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Developing an Effective Model for Skin Disease Detection: Techniques and Approaches

Developing an Effective Model for Skin Disease Detection: Te...

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Advancement in Electronics & Communication Engineering (AECE), international conference on

作者： Nikhil Kumar Yadav Amit Tiwari Gaurav Harsh Kumar Verma Arpna Saxena Ajay Kumar Garg Engineering College Varanasi India Ajay Kumar Garg Engineering College Muzaffarpur India Ajay Kumar Garg Engineering College Meerut India Ajay Kumar Garg Engineering College Ghaziabad India Master of Computer Application Ajay Kumar Garg Engineering College Ghaziabad India

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

this research highlights the critical role of the skin as the body's primary defense against damage and infection. Despite its importance, the skin can be vulnerable to serious infections caused by fungi, viruses, or even dust, leading to conditions ranging from acne to eczema. Some skin diseases are highly contagious and can be spread by simple contact, underscoring the need for proper diagnosis and treatment to alleviate suffering and prevent transmission. the study focuses on developing a prototype for identifying skin diseases using convolutional neural networks (CNNs), a choice based on their effectiveness in image processing tasks. this research uses CNNs to classify specific skin conditions, including hand dermatitis, hand eczema, subacute eczema, lichen simplex, stasis dermatitis, and ulcers are all different skin conditions.. the methodology integrates image processing techniques with machine learning and uses the processed images to train a CNN model. the training data consists of five classes of skin conditions from the Dermnet dataset, which includes 19600 images. the prototype achieved an accuracy of 92%, highlighting the system's potential. Research suggests that with further improvements and a larger data set, the system could significantly improve early detection and treatment of skin ailments representing a substantial advance in dermatology care.

关键词： Deep learning Adaptation models Accuracy Computational modeling Dermatology Eczema Transformers Skin Convolutional neural networks Diseases

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Research on the application of Interactive Media Technology in General Education in the Post-epidemic Era 21

Research on the Application of Interactive Media Technology ...

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proceedings of the 2021 4th international conference on E-Business, Information Management and computer Science

作者： Liu Dan Wuhan Business University China

ISBN: (纸本)9781450395687

this article summarizes online teaching and its development process, combs the current status of online teaching, and paves the way for the popularization of online teaching during the epidemic. A horizontal analysis and a vertical analysis are carried out on the general education interaction as a whole. In the horizontal analysis, the mode of general education interaction is mainly analyzed. In the longitudinal analysis, all the teaching modes are integrated to analyze the interactive hierarchical tower of general education from a longitudinal perspective. this article proposes to establish an online learning community to promote the development of interaction, which creatively analyzes the relationship between social constructivism, online learning community and general education interaction. According to the implementation of network teaching policies in various countries, we start from the practice of network teaching for college students and rely on relevant theories to divide network teaching elements into subject, object, channel, content, and effect, so as to draw an online teaching model diagram, and carry out around the model diagram. this article is based on the theory of spreading modes, combined with the actual analysis of the online teaching process framework during the epidemic. through interviews, network ethnography and other methods, under the relevance theory of learning, we examine the various elements of teaching activities function. Starting from the three aspects of teaching content, methods, and evaluation, it comprehensively analyzes the specific practical effects of online teaching during the epidemic, hoping to pave the way for the development of the online teaching industry in the post-epidemic era.

关键词： Effectiveness Analysis

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Research on the application of Business Data Fusion in the Engineering Management of Oil and Gas Storage and Transportation Station 23

Research on the Application of Business Data Fusion in the E...

