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Artificial Intelligence Assisted Cyber-physical Systems with Intelligent Cyber Security Using Deep Learning

Artificial Intelligence Assisted Cyber-Physical Systems with...

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2024 international conference on Smart Systems for Electrical, Electronics, Communication and computer engineering, ICSSEEC 2024

作者： Al-Tahee, Mustafa Easa, Haider Khalil Jabbar, Kadim A. Hussein, Laith Alatba, Sura Rahim Mohammed, Mohammed Abdulamer Medical Instruments Engineering Techniques Al-farahidi University Baghdad Iraq Al-Kitab University Department of Computer Engineering Technologies Kirkuk Iraq National University of Science and Technology Department of Medical Devices Engineering Technologies Nasiriyah Dhi Qar Iraq Al-Kunooze University College Technical Computer Engineering Department Basrah Iraq College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq Al-Turath University College Computer Technologies Engineering Baghdad Iraq Hilla University College Babil Iraq

ISBN: (纸本)9798350378177

Cyber-physical systems, automated anomaly recognition, and threat prevention and response are just a few of the high-tech systems that people depend on today for essential functions that directly affect their safety and, ultimately, their level of life. However, recent tragedies have proved that even highly individualized human anomaly monitoring in complex systems is inadequate, highlighting the need for automated detection and intelligent replies as a proposed security strategy. AI can detect security breaches and other events with the help of machine learning and deep learning, which enable it to organize network patterns and recognize anomalies. This paper introduces the deep learning-assisted cyber-physical systems (DL-CPS) framework. Smartly suggesting an unusual detection mechanism for complex systems reliant on surveyed information storage or numerical corrections analysis, time series analyses of a multivariate time series section, and uncontrolled depth studying to differentiate healthy and unhealthy behaviour for various components. The results of the tests reveal that the suggested model is much better than the baseline and accurately describes the nonlinear temporal correlation and transient patterns. © 2024 IEEE.

关键词： anomaly detection cyber security cyber-physical system deep learning

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GANs and Augmented Reality in Virtual Clothing Try-On 2

GANs and Augmented Reality in Virtual Clothing Try-On

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2nd IEEE international conference on Intelligent and Innovative technologies in Computing, Electrical and Electronics, ICIITCEE 2024

作者： Mishra, Achintya Kaintura, Shubhanshu Yadav, Yogesh Singh Joshi, Vishal Vaidya, Himadri Kapruwan, Akanksha Graphic Era Hill University Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350306415

The aim of this study is to explore the transformative impact of Generative Adversarial Networks or GANs infused with Augmented Reality (AR) in the fashion industry. The classic method of trying on different clothes in the trial room have encountered a new revolutionary shift, overcoming challenges for retailers and consumers. GANs, along with AR are coupled together to generate sophisticated new clothes designs and try them on in real-time. The paper features the material and methodology used, highlighting the role of GANs and Conditional GANs (CGANs) in virtual clothing design. It analyses the augmentation reality in the application to enhance the user experiences in fashion retail by connecting the physical and virtual realms. The convergence of technology and fashion is tested through the lens of these generative models, contributing personalized and mesmerizing virtual try-on experiences. Our research gives out a step-by-step process on how we can create a virtual try on system, incorporating Machine Learning and computer Vision technologies. It tells us about the integration of E-Commerce platforms and optimization of real-time applications. This digital evolution not only addresses existing hurdles but propels the fashion industry into a seamless, engaging, and personalized future. © 2024 IEEE.

关键词： Augmented Reality CGAN computer Vision GAN

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Mobile Healthcare applications and Platforms 1

Mobile Healthcare Applications and Platforms

引用

1st international conference on Healthcare Innovations, Software and engineering technologies, HISET 2024

作者： Talmale, Rudresh Sonwane, Sandip Datta Meghe Institute of Higher Education and Research Datta Meghe College of Pharmacy Wardha India

ISBN: (纸本)9798350360707

M-health technology uses cutting-edge ideas and methods from the multidisciplinary domains of computer science, electrical engineering, biomedical engineering, and medicine to advance these professions' contributions to healthcare systems. This study addresses two significant facets of the current wave of sensor applications in healthcare that are based on mobile phones. Critical evaluation of cutting-edge applications, including built-in cameras, blood glucose monitoring, and vital sign monitoring sensing applications for smartphones. The second step involves examining the difficulties and important concerns surrounding the use of smartphones in the healthcare industry, such as platform variability, security and privacy, cost-effectiveness, energy consumption, user interface, and quality of medical data. © 2024 IEEE.

关键词： Electronic health record

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Comprehensive Review on Integrating Battery Management System with Digital Twin for Real-Time EV Battery State Estimation 1

Comprehensive Review on Integrating Battery Management Syste...

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1st international conference on AIML-applications for engineering and Technology, ICAET 2025

作者： Patil, Kalika Patil, Mangal Bharati Vidyapeeth Deemed to be University College of Engineering Department of Electronics & Communication Pune India

ISBN: (纸本)9798350355611

The conversion of transportation has been accelerated by recent advances in battery system production and technology;yet, the industry is still confronted with substantial challenges that may be addressed by state-of-the-art digital technologies. Digital twinning of battery packs is one example of a state-of-the-art method. To enhance the performance, security, and efficient, digital twins (DTs) of batteries use progressed multidimensional models, AI, sophisticated sensor element, IoT technologies, and cloud computing strategies toward create a fundamental, active illustration about actual battery system (physical twin). An exhaustive examination of the necessary supporting technologies, demands, & several possible applications for battery DTs is presented in this review paper. Included in the scope of the review are software architectures, use cases, digital platforms that facilitate DT creation and integration, software, and hardware requirements for DT implementation with batteries, electrical considerations for modeling, and algorithmic methodologies. The present challenges are identified, and scenarios that will yield enough benefit to compensate for these challenges, such as the extra costs, are discussed. © 2025 IEEE.

关键词： Predictive maintenance

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Innovations in Mechanical Drawing and computer Graphics: Enhancing Precision and Visualization in engineering Design 4

Innovations in Mechanical Drawing and Computer Graphics: Enh...

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4th IEEE international conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Shrivastava, Anurag Goyal, Himanshu Rai Hussein, Layth Bansal, