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A Comparative Analysis of Optimizing Medical Insurance Prediction Using Genetic Algorithm and Other Machine Learning Algorithms 2

A Comparative Analysis of Optimizing Medical Insurance Predi...

引用

2nd IEEE international conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2023

作者： Mary Chittilappilly, Rose Suresh, Sanjana Shanmugam, Shanthini St. Joseph's College of Engineering Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350315905

In this paper, an analysis is conducted on different machine learning strategies to predict medical insurance charges using demographic and health-related information on individuals. Each algorithm was trained and tested on a preprocessed dataset, and the performance of various models is compared, including linear regression, random forest, gradient boosting, LassoLarsCV, and a model created with automated machine learning using TPOT, which makes use of genetic programming for optimization. Conclusively, the results bring to light that the TPOT-generated model, which is a combination of LassoLarsCV and GradientBoostingRegressor, performed better than the other models, attaining a root mean square error of 0.0686 and an accuracy of 87.45% on the test set. These findings suggest that automated machine learning techniques and metaheuristic optimization, as was used in TPOT, can bring improvement to the performance of existing medical insurance cost prediction models. © 2023 IEEE.

关键词： Genetic algorithms

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Multi-Modal Ship Object Detection in Optical and SAR Images 2

Multi-Modal Ship Object Detection in Optical and SAR Images

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2nd IEEE international conference on Image Processing and Computer Applications, ICIPCA 2024

作者： Wang, Yong Li, Ling Tan, Xiao Ji, Bing Naval University of Engineering Department of Operational Research and Programming Wuhan China Engineering College of Field Engineering The Army Engineering University of Pla Nanjing China Naval University of Engineering Department of Navigation Wuhan China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350360240

Ship object detection is one of the key technologies in the fields of maritime traffic monitoring, maintenance of maritime rights and interests, and coastal defense early warning detection. Optical remote sensing data contains rich texture information, which is conducive to target recognition, but it is highly depends on light and can only be used during the day. The influence of light on synthetic aperture radar (SAR) data is negligible, so it can be used all-weather, but it is difficult to accurately distinguish ship targets due to the lack of texture information. In order to comprehensively utilize two different data and fully leverage their respective advantages, a multimodal ship object rotated detection algorithm is proposed. Feature extraction is conducted separately for optical and SAR data, and an intermediate fusion strategy is adopted to achieve the fusion and detection of optical and SAR features. The introduction of CBAM (Convolutional Block Attention Module) in the backbone facilitates automatic identification of the weight of each feature channel during the learning process, which enhances the effect of feature extraction and suppresses noise and irrelevant information. The proposed multimodal detection algorithm has been validated on the constructed QXS-SAROPT-SHIP dataset. Compared with typical horizontal bounding box detection and single-modal detection algorithms, the accuracy rate of the proposed multimodal detection algorithm has been significantly improved. Specifically, the accuracy of the multimodal detection algorithm with CBAM module has been increased by 1.73%, demonstrating the effectiveness of the proposed method. © 2024 IEEE.

关键词： Optical remote sensing

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Exploring the Potential of Interplanetary File System for Secure and Transparent Social Media 2

Exploring the Potential of Interplanetary File System for Se...

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2nd IEEE international conference on Vision Towards Emerging Trends in Communication and Networking Technologies, ViTECoN 2023

作者： Pandey, Shivam Sinha, Mayank Ramya, G. SRM Institute of Science and Technology Department of Computing Technologies Kattankulathur Chennai India SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Kattankulathur Chennai India

ISBN: (纸本)9798350347982

A new social media platform will be developed that utilizes blockchain technology to ensure user privacy and security. The platform will use the user's meta-mask wallet ID, which cannot be hacked, to connect to their profile on the blockchain, providing an immutable and tamper-proof ledger for their data. The platform will also allow for cryptocurrency transactions, which are secured by cryptography and do not require a centralized intermediary, adding another layer of security. Smart contracts will be used to enable decentralized and automated crowd funding and giveaways, among other features. The smart contracts will be designed using Solidity, a programming language specific to the Ethereum blockchain. When a user creates an account on the platform, their meta-mask wallet ID will be used for user identification and to verify transactions, ensuring that every transaction is validated by the blockchain. © 2023 IEEE.

关键词： Blockchain

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Uplink interference mitigation technology for NGSO constellation systems based on optimal spatial isolation Angle 2

Uplink interference mitigation technology for NGSO constella...

