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A Survey on the Role of Complex Networks in IoT and Brain Communication

computers, Materials & Continua 2023年第9期76卷 2573-2595页

作者： Vijey Thayananthan Aiiad Albeshri Hassan A.Alamri Muhammad Bilal Qureshi Muhammad Shuaib Qureshi Cybersecurity Department Faculty of ComputingEngineering and ScienceUniversity of SouthWalesWalesUK Department of Computer Science Faculty of Computing and Information Technology(FCIT)King Abdulaziz UniversityJeddah21589Saudi Arabia Computer Science Department Umm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Science&IT University of Lakki MarwatLakki Marwat28420KPKPakistan Department of Computer Engineering Chungnam National UniversityDaejeon34134Republic of Korea

Complex networks on the Internet of Things(IoT)and brain communication are the main focus of this *** benefits of complex networks may be applicable in the future research directions of 6G,photonic,IoT,brain,etc.,communication *** data traffic,huge capacity,minimal level of dynamic latency,*** some of the future requirements in 5G+and 6G communication *** emerging communication,technologies such as 5G+/6G-based photonic sensor communication and complex networks play an important role in improving future requirements of IoT and brain *** this paper,the state of the complex system considered as a complex network(the connection between the brain cells,neurons,etc.)needs measurement for analyzing the functions of the neurons during brain ***,we measure the state of the complex system through *** 5G+/6G-based photonic sensor nodes,finding observability influenced by the concept of contraction provides the stability of *** IoT or any sensors fail to measure the state of the connectivity in the 5G+or 6G communication due to external noise and attacks,some information about the sensor nodes during the communication will be ***,neurons considered sing the complex networks concept neuron sensors in the brain lose communication and ***,affected sensor nodes in a contraction are equivalent to compensate for maintaining stability *** this compensation,loss of observability depends on the contraction size which is a key factor for employing a complex *** analyze the observability recovery,we can use a contraction detection algorithm with complex network *** survey paper shows that contraction size will allow us to improve the performance of brain communication,stability of neurons,etc.,through the clustering coefficient considered in the contraction detection *** addition,we discuss the scalability of IoT communication using 5G+/6G

关键词： Complex networks emerging communication IoT based on 6G systems neuroscience photonic technology

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Virtual Twin Analytics: Advancing IoT Security through AI-Powered Software Informatics 1

Virtual Twin Analytics: Advancing IoT Security through AI-Po...

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1st International Conference on Software, systems and Information Technology, SSITCON 2024

作者： Nanthini, S. Jain, Upma Arora, Renuka Bhatia, Rishu Sutaria, Kruti Patil, Harshal Saveetha School of Engineering Department of Computer Science and Engineering Chennai India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India Jagannath University Department of Computer Science and Engineering Haryana India Ganga Institute of Technology and Management Department of Electronics and Communication Engineering Haryana India Parul Institute of Engineering and Technology Faculty of Engineering and Technology Gujarat India School of Computer Science and Engineering Uttar Pradesh India

ISBN: (纸本)9798350352931

The Internet has grown in importance and impact over the years, causing people to become more reliant on it. The Internet has evolved into a major vector for cybercrime because to its ever-increasing user base. Over the last decade, the number of these computing systems - including desktops, laptops, smartphones, and the Internet of Things (IoT) - has skyrocketed. Among them, cell phones are practically integral to modern life. The popularity of web-based assaults has skyrocketed with the exponential growth in the number of individuals using the Internet. These web-based assaults are increasingly being combatted by security corporations. Unfortunately, new forms of these assaults are appearing all the time, making it hard for older security measures to stay up. Artificial intelligence (AI) is a source of optimism in the current cybersecurity landscape, offering a potential solution to the ever-changing digital dangers. The fast development of AI over the last decade has given rise to this optimism, because it is now impacting the expansion of every industry. With AI bringing so many advantages in every field, online security is one sector that just cannot afford to ignore it. This planned effort's work represents an advance in that direction. Critical online security issues have been the focus of this proposed work's study, which aims to address these issues using AI. Web security issues for desktop and mobile devices have been addressed in the proposed work. The planned work's contributions to online security are as follows: The 'MalCrawler' web crawler is a targeted tool for finding and exploring the web. This crawler makes it easy to gather websites, particularly ones that are harmful. It does a better job of collecting dangerous websites than a typical crawler. Additionally, it is built to circumvent the evasion strategies used by rogue websites. The crawler's ability to gather webpages - particularly dangerous ones - in order to provide datasets for ML-based an