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proceedings of the 2023 4th international conference on computer Science and Management Technology

作者： Rui Xie Bo Fan Jianlin Ma Meng Pan Southwest Pipeline Ltd. China School of Computing and Artificial Intelligence Southwest Jiaotong University China Chengdu Aerospace Science & Industry Big Data Institute Ltd. China

ISBN: (纸本)9798400709517

Due to challenges such as complex contractor personnel, a large amount of scattered form data, a cumbersome business implementation process, low levels of digitalization and security, and difficult management in the engineering management business of oil and gas storage and transportation stations, this paper proposes a study on business data fusion application in the engineering management of oil and gas storage and transportation stations. Focused on the business processes and data of engineering management in oil and gas storage and transportation stations, this research establishes and analyzes an architecture for engineering management business in these stations. Using an Artifact-centric data fusion method, the research constructs an information model for the engineering management business, identifying the data topics for this area. Finally, the research applies and verifies the study of business data fusion through real-world business management scenarios. As researchers in the field of business data fusion, this study utilizes digital technologies and methods to enhance the overall safety management of engineering operations, thereby promoting the transformation and upgrading of engineering management business in oil and gas storage and transportation stations

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A Sustainable and Secure Cloud resource provisioning system in Industrial Internet of things (IIoT) based on Image Encryption 22

A Sustainable and Secure Cloud resource provisioning system ...

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proceedings of the 4th international conference on Information Management & machine Intelligence

作者： C.T Dora Pravina Mrunalini Upendra Buradkar Md Khalid Jamal Ashish Tiwari Udit Mamodiya Dinesh Goyal Mathematics Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology India Electronics & Telecommunication Engineering St. Vincent Pallotti College of Engineering & Technology India Computer Application Integral University Lucknow India Computer science and engineering Amity University Lucknow campus India PIET AICTE IDEA LAB Poornima Institute of Engineering and Technology India CSE Poornima Institute of Engineering and Technology India

ISBN: (纸本)9781450399937

An organization can be created through the Industrial Internet of things (IIoT), which can transform an existing bound structure. the Industrial Internet of things (IIoT) and its remote organization requirements for current sensors are very productive. the IIoT's introduced sensors monitor the conditions of contemporary machines and devices. Silicon Cloud demonstrated the advantages of modern distributed computing advancements for intelligent and planning applications. As a result, constant quality and security have emerged as the primary concerns in the IIoT. this presents several distinct and consistently increasing wagers on the advanced system. the research deals with the aim of cutting-edge handheld GPS devices. In a similar vein, recent region-based organizations make use of regional data. there is enough fragile data in the region data provided to these area-based expert communities to warrant overemphasis. As a result, experts are working on finding a solution for safe regional data. Most of the investigation frameworks that were suggested were designed to make them believe that the research objectives are fulfilled rather than precise headings of the client's region.

关键词： Information Internet of things (IoT) Cloud applications Searching Methodology Optimization

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Research progress of visual analysis of artificial intelligence application in depression field based on CiteSpace 23

Research progress of visual analysis of artificial intellige...

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proceedings of the 2023 4th international Symposium on Artificial Intelligence for Medicine Science

作者： Xin Zhang Zhencai Chen Key Research Laboratory of Chinese Medicine Psychology and Brain Science Jiangxi University of Chinese Medicine China

ISBN: (纸本)9798400708138

Depression is one of the most prevalent mental disorders with significant disability and mortality rates, which severely impairs the health and social function of individuals. To explore more efficient and objective diagnosis and treatment methods, the application of artificial intelligence technology in depression has gained increasing attention in recent years, providing a new tool for clinical practice and achieving preliminary successes. the goal of this study was to explore the research hotspots and frontiers of AI in the field of depression, providing reference for future research. Methods: We used literature related to AI in the field of depression retrieved from Web of Science as the data source. In combination with manual screening and information integration methods, CiteSpace software was used to make a statistical analysis of literature distribution, authors, institutions, keywords. Results: A total of 500 English articles were included, and the number of English articles increased significantly from 2019 to 2022. the authors were mainly new research groups in recent years. the pattern of institutional collaboration was relatively simple, and there were few highly cited articles. the research methods mainly involved data mining, machine learning, deep learning, and neural networks, while the application areas mainly focusing on the use of AI technology for predicting depression onset, early recognition, auxiliary diagnosis, and treatment planning. Conclusion: the research hotspots of AI in the field of depression are centered on improving depression intelligent methods, intelligent diagnosis, and intelligent prediction. the focus is more inclined towards intelligent prediction and diagnosis research. Research teams and institutions should strengthen cooperation among experts in different research fields to achieve multi-disciplinary integration.

