检索结果-内蒙古大学图书馆

A novel image descriptor based on dot-diffused block truncation coding with bit probability

Journal of Ambient Intelligence and Humanized Computing 2023年第11期14卷 14841-14858页

作者： Riyono, Dwi Sun, Chi-Chia Guo, Jing-Ming Wong, KokSheik Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical Engineering National Formosa University Yunlin Huiwei Taiwan Faculty of Computer Science and Information Technology Monash University-Malaysia Campus Kuala Lumpur Malaysia

With the advent of mobile smart devices and ubiquitous network connections, digital images can now be conveniently captured, edited, and shared online worldwide. The ever-increasing number of pictures poses a technically challenging, yet unavoidable problem of efficiently and accurately finding a desired image. In this work, we develop a new image retrieval system based on an image compression technique, namely dot-diffused block truncation coding (DDBTC) with bit probability. Specifically, the color feature derived from color distribution and the bitmap feature (BF) derived from both edges and textures jointly describe the image. The degree of similarity between two images is then measured by their respective color and BFs by using the modified Canberra distance metric. Experimental results show that the proposed feature descriptor achieves superior image retrieval performance as compared to the former DDBTC image retrieval feature and conventional non-DDBTC based features. Additional experiments on image classification verify that the proposed feature descriptor outperforms conventional image classification methods. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Model to Predict the Breast Cancer using Stacking and Bagging Model 3

A Hybrid Model to Predict the Breast Cancer using Stacking a...

引用

3rd IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Yuvalatha, S. Nithyapriya, S. Prabhavathy, S. Priyadharshini, R. Savitha, S. Kayathri, S. Bannari Amman Institute of Technology Department of Computer Science and Business Systems Sathyamangalam India Bannari Amman Institute of Technology Department of Artificial Intelligence and Data Science Sathyamangalam India Christ the King Engineering College Department of Electronics and Communication Engineering Coimbatore India Sri Ranganathar Institute of Engineering Department of Computer Science and Engineering Coimbatore India PSR Engineering College Department of Computer and Science and Engineering Sivakasi India

ISBN: (纸本)9798350317022

Breast cancer is a malignant tumor that develops in the cells of the breast tissue. Breast cancer is one of the major causes of death for women globally. In the examination of medical data, breast cancer prediction is a difficult task. To make decisions and accurately distinguish between benign and malignant tumors, physicians and pathologists need certain automated technologies. In this paper, hybrid ensemble technique (Bagging and Stacking) is used to predict the breast tumors as benign and malignant tumors. In the proposed work, the subset of data is created from the initial Wisconsin (Diagnostic) Data Set by bootstrapping technique. Each bootstrap dataset is used to train the weak learner. The weak learners are K-Nearest Neighbors (KNN) Random Forest (RF), Decision Tree (DT) and Support Vector Machine (SVM). The Logistic Regression (LR) is used as the Meta Learner. The Meta Learner uses the predictions of weak learners as its training data. The proposed hybrid ensemble model obtains an accuracy 98.7%, Precision 98.83%, Recall 98.54%, F1 Score 98.68% and 0.012% error. © 2023 IEEE.

关键词： Bagging Bootstrapping Ensemble Malignant Meta Learner Stacking

来源：评论

学校读者我要写书评

暂无评论

Dual objective bandit for best channel selection in hybrid band wireless systems

引用

Journal of Ambient Intelligence and Humanized Computing 2023年第4期14卷 4115-4125页

作者： Hashima, Sherief M. Fouda, Mostafa Hatano, Kohei Kasban, Hany Mohamed, Ehab Mahmoud Fukuoka819-0395 Japan Engineering Department Nuclear Research center Egyptian Atomic Energy Authority Inshas Cairo13759 Egypt Electrical and Computer Engineering Department College of Science and Engineering Idaho State University PocatelloID83209 United States Faculty of Arts and Science Kyushu University Fukuoka819-0395 Japan Electrical Engineering Department College of Engineering Prince Sattam Bin Abdulaziz University Wadi Addwasir13759 Saudi Arabia Electrical Engineering Department Faculty of Engineering Aswan University Aswan81542 Egypt