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2nd international conference on Computer science, Electronic Information engineering and Intelligent Control Technology, CEI 2022

作者： Zhang, Yuqiao Wu, Di Hu, Tao School of Cyber Science and Engineering Zhengzhou University Zhengzhou China College of Data Target Engineering Information Engineering University Zhengzhou China

ISBN: (数字)9781665476164

ISBN: (纸本)9781665476164

In this paper, we study the frequency coexistence problem between NGSO constellation systems of global distributed earth stations, and propose a specific method to mitigate uplink interference of NGSO constellation systems by optimizing the access strategy of earth stations to achieve the optimal spatial isolation Angle, and find the optimal spatial isolation Angle by solving a nonlinear programming problem. Simulation results show that the proposed method reduces the cumulative probability of harmful interference time between NGSO constellation systems while ensuring the received signal level. © 2022 IEEE.

关键词： Nonlinear programming

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Utilising the Internet of Things to Enhance Customer Relationship Management in the field of Digital Marketing 2

Utilising the Internet of Things to Enhance Customer Relatio...

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2nd IEEE international conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Usman, Mohammed Gangadharan, S. Muralidhar, L.B. Murugesh, M.K. Gunday, Isac Tiwari, Mohit University of Nizwa College of Economics Management and Information Systems Department of Management Oman St. Joseph's College of Engineering Department of Management Studies Chennai India School of Commerce Department of Business Management Studies Karnataka Bengaluru India K.L. University Hotel Management Andhra Pradesh Vijayawada India Jecrc University Jaipur School of Business Jaipur India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering Delhi India

ISBN: (纸本)9798350384277

An increasing number of consumers are eager to invest in and benefit from the IoT. Research indicates that by 2020, there will be over 30 billion connected devices, and by 2024, the market for IoT systems is projected to reach $7.6 billion. This paper will focus on the ways in which internet of things (IoT) data could enhance customer relationship management (CRM). An empirical examination was conducted using research methods that utilised qualitative conversations with twelve CRM or innovation marketing experts in 2020 who actually had been engaged with retailer IoT projects. According to the results, companies can anticipate their client's actions and better meet their needs by analysing stored data. Furthermore, due to their lack of knowledge about programming and interaction options, the majority of organisations simply require the establishment of a conventional CRM system. This allows for the integration of data collected from particular IoT devices with data collected from other sources as well. When all of these moving parts are in sync, it's much easier to understand what the client preferences, requirements, and the products or services they're planning to buy. © 2024 IEEE.

关键词： Sales

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MS-MH-TCN: Multi-Stage and Multi-Head Temporal Convolutional Network for Action Segmentation 1

引用

2nd international conference on Cognitive Computation and Systems, ICCCS 2023

作者： Kang, Zengxin Chu, Zhongyi School of Instrumentation and Optoelectronic Engineering Beihang University Beijing100083 China

ISBN: (数字)9789819708857

ISBN: (纸本)9789819708840

The segmentation of manual action in long video has important application value in the fields of demonstration programming and human-computer interaction. The state-of-the-art manual action segmentation method uses multi-stage temporal convolution. Although it can capture the long temporal dependence between actions, there are still excessive segmentation errors in the predicted results. In this paper, we propose a multistage and multi-head temporal convolutional network (MS-MH-TCN) for improving the performance on the action segmentation task. A multi-head calculation is performed at each stage, and the results of the multi-head are pooled to average and fed into the next stage. This approach improves the model’s prediction and generalization of input information, because different heads can focus on different aspects of the input and can adapt to learn how to combine them to generate final action predictions. We also propose a new segment smoothing loss function to punish over-segmentation errors. An extensive evaluation showed the effectiveness of the proposed model in capturing long-term dependencies and identifying action segments. Our model achieved the most advanced results on the 50salad dataset. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Convolution

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Research in Big Data Analytics Utilizing Simulations 2

Research in Big Data Analytics Utilizing Simulations

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2nd international conference on Applied artificial Intelligence and Computing, ICAAIC 2023

作者： Vignesh, P. Srinivasan, S. Maragathasundari, S. Karthikeyan, K. Swedheetha, C. Kameswari, M. B.S. Abdur Rahman Crescent Institute of Science and Technology Department of Mathematics Tamilnadu Chennai India Kalasalingam Academy of Research and Education Department of Mathematics Tamilnadu Krishnankoil India Anna University Regional Campus Department of Electronics and Communication Engineering Tamilnadu Madurai India

ISBN: (纸本)9781665456302

Using simple programming approaches, the Apache Hadoop software facilitates the processing of massive data streams by a multitude of processors deployed across clusters of devices using straightforward programming techniques. One single computer will be replaced in the future by tens of billions of devices, each with a unique capacity for processing data. The library is designed to recognize and handle protocol stack failures rather than relying on hardware for automated failover, enabling a massively scalable service to be offered on top of numerous servers that might all fail. Physically, it is impossible to fully implement the existing error-prone design technique. Thus, the queueing theory is used to assess the strategy used in this design. The supplemental variable strategy is used to solve the queuing issue that results from the afore-mentioned. For various execution strategies, calculations are done on the queue size, server idle time, server utilisation, and probability generating methodologies. Numerical analysis was used to explore a number of unusual circumstances. Because of this procedure's actual application and statistical separation, it is completely legal. The graphical representation of this point of view gives a brief reading of the proposed borders. © 2023 IEEE.