关键词： CiteSpace software Depression Visual analysis artificial intelligence

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Reexamining Disposition in AI Models Impact in Building Fiction based Characters

Reexamining Disposition in AI Models Impact in Building Fict...

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Advance Computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Ramkishan Baburao Bhise Ranjeet Puyed Smita Kiran Rane Swati Ramkishan Bhise Deparment.of Humanities and Applied Sciences SIES Graduate School Of Technology Navi Mumbai India Department of Sciences and Humanities Dwarkadas J. Sanghvi College of Engineering and Technology Mumbai India Department - Applied Sciences and Humanities College - Dwarkadas J. Sanghvi College of Engineering Mumbai Amity University Maharashtra Mumbai India

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

As artificial intelligence (AI) continues to revolutionize various facets of human existence, its influence in creative domains, particularly literature, has increasingly come to be pronounced. the following paper will handle the ways that character development is changing in modern fiction. It investigates the ways in which AI technologies are outlining the way the creation, representation, and perception of characters in fiction are being developed. that means AI is advancing in character creation in ways that open up a whole new set of doors for writers: the use of powerful tools to generate, field, analyze, and refine their characters in ways previously unthinkable. Using the algorithms of natural language processing (NLP), these days, AI is used to help write dialogue, create characters with their traits, and sometimes even develop the entire character’s arc. this union of human creativity and computational powers doesn’t just make the process of writing faster but, rather, opens doors for new possibilities in innovative storytelling. AI-driven analytics help authors to pick up the insight into reader preferences and trends that tend to help them develop character traits and the storyline, most appealing to the readers. the application of machine-learning algorithms to vast repositories of literature seems to derive character dynamics and tropes that are so archetyped, but their renderings are much more nuanced and impactful. At the same time, this AI character raises very basic questions about authorship, creativity, and the nature of the story. As more and more writers adopt AI for character generation, they do raise some question about authenticity and originality.

关键词： Ethics Sensitivity Heuristic algorithms machine learning Writing Rendering (computer graphics) Market research

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A Data Commercialization Evaluation Model Based on Fuzzy Multi-attribute Group Decision Making 23

A Data Commercialization Evaluation Model Based on Fuzzy Mul...

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proceedings of the 2023 4th international conference on Big Data Economy and Information Management

作者： Bin Zhao Li Cao Yilong Gao Peng Zhai School of Information Science and Engineering Linyi University China School of Mathematics and Computer Application Technology Jining University China

ISBN: (纸本)9798400716669

the core purpose of data commoditization transformation is to lower the threshold of data utilization and facilitate data analysis and mining at the user end. In this paper, we propose a data commoditization degree evaluation model for data trading websites. First, the evaluation index system of data commercialization is constructed, combining the abstract indexes reflecting data commonality and industry-specific data commercialization standards to assess the degree of data commercialization; second, the fuzzy multi-attribute group decision-making method is utilized to conduct fuzzy evaluation of the indexes in response to the issue of user evaluation preference; and the fuzzy function corresponding to the fuzzy evaluation is calculated based on the fuzzy structured element afterwards. the degree of superiority of the program is calculated by fuzzy compromise group decision-making method. Finally, the simplicity, convenience, and effectiveness of the data commoditization assessment model are demonstrated through a speech data case study.

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application of Random Forests for Air quality estimation in India by adopting terrain features

Application of Random Forests for Air quality estimation in ...

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international conference on computer, Communication and Signal Processing (ICCCSP)

作者： Sumneet Kaur Bamrah Saiharshith K R Gayathri K S Sri Venkateswara College of Engineering Chennai India

