检索结果-内蒙古大学图书馆

Hybrid Color Texture Features Classification Through ANN for Melanoma

Intelligent Automation & Soft Computing 2023年第2期35卷 2205-2218页

作者： Saleem Mustafa Arfan Jaffar Muhammad Waseem Iqbal Asma Abubakar Abdullah S.Alshahrani Ahmed Alghamdi Faculty of Computer Science&Information Technology Superior UniversityLahore54600Pakistan Department of Software Engineering Superior UniversityLahore54600Pakistan Department of Computer Science&Artificial Intelligence College of Computer Science&EngineeringUniversity of Jeddah21493Saudi Arabia Department of Software Engineering College of Computer Science and EngineeringUniversity of Jeddah21493Saudi Arabia

Melanoma is of the lethal and rare types of skin *** is curable at an initial stage and the patient can survive *** is very difﬁcult to screen all skin lesion patients due to costly *** are requiring a correct method for the right treatment for dermoscopic clinical features such as lesion borders,pigment networks,and the color of *** challenges are required an automated system to classify the clinical features of melanoma and non-melanoma *** trained clinicians can overcome the issues such as low contrast,lesions varying in size,color,and the existence of several objects like hair,reﬂections,air bubbles,and oils on almost all *** contour is one of the suitable methods with some drawbacks for the segmentation of irre-gular *** entropy and morphology-based automated mask selection is pro-posed for the active contour *** proposed method can improve the overall segmentation along with the boundary of melanoma *** this study,features have been extracted to perform the classiﬁcation on different texture scales like Gray level co-occurrence matrix(GLCM)and Local binary pattern(LBP).When four different moments pull out in six different color spaces like HSV,Lin RGB,YIQ,YCbCr,XYZ,and CIE L*a*b then global information from different colors channels have been ***,hybrid fused texture features;such as local,color feature as global,shape features,and Artiﬁcial neural network(ANN)as classiﬁers have been proposed for the categorization of the malignant and *** had been carried out on datasets Dermis,DermQuest,and *** results of our advanced method showed super-iority and contrast with the existing state-of-the-art techniques.

关键词： Gray level co-occurrence matrix local binary pattern artiﬁcial neural networks support vector machines color skin cancer dermoscopic

来源：评论

学校读者我要写书评

暂无评论

A Multi-Agent Based Model for User Interest Mining on Sina Weibo

引用

China Communications 2022年第2期19卷 225-234页

作者： Meijia Wang Qingshan Li School of Electronic Information and Artifical Intelligence Shaanxi University of Science and TechnologyXi’an 710021China Software Engineering Institude Xidian UniversityXi’an 710071China

User interest mining on Sina Weibo is the basis of personalized recommendations,advertising,marketing promotions,and other *** great progress has been made in this area,previous studies have ignored the differences among users:the varied behaviors and habits that lead to unique user data *** is unreasonable to use a single strategy to mine interests from such varied user ***,this paper proposes an adaptive model for user interest mining based on a multi-agent system whose input includes self-descriptive user data,microblogs and *** method has the ability to select the appropriate strategy based on each user’s data *** experimental results show that the proposed method performs better than the baselines.

关键词： multi-agent system user interest mining adaptive model Sina Weibo online social network

来源：评论

学校读者我要写书评

暂无评论

Ontological Approach to the Document Synthesis Based on Data Mining 7

Ontological Approach to the Document Synthesis Based on Data...

引用

7th International Conference on information Technologies in engineering Education, Inforino 2024

作者： Borisov, V.V. Misnik, A.E. Sharaburka, A.M. Zakharchenkov, K.V. National Research University 'MPEI' Branch in Smolensk Department of Computer Engineering Smolensk Russia Belarusian-Russian university Information Technology Software Department Mogilev Belarus

ISBN: (纸本)9798350371369

This article presents a comprehensive study on the utilization of data mining technologies and ontological approaches in the field of government procurement. It highlights the complexities involved in defining procurement object requirements and developing technical specifications, which vary significantly from case to case. The study underscores the need for procurement professionals to possess extensive knowledge across various sectors due to the diversity of goods, works, and services procured. The adoption of Intelligent Data Analysis is proposed as a solution to enhance the accuracy and efficiency of procurement processes. The research investigates the potential of automating ontology construction to facilitate decision-making in creating technical specifications. It examines the legal framework governing government procurement and explores the capabilities of the Unified information System for public procurement in Russia. The paper also describes the development of a typed ontology for public procurement, emphasizing the importance of an ontological approach in managing the large volume of multistructured information typical in procurement documentation. This approach is vital for the automated synthesis of necessary documents, offering significant support in decision-making processes. The article concludes with a detailed exploration of the ontological approach to document synthesis in government procurements. It outlines the process of selecting procurement subjects, conducting intellectual analysis of texts, and using intelligent data analysis techniques to ensure compliance with legal requirements. © 2024 IEEE.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Fast Distributed Polynomial Multiplication Algorithm for Lattice-based Cryptographic Decryption In Blockchain Systems 22

Fast Distributed Polynomial Multiplication Algorithm for Lat...

引用

22nd IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2024

作者： Zhao, Hongjian Tao, Yunting Kong, Fanyu Zhang, Guoyan Zhang, Hanlin Yu, Jia Shandong University School of Software Jinan China Binzhou Polytechnic College of Information Engineering Binzhou China Shandong University Shandong Sansec Information Technology Co. Ltd School of Software Jinan China Shandong University School of Cyber Science and Technology Qingdao China Qingdao University College of Computer Science and Technology Qingdao China

ISBN: (纸本)9798331509712

Lattice-based Post-Quantum Cryptography (PQC) can effectively resist the quantum threat to blockchain's underlying cryptographic algorithms. Blockchain node decryption is one of the most commonly used cryptographic computations in blockchain systems, and polynomial multiplication, a time-consuming operation for decryption, is one of the factors limiting blockchain efficiency. This paper proposes a novel distributed computing algorithm for polynomial multiplication, applicable in blockchain decryption. By splitting polynomials into lower-degree terms and delegating tasks to distributed nodes, our approach reduces computation time. A novel verification strategy based on the Karatsuba algorithm ensures result accuracy. The experimental results demonstrate that our proposed scheme improves the execution efficiency of NTT and INTT operations by approximately 47.8% and 52.4%, and reduces Kyber decryption time by up to 23.5%. © 2024 IEEE.

关键词： Encryption algorithms

来源：评论

学校读者我要写书评

暂无评论

Transforming Online Learning with CNN and NLP: Personalized Education 14

Transforming Online Learning with CNN and NLP: Personalized ...

引用

14th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2023

作者： Lathaharan, Abilash Ravendran, Danushan Varatharasa, Agash Thayaparan, Abinaya Kasthuriarachchi, Sanvitha Rajendran, Karthiga Sri Lanka Institute of Information Technology Department of Computer Science & Software Engineering New Kandy Road Malabe Sri Lanka SSri Lanka Institute of Information Technology Department of Information Technology New Kandy Road Malabe Sri Lanka

ISBN: (纸本)9798350304138

In the rapidly evolving landscape of online education, ensuring easy and healthy learning experiences has become paramount. This research paper presents 'Sparkle Edu,' an innovative application that integrates multiple components to address the unique challenges of online learning. The components include stress detection through facial emotions and drowsiness analysis, facial authentication with personalized course recommendations, an AI-powered mental health therapist utilizing voice-to-text input, and document reconstruction for damaged images to predict missing letters and words. Through the implementation of these components, Sparkle Edu aims to create an engaging and supportive platform that prioritizes students' well-being and promotes effective learning. This research contributes valuable insights into the advancement of online education, fostering a brighter and more accessible future for learners worldwide. © 2023 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A Code Transformation Approach to Enhance Code Cardinality Understanding 23

A Code Transformation Approach to Enhance Code Cardinality U...

引用

23rd International Arab Conference on information technology, ACIT 2022

作者： Jebreen, Isam Faculty of Information Technology Zarqa University Software Engineering Department Zarqa Jordan

ISBN: (纸本)9798350320244

Small and Medium-sized Enterprises (SMEs) have been recognized as universal and they have a vital effect on developing countries economies. However, to develop or maintain software systems for such SMEs, special structures should be considered for each type. In addition, to maintain existing software systems, software engineers face a big challenge while trying to understand their code first. To overcome such difficulties, several researchers have developed tools to support software maintenance engineers in understanding software code. They have set up different code interpretation rules to understand code structure such as classes, methods, attributes, and the relationships between classes. However, these tools lack the focus on transforming code cardinality. This paper proposes a code transformation approach to enhance the understandability of code structure with a focus on code cardinality. Therefore, a semi-automated approach that relies on five main transformation rules is introduced. To evaluate the effectiveness of this approach, two case studies were conducted using different project codes. The results show that compared to traditional approaches the proposed approach has decreased the time and effort consumed by developers to understand the investigated code. © 2022 IEEE.

关键词： Developing countries

来源：评论

学校读者我要写书评

暂无评论

Dynamic View Synthesis of Thin Structures with Short-term Movements from Monocular Videos Using Neural Radiance Fields 25

Dynamic View Synthesis of Thin Structures with Short-term Mo...

引用

25th International Conference on Digital Image Computing: Techniques and Applications, DICTA 2024

作者： Rajapaksha, Uchitha Laga, Hamid Diepeveen, Dean Bennamoun, Mohammed Sohel, Ferdous School of Information Technology Murdoch University MurdochWA Australia The University of Western Australia Dept. of Computer Science and Software Engineering CrawleyWA Australia

ISBN: (纸本)9798350379037

Learning to generate motions of thin structures such as plant leaves in dynamic view synthesis is challenging. This is because thin structures usually undergo small but fast, non-rigid motions as they interact with air and wind. When given a set of RGB images or videos of a scene with moving thin structures as input, existing methods that map the scene to its corresponding canonical space for rendering novel views fail as the object movements are too subtle compared to the background. Disentangling the objects with thin parts from the background scene is also challenging when the parts show fast and rapid motions. To address these issues, we propose a Neural Radiance Field (NeRF)-based framework that accurately reconstructs thin structures such as leaves and captures their subtle, fast motions. The framework learns the geometry of a scene by mapping the dynamic images to a canonical scene in which the scene remains static. We propose a ray masking network to further decompose the canonical scene into foreground and background, thus enabling the network to focus more on foreground movements. We conducted experiments using a dataset containing thin structures such as leaves and petals, which include image sequences collected by us and one public image sequence. Experiments show superior results compared to existing methods. Video outputs are available at https://***/. © 2024 IEEE.

关键词： Rendering (computer graphics)

来源：评论

学校读者我要写书评

暂无评论

Named entity recognition method of blockchain patent text based on deep learning 3

Named entity recognition method of blockchain patent text ba...

引用

3rd International Conference on Electronic information engineering, Big Data, and Computer technology, EIBDCT 2024

作者： Yang, Guangguang Niu, Sen Dai, Bingrong Zhang, Bofeng Li, Chao Jiang, Yangjing School of Computer and Information Engineering Institute for Artificial Intelligence Shanghai Polytechnic University Shanghai China Shanghai Development Center of Computer Software Technology Shanghai China

ISBN: (纸本)9781510680449

As blockchain technology research continues to advance, named entity recognition within blockchain patent texts has emerged as a fundamental cornerstone for various other tasks. In light of the absence of a publicly accessible corpus within the current realm of blockchain technology, as well as the challenges posed by insufficient text semantic expression, the dearth of semantic features, and the intricacies associated with capturing diverse word vector representations. This paper us of annotated blockchain patent texts and proposes the MBBC MacBert-BiLSTM-CRF MBBC model for named entity recognition in blockchain patents. The model employs embedding the feature layer to vectorize the input text, enriching text information and mitigating polysemy issues. Text feature information is acquired through the long short-term memory network, and the conditional random field model is integrated to enforce label relationships, yielding an optimal label sequence. In this study, the accuracy rate of BAT (Blockchain Application technology, BAT) on the self-constructed corpus achieves 91%, with a recall rate of 96% and an Fl value of 93%, representing a notable enhancement compared to mainstream models. Ablation experiments further demonstrate that the model in this paper effectively performs named entity recognition tasks associated with blockchain technology and subject content. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Joint-Wise Distributed Perception Graph Convolutional Network for Skeleton-Based Action Recognition

Joint-Wise Distributed Perception Graph Convolutional Networ...

引用

2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Huang, Qian Geng, Qiang Chen, Zhaoyu Li, Xin Li, Yangyang Li, Xing College of Computer Science and Software Engineering Hohai University China College of Information Science and Technology & Artificial Intelligence Nanjing Forestry University China

ISBN: (纸本)9798350368741

Recent studies have achieved remarkable results for action recognition with human skeletal data by utilizing graph convolutional models. Traditional approaches typically aggregate local spatio-temporal information bottom-up to form a single spatio-temporal global understanding. However, this method may fail to achieve multi-location perception for fine-grained action capture and may struggle to model subactions due to their varying durations. To solve these challenges, we design a Distributed Spatio-temporal Perception (DSP) module that innovatively treats each joint as an independent perception unit, performing joint-wise distributed multi-location perception in both spatial and temporal dimensions. In addition, we introduce an Anchor Pose-driven Subaction Encoding (APSE) module, which enhances informative clues for subaction reasoning through identifying the correlations between anchor pose and subactions formed by integrating distributed spatio-temporal perception features. Based on the above work, we propose a Joint-wise Distributed Perception Graph Convolutional Network (JDP-GCN). The experiments on three widely used datasets: NTU RGB+D 60, NTU RGB+D 120, and NW-UCLA, demonstrate that our method achieves state-of-the-art performance. © 2025 IEEE.

关键词： Distributed Perception Graph Convolutional Network Human Action Recognition Skeleton Modality

来源：评论

学校读者我要写书评

暂无评论

ASIMSA: Advanced Semantic information Guided Multi-Scale Alignment Framework for Medical Vision-Language Pretraining 9

ASIMSA: Advanced Semantic Information Guided Multi-Scale Ali...

引用

9th IEEE International Conference on Computational Intelligence and Applications, ICCIA 2024

作者： Xiao, Shuai Zhang, Yangyang Jiang, Liming Wang, Zhengxia School of Computer Science and Technology Hainan University China School of Information and Communication Engineering Hainan University China Software Co. Ltd. China

ISBN: (纸本)9798350352214

Medical Visual Language Pretraining (MVLP) utilizes textual reports for weak supervision to improve the learning of medical visual representations, showing promise in various medical image analysis tasks. While previous studies have focused on image and report correspondences within the same instances, they have overlooked high-level semantic associations, such as disease-level semantic correspondences, across different instances. To address this issue, we propose an Advanced Semantic information Guided Multi-Scale Alignment Framework (ASIMSA) with two main modules: 1) Image-Report Alignment (IRA) module for learning shared representations between image and report of the same instance, and 2) Disease-Entity Alignment (DEA) module for learning disease entity correspondences across different instances. Extensive experiments on zero-shot classification, fine-tune classification, and semantic segmentation tasks validate the effectiveness of our proposed method, demonstrating its stable and superior performance. © 2024 IEEE.

关键词： Semantic Segmentation

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：