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Applications of Soft computing in Environmental and Ecological Modelling 7

Applications of Soft Computing in Environmental and Ecologic...

引用

7th international conference on Contemporary computing and informatics, IC3I 2024

作者： Kumar, Bijendra Sri Nikila, M. Javheri, S.B. Ram, Deo Karan Nayak, Dr Bijaya Bijeta Dharamvir Bakhtiyarpur College of Engineering Department of Civil Engineering Bakhtiyarpur Bihar Patna India Saveetha Institute of Medical and Technical Sciences Simats Saveetha School of Law Chennai77 India Walchand Institute of Technology Solapur India Niet Nims University Department of Chemical Petroleum and Hydrogen Technology Rajasthan Jaipur303121 India Kiit Deemed to be University School of Mechanical Engineering Odisha Bhubaneswar India The Oxford College of Engineering Department of Mca Bommanhalli Bengaluru560068 India

ISBN: (纸本)9798350350067

The growth of soft computing methodology and its uses is the main emphasis of this paper's exploration of the growth of soft computing services across various industries. It looks at how to solve complicated setup designs and problems using artificial neural networks, fuzzy logic, and evolutionary algorithms. The study applies soft computing methods in the field of ecology and the environment. It looks at the success stories, the topic of investments used, the efficacy of soft computing across sectors, and the applicability of the findings to actual situations. © 2024 ieee.

关键词： artificial neural networks ecology environment fuzzy logic Soft computing

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A Taxonomy of Factors that Influence the Multiple-Cloud computing Utilization 13

A Taxonomy of Factors that Influence the Multiple-Cloud Comp...

引用

13th international conference on Computer Technologies and Development, TechDev 2024

作者： Al-Qahtani, Hassan Saad Saudi Electronic University College of Computing and Informatics Department of Information Technology Saudi Arabia

ISBN: (纸本)9798331539771

There are various factors that associated with the architecture of Multiple-Cloud computing, which have negative impact that reduce the utilization of MCC. Our study is proposing a comprehensive taxonomy of these factors. The proposed classification will help to apply efficient solutions/approaches that prevent, avoid, or reduce the negative impact of these factors;and enhance dealing with these factors. This study identifies and categorize the factors into five primary dimensions: operational factors, data privacy and integrity factors, performance factors, and law and legislations factors. © 2024 ieee.

关键词： Cloud computing architecture

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Fine-Tuning an Arabic OCR Model using Tesseract 5.0

Fine-Tuning an Arabic OCR Model using Tesseract 5.0

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2024 international conference on Computer and Applications, ICCA 2024

作者： Samir, Omar Waleed, Yousef Ahmed, Ibrahim El-Gohary, Omar El-Naggar, Shaden Fawzy, Farida Emam, Malak Emam, Mayar Al-Refaie, Mohamed Taher Egypt University of Informatics Computing and Information Sciences New Administrative Capital Egypt

ISBN: (纸本)9798350367560

Optical Character Recognition (OCR) is a crucial technology for the digital processing and preservation of textual information. While significant progress has been made in OCR for commonly used languages, the recognition of Arabic script poses unique challenges due to its complex linguistic characteristics. This research paper presents a comprehensive approach to collecting data and training an Arabic OCR system using the latest version of the Tesseract OCR engine. Integrating the customized Tesseract model, the study achieved high accuracy in text recognition, as measured by character error rate (CER) and word error rate (WER). The findings highlight the complexities of the Arabic language, including diacritics and ligatures, and discuss the limitations of the current approach. This study contributes to the advancement of optical character recognition, providing a robust Arabic OCR solution that can be leveraged in various applications, from digitizing historical documents to automating text extraction. © 2024 ieee.

关键词： Optical character recognition

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SmartHealth: Personalized Diet and Exercise Plans Using Similarity Modeling 2

SmartHealth: Personalized Diet and Exercise Plans Using Simi...