ISBN: (数字)9781728165097

ISBN: (纸本)9781728165103

India houses a population of more than a billion. the worlds most polluted cities are in our country. Pollution is present in various forms. Air pollution is on the rise. Excessive vehicular emissions, stubble burning, fire and smoke emissions are some of the major causes. the overall quality of air impacts the health, growth and development of the people. Pollutants present in the air impact the air quality. In order to estimate the quality of air, an Air Quality Index (AQI) is computed. It is done using the concentration levels of the pollutants. Climate also plays a significant role where parameters such as temperature, Wind Speed (WS), Wind Direction (WD), Solar Radiation (SR), Barometric Pressure (BP) affect the quality of air. Earlier works considered only pollutant data to generate models for AQI estimation using machine learning approaches. A further study in the domain showed that terrain features also influence AQI. thus, the proposed system derives terrain features for any given location. In addition, it considers a combination of pollutant and meteorological parameters to generate the air quality estimation model. Since AQI is a continuous value, regression approach is preferred for modeling. Analysis is performed in three stages, firstly only with pollutant information, secondly with pollutant and climate information and thirdly with pollutant, climate and terrain information. Various regression techniques are applied on the given dataset. the results showcase the consistent performance of an ensemble technique of Random Forests with an overall accuracy of 81%.

关键词： Atmospheric modeling Meteorology Estimation Air pollution Urban areas Monitoring Gases

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Test Suites Generation using UML Modelling and Heuristic Techniques: A Systematic Study 22

Test Suites Generation using UML Modelling and Heuristic Tec...

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proceedings of the 4th international conference on Information Management & machine Intelligence

作者： Kirti Gupta Parul Goyal Computer Application and Information Technology Shri Guru Ram Rai University India

ISBN: (纸本)9781450399937

Software testing is not only crucial, but also a difficult stage in the system of software development life cycle. During the software testing phase, debuggers create test suites as input for the system being tested in order to evaluate the system's events. An eager role is played by creating test suites for identifying errors and enhancing the prominence of the product. this paper expands on a thorough analysis of generation of test suites processes used in many situations, including implementation of test suites utilizing a single UML diagram, a combinational UML diagram, and meta-heuristic methods. Together with this analysis, a selection of eminence literature from journals, symposia, workshops, and conferences is utilized. Issues with software testing have been identified by looking at the literature study that is based on methods used to develop test suites, coverage requirements, data foundation, testing level, and produced components. Deficits are acknowledged based on systematic study, and future efforts are advised. through the use of inclusion-exclusion criteria, newly proposed coverage criteria, and test suite generating approaches, writers were able to identify the limitations of the work that was provided after examining the deliberative literature. the findings examined 74 significant studies in opposition to 6 research issues. By responding to the carefully considered study questions, the purpose has been satisfied. Following a review of the literature, it can be said that all kinds of generation techniques are frequently used in a range of testing scenarios, but that the period from 2010 to 2022 witnessed the greatest use of all techniques.

关键词： Meta-Heuristic Algorithms

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Construction and application of Mathematical Intelligence Resource Bank of Aerobics under the Background of Healthy China 23

Construction and Application of Mathematical Intelligence Re...

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proceedings of the 2023 4th international conference on Big Data Economy and Information Management

作者： Qianjin Xiao Songfang Zhou Ke Chen Guangzhou Civil Aviation College China Basic Course Department Guangzhou Railway Polytechnic China Physical Education Department Guangdong University of Foreign Studies China

ISBN: (纸本)9798400716669

this paper mainly discusses the necessity and importance of constructing the intelligent resource library of aerobics under the background of promoting "the Healthy China Strategy". It deeply analyzes the construction, technical structure layer, content structure layer and application of the intelligent resource library of aerobics. At the same time, through cloud computing, big data, artificial intelligence and other technologies, user management, authority allocation, security and resource quality assurance are realized. Relying on an intelligent platform portal, the resource library realizes the functions of service and resource presentation through an integrated system, and provides value-added services such as personalized recommendation and precise positioning. the content structure layer of the resource library includes four modules: category aerobics, physical fitness, personalized customization, and complete sets of works. It is mainly used in five aspects: personal fitness, training institutions, enterprises and institutions, street communities, and sports industry. through the combination of Internet technology and aerobics, the ' online + offline, physical + virtual ' exercise method will be realized, and the group of people participating in aerobics learning and exercise will be effectively expanded, and more professional exercise guidance and tailored exercise prescription will be provided, so as to promote national fitness and promote the implementation of the policy strategy of healthy China.

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