关键词： Web crawler

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Steady-State Solution ofMHD Flow with Induced Magnetic Field

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Fluid Dynamics & Materials Processing 2025年第2期21卷 233-252页

作者： Saykat Poddar JuiSaha Badhan Neogi Mohammad Sanjeed Hasan Muhammad Minarul Islam Giulio Lorenzini Md.Mahmud Alam Department of Mathematics Faculty of ScienceBangabandhu Sheikh Mujibur Rahman Science and Technology UniversityGopalganj8100Bangladesh Department of Industrial Systems and Technologies Engineering University of ParmaParma43124Italy Mathematics Discipline ScienceEngineering and Technology SchoolKhulna UniversityKhulna9208Bangladesh

This study presents a numerical analysis of the steady-state solution for transient magnetohydrodynamic(MHD)dissipative and radiative fluid flow,incorporating an inducedmagnetic field(IMF)and considering a relatively high concentration of foreign mass(accounting for Soret and Dufour effects)over a vertically oriented semi-infinite *** governing equations were normalized using boundary layer(BL)*** resulting nonlinear system of partial differential equations(PDEs)was discretized and solved using an efficient explicit finite difference method(FDM).Numerical simulations were conducted using MATLAB R2015a,and the developed numerical code was verified through comparison with another code written in FORTRAN *** ensure the reliability of the results,both mesh refinement and steady-state time validation tests were ***,a comparison with existing published studies was made to confirm the accuracy of the *** dimensionless equations revealed the impacts of several key *** IMF initially intensifies near the plate before gradually diminishing as the magnetic parameter *** the range 0≤y≤1.8(where y is the horizontal direction),the IMF decreases with a rise in the magnetic Prandtl number;however,for 1.8≤y≤7(approximately),the magnetic field begins to *** this,the profile of the magnetic field becomes somewhat irregular through the remaining part of the BL.

关键词： MHD stability analysis finite difference method(FDM)

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A Code-Switched Arabic-English Sentiment Analysis Approach Based on Deep-Learning 3

A Code-Switched Arabic-English Sentiment Analysis Approach B...

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3rd International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2023

作者： Almasah, Tasneem S. Ebrahim, Gamal A. Abdelaal, Marwa A. The British University in Egypt Faculty of Engineering Electrical Engineering Department Cairo Egypt Ain Shams University Faculty of Engineering Computer and Systems Engineering Department Cairo Egypt Sadat Academy for Management Sciences Faculty of Computers and Information Computer Science Department Cairo Egypt

ISBN: (纸本)9798350306231

Sentiment analysis within Online Social Networks (OSNs) becomes a major challenge. Mainly, because of the large amount of data on social networks and the mix of different languages that can be used in these environments. Due to the lack of existing research and datasets on code-switched Arabic-English sentiment analysis, this study creates a new dataset collected from various online social networks. The data is subjected to several preprocessing steps before being analyzed using various deep learning architectures. Moreover, a thorough evaluation of the preprocessing techniques and the performance of the deep learning models have been conducted. This is achieved using comprehensive Twitter datasets in Arabic and English. The study reveals that individual deep learning architectures, specifically, Convolutional Neural Networks (CNNs), Bidirectional Long Short Term Memory (Bi-LSTM), and LSTM demonstrated superior results compared to their hybrid counterparts. Notably, CNN emerged as the most accurate model with an accuracy of 83%, followed closely by Bi-LSTM at 82.3%. Additionally, the paper presents the deployment of an automated machine learning tool, which is Auto-Keras. Furthermore, it designs an optimized sentiment analysis model that aims to enhance accuracy. This approach leads to an increase in the model accuracy to 86%. © 2023 IEEE.

关键词： Sentiment analysis

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Project Assessment in Offshore Software Maintenance Outsourcing Using Deep Extreme Learning Machines

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computers, Materials & Continua 2023年第1期74卷 1871-1886页

作者： Atif Ikram Masita Abdul Jalil Amir Bin Ngah Saqib Raza Ahmad Salman Khan Yasir Mahmood Nazri Kama Azri Azmi Assad Alzayed Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala NerusMalaysia Department of Computer Science&Information Technology Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Department of Software Engineering Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Advanced Informatics Department Razak Faculty of Technology and InformaticsUniversiti Teknologi Malaysia54100Kuala LumpurMalaysia Computer Science and Information Systems Department College of Business Studies Public Authority for Applied Education and Training(PAAET)AdailiyahKuwait Department of Computer Science Sharif College of Engineering&TechnologyLahore54000Pakistan

