology MCA Department Nitte India

ISBN: (纸本)9798350396157

Heart disease remains a leading cause of mortality worldwide. Early identification and precise diagnosis are essential for timely intervention and improved patient outcomes. A common diagnostic method for evaluating the condition of the heart is Electrocardiography (ECG). In recent years, advancements in machine learning and artificial intelligence techniques have paved the way for automated analysis of ECG data, providing promising avenues for efficient heart disease detection. This abstract presents a new method of detecting heart problems utilizing ECG data and machine learning algorithms. The system being proposed aims to automate the diagnosis process and assist healthcare professionals in making accurate and timely decisions. The framework contains three essential steps: Preprocessing, feature extraction, and classification of ECG signals. © 2024 IEEE.

关键词： Electrocardiography

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：