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2nd ieee international conference on Trends in Quantum computing and Emerging Business Technologies, TQCEBT 2024

作者： Kulkarni, Kiran S Bansal, Darvesh Bhagat, Vandana Vijay Ganie, Ashaq Hussain Christ University Department of Data Science Bangalore India

ISBN: (纸本)9798350384277

Due to the growing prevalence of chronic diseases stemming from unhealthy lifestyles, a personalized approach to patient care is crucial. This paper delves into a system that utilizes cosine similarity and Pearson correlation to generate tailored diet and exercise plans, effectively managing chronic diseases. The system focuses on common chronic conditions like diabetes, hypertension, and thyroid disorders. Through sophisticated similarity modeling for diet and exercise, the proposed system provides integrated and personalized lifestyle recommendations, outperforming non-personalized or basic rule-based systems. © 2024 ieee.

关键词： cosine similarity healthcare informatics Pearson correlation personalized recommendations personalized wellness

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The Impact of a Web Platform with Motivational Elements on Student Engagement in the Learning Process

The Impact of a Web Platform with Motivational Elements on S...

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2024 international conference Automatics and informatics, ICAI 2024

作者： Nikolov, Nikolay University of Economics Department of Informatics Varna Bulgaria

ISBN: (数字)9798350353907

ISBN: (纸本)9798350353907

This study examines the impact of a web-based learning platform with motivational elements on student engagement. Conducted over three years (2022-2024) with students from the same specialty, the research analyzes assignment submission rates and student motivation. The platform features a credit system, resource unlocking, progress tracking, and real-time instructor interaction to enhance learning. Results show a significant increase in completed assignments and student engagement in 2024 compared to previous years. Surveys indicate that students found the platform motivational, particularly appreciating the credit system. The findings suggest that such platforms can effectively boost student engagement and motivation. The study highlights the need for modern educational methods to improve academic outcomes. © 2024 ieee.

关键词： Federated learning

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Towards Quantum Requirements Engineering 31

Towards Quantum Requirements Engineering

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31st ieee international Requirements Engineering conference (RE)

作者： Spoletini, Paola Kennesaw State Univ Kennesaw GA 30144 USA

ISBN: (纸本)9798350326918

Quantum computing is rapidly transitioning from a scientific curiosity to an industrial reality, offering the potential to overcome classical computation limitations. This shift has given rise to the field of quantum software engineering (QSE), focused on developing novel approaches for engineering large-scale quantum applications. Traditional software engineering methods fall short in addressing the unique characteristics of quantum computing, necessitating innovative QSE methodologies and tools. While progress has been made in testing and debugging quantum programs, very little work has been done on analyzing if and how existing requirements engineering techniques can address the challenges that designing quantum software raises. This paper discusses some of the challenges for requirements engineers while eliciting requirements for quantum software, modeling the collected requirements, and analyzing them, and introduces some initial solutions for eliciting, modeling, and analyzing quantum requirements.

关键词： Requirements Modeling Requirements Elicitation Model Checking Quantum computing Quantum Finite State Machines

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User Authentication with Keystroke Dynamics: Performance Evaluation in Neural Network 6

User Authentication with Keystroke Dynamics: Performance Eva...

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6th ieee international conference on Artificial Intelligence in Engineering and Technology, IICAIET 2024

作者： Kek, Xin-Jin Leau, Yu-Beng Tan, Soo Fun Cybersecurity Research Lab Faculty of Computing and Informatics Universiti Malaysia Sabah Sabah Malaysia Creative Advanced Machine Intelligence Research Centre Faculty of Computing and Informatics Universiti Malaysia Sabah Sabah Malaysia

ISBN: (纸本)9798350389692

In the current context of research, it investigates user authentication through keystroke dynamics using the neural network model which focuses on Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU) and Long Short-Term (LSTM). As of above, four distinct experiments were conducted: (1) evaluating 3 different algorithms, (2) layering configuration for CNN and GRU fusion, (3) number of filters and neurons as hyperparameters, (4) assessing combinations of events counts and classes. In justification, the final outcome demonstrates an achieved accuracy of 87%. Based on the experiments that were carried out, optimal hyperparameters were identified: window size of 40, 256 for the number of filters and neurons and 2500 as the optimal number of events with 30 as the number of classes. These findings underscore a significance of considering diverse combinations of a number of events and classes by providing insights into the determination of optimal hyperparameters for keystroke dynamics in performance evaluation. © 2024 ieee.