Software maintenance is the process of fixing,modifying,and improving software deliverables after they are delivered to the *** can benefit from offshore software maintenance outsourcing(OSMO)in different ways,including time savings,cost savings,and improving the software quality and *** of the hardest challenges for the OSMO vendor is to choose a suitable project among several clients’*** goal of the current study is to recommend a machine learning-based decision support system that OSMO vendors can utilize to forecast or assess the project of OSMO *** projects belong to OSMO vendors,having offices in developing countries while providing services to developed *** the current study,Extreme Learning Machine’s(ELM’s)variant called Deep Extreme Learning Machines(DELMs)is used.A novel dataset consisting of 195 projects data is proposed to train the model and to evaluate the overall efficiency of the proposed *** proposed DELM’s based model evaluations achieved 90.017%training accuracy having a value with 1.412×10^(-3) Root Mean Square Error(RMSE)and 85.772%testing accuracy with 1.569×10^(-3) RMSE with five DELMs hidden *** results express that the suggested model has gained a notable recognition rate in comparison to any previous *** current study also concludes DELMs as the most applicable and useful technique for OSMO client’s project assessment.

关键词： Software outsourcing deep extreme learning machine(DELM) machine learning(ML) extreme learning machine assessment

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AI Based Automated Gym Trainer Using Machine Learning 10

AI Based Automated Gym Trainer Using Machine Learning

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10th International Conference on Advanced Computing and Communication systems, ICACCS 2024

作者： Cholaraja, K. Gururaj, M. Swasthika, V. Gnanasambandam, S.R. Sri Eshwar College of Engineering Department of Computer Science and Business Systems Coimbatore India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384369

The 'Smart Exercise Counter using computer Vision' is a groundbreaking system that blends cutting-edge computer vision technology with exercise monitoring. In an age where fitness and health are paramount, this innovative solution addresses the limitations of conventional fitness tracking methods by offering real-time, accurate feedback and comprehensive data analysis. By utilizing computer vision algorithms, this system tracks and analyzes the movements of individuals during their exercise routines, enhancing exercise counting, form assessment, and overall workout efficacy. Key components of the system include strategically positioned cameras, real-time image processing, machine learning models for exercise recognition, and biomechanically-informed form analysis. The system not only counts repetitions but also evaluates posture and technique, providing immediate feedback and corrections. Users can access their exercise data and progress through an intuitive mobile app or web dashboard, making it accessible and user-friendly. The applications of this technology extend beyond personal fitness, encompassing healthcare, sports training, and gym facilities. Healthcare professionals can employ it for rehabilitation and therapy, while athletes and coaches can refine training regimens. Gyms can enhance member experiences by offering advanced exercise monitoring. The 'Smart Exercise Counter using computer Vision' embodies the future of exercise monitoring, where technology aligns with health and fitness goals, offering a promising path towards more accurate, effective, and enjoyable workouts. This abstract encapsulates the transformative potential of computer vision in shaping the way we approach physical exercise and well-being. © 2024 IEEE.

关键词： Training computer vision Accuracy Tracking Medical treatment Machine learning Real-time systems Mobile applications Monitoring Sports

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Advanced Auditing Solutions Through the Blockchain Cutting Edge Technology 10

Advanced Auditing Solutions Through the Blockchain Cutting E...

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10th International Conference on Advanced Computing and Communication systems, ICACCS 2024

作者： Siva, K.P. Sudhakar, S. Sahaya Gurus Raja, M. Kanishka, G. Niranjan, V. Sri Eshwar College of Engineering Department of Computer Science and Business Systems Coimbatore India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384369

In the modern business landscape, organizations seek technology-driven auditing solutions. This Abstract empowers auditors by reducing their workload and providing precise questionnaires to extract detailed financial information for a comprehensive examination process, ensuring accuracy and efficiency. The scourge of manual data entry is relegated to history, as this system seamlessly connects to bank accounts for effortless data import or accommodates the upload of data in universally accepted document formats. At its core, an advanced algorithm works tirelessly to analyze extensive transaction data, swiftly pinpointing potential fraud or suspicious activities and expediting the investigative process. After analysis, this system meticulously compiles transaction data, associates them with the relevant parties, and diligently flags anomalies, facilitating the identification of stolen assets and the methodologies employed in the transgressions. Security is paramount through the implementation of blockchain technology, ensuring data integrity, while the project fosters collaboration by facilitating discussions with senior auditors and aligning with established audit standards. The culmination of these features streamlines the creation of auditable, court-ready reports, simplifying the transformation of findings into comprehensive documents fit for legal *** represents a revolutionary paradigm shift, poised to redefine auditing by harmonizing technology, efficiency, security, and adherence to professional principles. Overall, your abstract is comprehensive and well-structured, conveying the significance of your auditing initiative effectively. © 2024 IEEE.

关键词： Efficiency

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Open Source Geospatial tools for Solar Atlas in a Thermal and Photovoltaic Analysis applied to Cuenca-Ecuador 8

Open Source Geospatial tools for Solar Atlas in a Thermal an...

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8th IEEE Ecuador Technical Chapters Meeting, ETCM 2024

作者： Zúñiga, Andrea Paulina Rodríguez Pacheco, Bryam David Maicincho Ramírez, Verónica Viloria Morocho, Villie University of Cuenca Computer Science Department Cuenca Ecuador University of Cuenca Engineering Faculty Computer Science Department Cuenca Ecuador

ISBN: (纸本)9798350391589

This paper introduces the development of a solar atlas designed to evaluate both photovoltaic and thermal energy potentials in urban environments. The study focuses on Las Herrerias sector in Cuenca, Ecuador, detailing data inputs, software tools, and methodologies employed. It provides a granular view of solar radiation incidence by integrating geospatial data and highresolution orthophotos. Key formulas for estimating solar electric output and thermal efficiency are applied. The findings underscore the importance of utilizing localized data for renewable energy projects, highlighting areas with the highest potential for solar energy exploitation. Additionally, the integration of shadow mapping identifies optimal rooftops for solar panel installation. © 2024 IEEE.

关键词： Solar thermal energy

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Customer Churn Predictive Analytics: Understanding Customer Segments for Enhanced Business Strategies 10

Customer Churn Predictive Analytics: Understanding Customer ...

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10th International Conference on Advanced Computing and Communication systems, ICACCS 2024

作者： Priyanka, G. Sowmiya, M. Vinuja, M. Shree, S.S. Dhanu Shalini, S. Sri Eshwar College of Engineering Department of Computer Science and Business Systems Coimbatore India

ISBN: (纸本)9798350384369

Getting new clients and keeping current ones are the highest priority goals in modern business world. The subscriber base is growing as each industry's market grows swiftly. As a result, companies increasingly recognize how important it is to retain their current customers. In order to maintain their ability to turn a profit, service providers must now significantly reduce their churn rates. Churn prediction enables the identification of clients who are most likely to shop elsewhere. The purpose of this work is to provide broad guidelines on churn prediction using supervised machine learning techniques as a benchmark in conjunction with widely used data sampling techniques on publicly available datasets. A priori selection of the best sampling technique and classification model is challenging since it heavily depends on the inherent properties of the data. In this research, we investigate the performance of seven sampling methodologies, eleven supervised and semi-supervised learning methods, and sixteen different and openly accessible churn-like datasets. © 2024 IEEE.

关键词： Predictive analytics

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Enhancing URL Security and Access Control Using Hash-Based Shortening Algorithm 2

Enhancing URL Security and Access Control Using Hash-Based S...

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2nd IEEE International Conference on Emerging Research in Computational science, ICERCS 2024

作者： Haripriya, K. Preethi, C. Hameed, S. Shahul Pavalarajan, S. Shushmmitha, T. Haripriya, V. PSNA College of Engineering and Technology Department of Computer Science and Business Systems Dindigul India

ISBN: (纸本)9798331534950

Shortening URLs has become an integral part of modern digital communication, as it simplifies long and complex internet addresses, making them more user-friendly. However, conventional URL shortening methods often lack adequate security provisions, leaving shortened links vulnerable to various risks. This project aims to develop a secure URL-shortening service by incorporating a hash-based access control mechanism. By using a hash-based approach, we can significantly enhance the security of shortened URLs. In this method, a unique hash value is generated for each URL, which serves as a link to the shortened URL. The generated hash is highly resistant to decryption, making it difficult for unauthorized users to retrieve the original URL, thereby ensuring that only the intended recipient can access the link. The goal of this project is to develop a protected and secure URL-shortening service that utilizes a hash-based access control mechanism. By generating a unique hash for each shortened URL, the system will enhance both security and user privacy. Furthermore, the implementation of granular access control will be a key factor in maintaining the system's overall security. SHA-256 can be utilized to generate unique, unpredictable shortened URLs by creating secure hash values. Integrating OAuth2 and JWT provides robust access control, enabling seamless user authentication and authorization across multiple systems. Additionally, AES encryption ensures the protection of sensitive data by offering strong encryption, safeguarding both the original URL and user information. © 2024 IEEE.

关键词： Cryptography

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