This paper manipulates a creative online learning solution for optimal band/channel assignment in hybrid radio frequency and visible light communication (RF/VLC) systems. Typically, the multiband transmitter (Tx) has no prior information about different channel characteristics including their payoffs (achievable data rate) and energy consumption outcome. Practically, Tx has to choose the best reward arm/band with the lowest energy consumption to prolong its limited battery capacity. Hence, we envision a lightweight cost-aware multi-armed bandit (CA-MAB) as a proper realistic solution to the cumbersome and slowly convergent ordinary band assignment methods, where the transmitter/player intends not only to maximize his cumulative payoff (achievable data rate) but also to mitigate his cost (battery consumption due to the utilized band). Therefore, we propose a dual objective MAB scheme to manage such problem intelligently. Numerical simulations indicate that proposed method outperforms naive MAB versions, including Thompson sampling (TS), Upper Confidence bound (UCB), and traditional hybrid band selection (HBA) approaches, correspondingly. Especially, our proposed algorithm delivers 99% of the optimal performance concerning energy consumption, achievable data rate, and convergence speed. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Millimeter waves

来源：评论

学校读者我要写书评

暂无评论

Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems:A Medical Case Study

引用

Journal of Bionic engineering 2024年第1期21卷 409-425页

作者： Adel Got Djaafar Zouache Abdelouahab Moussaoui Laith Abualigah Ahmed Alsayat Faculty of informatics University of Science and Technology Houari BoumedieneAlgiersAlgeria LRIA Laboratory University of Science and Technology Houari BoumedieneAlgiersAlgeria Computer Science Department University of Mohamed El Bachir El IbrahimiBordj Bou ArreridjAlgeria Computer Science Department University of Ferhat AbbasSetifAlgeria Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl al-Bayt UniversityMafraq 25113Jordan Department of Computer Science College of Computer and Information SciencesJouf UniversityJoufSaudi Arabia Department of Electrical and Computer Engineering Lebanese American University13-5053ByblosLebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Research Unit Middle East UniversityAmman 11831Jordan Applied science research center Applied science private universityAmman 11931Jordan School of Computer Sciences Universiti Sains Malaysia11800 PenangMalaysia School of Engineering and Technology Sunway University Malaysia27500 Petaling JayaMalaysia

Support Vector Machine(SVM)has become one of the traditional machine learning algorithms the most used in prediction and classification ***,its behavior strongly depends on some parameters,making tuning these parameters a sensitive step to maintain a good *** the other hand,and as any other classifier,the performance of SVM is also affected by the input set of features used to build the learning model,which makes the selection of relevant features an important task not only to preserve a good classification accuracy but also to reduce the dimensionality of *** this paper,the MRFO+SVM algorithm is introduced by investigating the recent manta ray foraging optimizer to fine-tune the SVM parameters and identify the optimal feature subset *** proposed approach is validated and compared with four SVM-based algorithms over eight benchmarking ***,it is applied to a disease Covid-19 *** experimental results show the high ability of the proposed algorithm to find the appropriate SVM’s parameters,and its acceptable performance to deal with feature selection problem.

关键词： Support vector machine Parameters tuning Feature selection Bioinspired algorithms Manta ray foraging optimizer

来源：评论

学校读者我要写书评

暂无评论

Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks

引用

computer systems science & engineering 2023年第1期44卷 845-858页

作者： Muhammad Shahzeb Ali Ali Alqahtani Ansar Munir Shah Adel Rajab Mahmood Ul Hassan Asadullah Shaikh Khairan Rajab Basit Shahzad Department of Computer Science Institute of Southern PunjabMultan5932Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajran61441Saudi Arabia Department of Engineering National University of Modern LanguagesIslamabad44000Pakistan

Throughout the use of the small battery-operated sensor nodes encou-rage us to develop an energy-efficient routing protocol for wireless sensor networks(WSNs).The development of an energy-efficient routing protocol is a mainly adopted technique to enhance the lifetime of *** routing protocols are available,but the issue is still *** is one of the most important techniques in the existing routing *** the clustering-based model,the important thing is the selection of the cluster *** this paper,we have proposed a scheme that uses the bubble sort algorithm for cluster head selection by considering the remaining energy and the distance of the nodes in each ***,the bubble sort algorithm chose the two nodes with the maximum remaining energy in the cluster and chose a cluster head with a small *** proposed scheme performs hierarchal routing and direct routing with some energy *** simulation will be performed in MATLAB to justify its performance and results and compared with the ECHERP model to justify its ***,the simulations will be performed in two scenarios,gate-way-based and without gateway to achieve more energy-efficient results.

关键词： Bubble sort algorithm gateway energy thresholds wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Optimized Resource Allocation and Queue Management for Traffic Control in MANET

引用

computer systems science & engineering 2023年第5期45卷 1323-1342页

作者： I.Ambika Surbhi Bhatia Shakila Basheer Pankaj Dadheech Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveli627152Tamil NaduIndia Department of Information College of Computer Science and Information TechnologyKing Faisal University36362Saudi Arabia Department of Information Systems College of Computer and Information SciencePrincess Nourah Bint Abdulrahman UniversityP.O.BOX 84428Riyadh11671Saudi Arabia Department of Computer Science&Engineering Swami Keshvanand Institute of TechnologyManagement&Gramothan(SKIT)Jaipur302017RajasthanIndia

A set of mobile devices that employs wireless transmission for communication is termed Mobile Ad hoc Networks(MANETs).Offering better communication services among the users in a centralized organization is the primary objective of the *** to the features of MANET,this can directly End-to-End Delay(EED)the Quality of Service(QoS).Hence,the implementation of resource management becomes an essential issue in *** paper focuses on the efficient Resource Allocation(RA)for many types of Traffic Flows(TF)in *** Mobile Ad hoc Networks environments,the main objective of Resource Allocation(RA)is to process consistently available resources among terminals required to address the service requirements of the *** three categories improve performance metrics by varying transmission rates and simulation *** solving that problem,the proposed work is divided into Queue Management(QM),Admission Control(AC)and *** effective QM,this paper develops a QM model for elastic(EL)and inelastic(IEL)Traffic *** research paper presents an AC mechanism for multiple TF for effective *** work presents a Resource Allocation Using Tokens(RAUT)for various priority TF for effective ***,nodes have three cycles which are:Non-Critical Section(NCS),Entry Section(ES)and Critical Section(CS).When a node requires any resources,it sends Resource Request Message(RRM)to the *** and inelastic TF priority is determined using Fuzzy Logic(FL).The token holder selects the node from the inelastic queue with high priority for allocating the *** Network Simulator-2(NS-2),simulations demonstrate that the proposed design increases Packet Delivery Ratio(PDR),decrease Packet Loss Ratio(PLR),minimise the Fairness and reduce the EED.

关键词： MANET resource allocation end-to-end delay fuzzy logic QoS

来源：评论

学校读者我要写书评

暂无评论

Forecasting Machine Learning Based Feature Selection for Dengue Prediction in the Early Stage 3

Forecasting Machine Learning Based Feature Selection for Den...

引用

3rd IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Archana, T. Faritha Banu, J. SRM Institute of Science and Technology Bharathi Salai Ramapuram Faculty of Engineering and Technology Department of Computer Science and Engineering Tamilnadu Chennai India

ISBN: (纸本)9798350317022

Dengue fever is rapidly becoming a prominent health concern issue affecting the tropical and sub-tropical regions. This disease can cause serious illness in humans and is spread by bleed-feeding arthropods such fleas, parasites and mosquitoes. This disease is now becoming endemic in many nations. Delayed diagnosis accompanying with unsuitable treatment may result in the risk of death. This study's objective is to inquire into the effects, signs and clinical symptoms allied with dengue. The proposed work's objective is to examine the symptoms relating to Dengue through Statistical and Analytical measures. Machine learning Classification algorithms such as Random Forest, CART and Support Vector Machine are applied to identify the significant symptoms. The symptoms from both the measures are analyzed, ranked and finally grouped as primary symptoms. The performance of the classifier is assessed using performance evaluation measures. The experimental results show that CART is more suitable for proposed prediction model for Dengue with accuracy 97%, precision 98.3%, recall 96.8% and F-measure metrics 97.5%. © 2023 IEEE.

关键词： CART Dengue Machine Learning Random Forest Support Vector Machine

来源：评论

学校读者我要写书评

暂无评论

Security Management of Autonomous Transportation Services in the Tourism Industry 1

引用

9th International Conference on Cyber Security, Privacy in Communication Networks, ICCS 2023

作者： Thayananthan, Vijey Qasem, Mamoun Qureshi, Muhammad Shuaib Qureshi, Muhammad Bilal Cybersecurity Department Faculty of Computing Engineering and Science University of South Wales Cardiff United Kingdom Department of Computer Science and Engineering Chungnam National University Daejeon Korea Republic of Department of Computer Science and IT University of Lakki Marwat Taja ZaiKPK 28420 Pakistan

ISBN: (数字)9789819739738

ISBN: (纸本)9789819739721

Autonomous vehicles, lifestyles, and businesses related to the tourism industry are facing a lot of security issues when the digital revolution is considered in the digital version of security management. The aim of this research is to design and develop an efficient framework with security management (SM) and incidence response (IR) for securing autonomous transportation services (ATS). In the SM and IR, the quality of secure ATS and quickness will be considered. To achieve the objective of the research, service encounters (a form of social exchange) through social networks and digital transformation are used as a method. Service encounters based on emerging technology are the best approach because these future services evolve with emerging technologies, which depend on digital transformation and revolution. When the digital age matures in the tourism industry, users are transformed to use digital devices integrated within autonomous transportation systems. Although the legacy of digital systems is still considered in transportation services, the problems of digital transformation create complicated situations for many tourists because service providers transform their ATS from traditional management to digital management, such as the digital transformation of tourism management with security. Many ATS upgrades of digital transformation in tourism management, which prevent the use of service encounters and accessing necessary services at the time, are challenging problems. As a result, this research study will indicate that the SM and IR can be improved through the proposed framework. The proposed framework will provide essential security management and incident response to the users. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Leisure

来源：评论

学校读者我要写书评

暂无评论

Gaps in value-driven connectivity: A case study on connectivity challenges in Northern Europe 35

Gaps in value-driven connectivity: A case study on connectiv...

引用

35th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2024

作者： Karppinen, Pasi Bandaranayake, Sameera Haukipuro, Lotta Elmistikawy, Yomn Saarnisaari, Harri University of Oulu Faculty of Information Technology and Electrical Engineering Oulu Finland University of Oulu Faculty of Science Oulu Finland Luleå University of Technology Electrical and Space Engineering Department of Computer Science Luleå Sweden

ISBN: (纸本)9798350362244

Well-working Internet connectivity is a fundamental citizen right and a necessity in modern digital societies. Nevertheless, the digital divide persists and often affects rural or remote areas. To bridge the digital divide, we need to understand the specific rural use cases and challenges. This would increase understanding about problems weak Internet connectivity causes, what is required from the connectivity technology and what is needed from policymakers and regulation. The goal of this paper is to identify rural use cases and analyze consequences to future connectivity technology through a mixed-methods approach: we investigated the divide and its consequences by a questionnaire and interviews conducted in northern Europe. The study found that the main issues faced by rural internet users are related to capacity, availability, and vulnerability of internet services. These issues hinder their daily life, work activities, and expose them to system-level risks. The article discusses how these findings can inform the development of more inclusive and resilient internet connectivity solutions. © 2024 IEEE.

关键词： digital divide mobile communication rural connectivity social sustainability

来源：评论

学校读者我要写书评

暂无评论

Human-Robot Interaction on Elderly Companion Robot Development Using Dual Intent Entity Transformer 7

Human-Robot Interaction on Elderly Companion Robot Developme...

引用

7th International Conference on Information Technology, Information systems and Electrical engineering, ICITISEE 2023

作者： Rauf, Naufal Haidar Santoso, Heru Agus Universitas Dian Nuswantoro Faculty of Computer Science Department of Informatics Engineering Semarang Indonesia

ISBN: (纸本)9798350382266

The growing elderly population and the increasing demand for nursing home care have led to a need to improve the quality of life for residents. A popular solution is developing a companion robot to assist residents with various tasks and provide human-like interaction. In this paper, we present the prototype of a companion robot currently website-based, equipped with a Dual Intent Entity Transformer to understand what the user wants. The results of the study show the prototype is capable of classifying user messages according to their appropriate intent with precision, recall, F-score, and accuracy on average 91 %, 91 %, 90%, and 87% respectively using privately owned dataset. Future works such as expanding the robot's insight and tuning the model would improve the service provided by the companion robot. © 2023 IEEE.

关键词： Human robot interaction

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：