关键词： Big data

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PHP: Vulnerabilities and Solutions 2

PHP: Vulnerabilities and Solutions

引用

2nd international Mobile, Intelligent, and Ubiquitous Computing conference, MIUCC 2022

作者： Yenduri, Ramadevi Al-Khassaweneh, Mahmood Lewis University Engineering Computing and Mathematical Sciences Department RomeovilleIL United States

ISBN: (纸本)9781665466776

The vulnerabilities are found not only in the programming language syntax and core but also in the coding style of the programmer. It is necessary to welcome good coding practice with security in mind for every programmer and programming language student. In this work, a 5-steps model is proposed that can improve the coding style of the programmers and also help build secure web applications. This paper concentrates on practical implementation of server-side and client-side vulnerabilities and their solutions backed by two web applications developed using PHP. The first web application follows poor programming practice whereas the second web application follows 5-steps model with other recommendations. Both of the web applications were scanned using open source 'man-in-the-middle' proxy tool and the outcome showed that following 5-steps model and using latest programming constructs and functions improve the coding practice dramatically and results in a secure web application. © 2022 IEEE.

关键词： Computer languages Codes programming Writing Syntactics Ubiquitous computing Encoding

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A Survey of Resource Management in IoT Data Centre: Techniques and Open Issues 2

A Survey of Resource Management in IoT Data Centre: Techniqu...

引用

2nd international conference on Innovative Sustainable Computational Technologies, CISCT 2022

作者： Priya, V. Sathya Sharma, Harshit Singh, Neeraj Kumar Dubey, Nilesh Kumar, S. Sampath Singh, Prabhishek B v Raju Institute of Technology Narsapur India Jecrc University Jaipur India University-Jaipur Engineering College and Research Centre Rajasthan Jaipur India Charotar University of Science and Technology Devang Patel Institute of Advance Technology and Research Gujarat India Sri Eshwar College of Engineering Tamil Nadu Coimbatore India Bennett University Greater Noida India

ISBN: (纸本)9781665474160

In cloud computing is a sort of registering which can be considered as another period of processing. Cloud can be considered as a quickly arising new worldview for conveying figuring as a utility. High-level records technological know-how (IT) security, or cybersecurity, concerns like unauthorized records publicity and leaks, vulnerable get entry to controls, susceptibility to attacks, and availability disruptions affect regular IT and cloud structures alike. In any case, due to the accessibility of limited assets it is truly challenging for cloud suppliers to offer every one of the requested types of assistance. IoT is the between-systems administration of substantial gadgets, vehicles, developments, and various contraptions implanted with hardware, programming, sensors, actuators, and local area availability that permit these items to assemble and change data. Advances to the modern net will be sped up through extended local area dexterity, worked in manufactured cerebrum (AI), and the capacity to convey, robotize, organize, and firmly shut different use cases at hyper-scale. © 2022 IEEE.

关键词： Access control

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A Novel Approach on Improved Segmentation and Classification of Remote Sensing Images using AlexNet Compared over Linear Discriminant Analysis with Improved Accuracy 2

A Novel Approach on Improved Segmentation and Classification...

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2nd IEEE international conference on Advances in Information Technology, ICAIT 2024

作者： Reddy, K. Venkata Vinay Kumar Vimal, V.R. Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu India

ISBN: (纸本)9798350383867

Image classification involves the analysis and categorization of specific objects within photographs. This study aims to compare the effectiveness of two distinct image segmentation classifiers used in the image segmentation process. Image segmentation is critical across various fields, including defense, agriculture, environmental monitoring, and flood assessment. It is essential for isolating and identifying small areas of interest from ground-based images. In this study, a test dataset was created by randomly selecting one image from each of five different locations out of 400 satellite images, converting them into bitmap format. A total of 10 iterations were conducted using these 400 images collected from five locations, with images captured from various angles. In the process of image classification, the remote sensor image was segmented using the Linear Discriminant Analysis (LDA) along with the AlexNet framework. The integration of Python programming made the development of this research to occur through analysing images from the ORL Kind Image Database. Outcomes show that AlexNet was able to give an accuracy of 93.70%, compared to 95.80% for LDA. The result of the academic self-esteem independent samples t-test is as follows: t(102) = 2.34 two-tailed p = 0 300 (α = 0.001) and at 95 percent confidence level, it was possible to conclude statistical significance of both the techniques. It is possible to conclude that the new AlexNet framework is superior to the LDA classifier for image segmentation, with-time processing in the faster phase roughly, 0.5 seconds. © 2024 IEEE.

关键词： Image segmentation

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