关键词： Convolutional neural networks

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Decentralized Healthcare Crowdfunding: Leveraging Smart Contracts for Global Medical Research and Treatment

Decentralized Healthcare Crowdfunding: Leveraging Smart Cont...

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2024 international conference on Innovation and Intelligence for informatics, computing, and Technologies, 3ICT 2024

作者： Agholor, Miracle Khatoon, Shaheen Sharif, Mhd Saeed Department of Computer Science and Digital Technologies School of Architecture Computing and Engineering University of East London United Kingdom Intelligent Technologies Research Group School of Architecture Computing and Engineering University of East London United Kingdom

ISBN: (纸本)9798331533137

This article discusses the creation of a decentralized healthcare crowdfunding platform using Thirdweb technology. It explores the growth of crowdfunding in healthcare emphasizing its role in funding treatments from various sources. Multiple existing fundraising platforms are identified to understand their suitability for medical research and treatment to carry on funding campaigns. The goal is to develop a decentralized medical funding application for research and treatment that enables researchers to create fundraising campaigns on the Ethereum blockchain while ensuring transparent and auditable usage of funds through smart contracts. The study’s main contributions include a development process for healthcare crowdfunding platforms, enhanced security through audited smart contracts, improved scalability for global initiatives and a user-friendly interface to encourage broader usage. As proof-of-concept validity, the fundraising application was deployed to blockchain and can be accessed by the public. ©2024 ieee.

关键词： Decentralized finance

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Exploring the Landscape: A Systematic Review of Artificial Intelligence Techniques in Cybersecurity

Exploring the Landscape: A Systematic Review of Artificial I...

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2024 ieee international conference on Communications, computing, Cybersecurity and informatics, CCCI 2024

作者： Kamruzzaman, Md Bhuyan, Md Khokan Hasan, Rakibul Farabi, Syeda Farjana Nilima, Sadia Islam Hossain, Md Azhad Westcliff University Department of Business Administration California90020 United States International American University Department of Business Administration California90004 United States

ISBN: (纸本)9798350349832

In today's interconnected world, the dissemination of vast amounts of information through the internet has become ubiquitous, facilitating seamless communication and connectivity across the globe. However, this digital landscape is fraught with cybersecurity threats, posing significant challenges to individuals, businesses, and organizations alike. In response to these evolving risks, there has been a burgeoning interest in leveraging machine learning techniques to bolster cybersecurity defenses. Through a meticulous examination of 736 research papers spanning from 2012 to 2024, our comprehensive analysis identified 501 pertinent works, shedding light on the recent trends in this critical research domain. By deploying a systematic literature review (SLR) we categorize these papers based on implementation methodologies, article types, publishers, and efficacy, and offer a coherent and visually informative representation of the landscape. This endeavor underscores the immense potential of machine learning in fortifying cybersecurity measures and serves as a valuable resource for researchers, students, publishers, and industry experts seeking to navigate and contribute to the dynamic field of machine learning for cybersecurity. © 2024 ieee.

关键词： Cybersecurity

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Model for Systems Migration to Cloud computing in Mozambique: The case of INAGE

Model for Systems Migration to Cloud Computing in Mozambique...

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2024 international conference on Electrical and Computer Engineering Researches, ICECER 2024

作者： Polana, Delio Zacarias, Orlando Faculty of Science - UEM Department of Mathematics and Informatics Maputo Mozambique

ISBN: (纸本)9798331539733

Cloud computing introduced a change of paradigm that emphasizes the provision of on-demand computing resources, storage and accessibility. This implies remodeling the optimized usage in the context of the digital era in terms of IT resource optimization. However, a clear sequence of steps for implementing the migration process using this technology is not yet well established, mainly due to the lack of strategies that take into account the constraints and unique operational context of the public sector. In this study we adopted a case study approach for INAGE institute Using the Bardin content analysis approach, combined with the Technology Organization Environment (TOE) framework and the Technology Acceptance Model (TAM), was possible to categorize and interpret the collected data. As a result, a conceptual model of a systems migration to cloud computing in Mozambique's public sector was designed. An evaluation was conducted through expert interviews which provided insights for instance, the model's adaptability, responsibilities for the government and knowledge dissemination. © 2024 ieee.

关键词： Cloud platforms

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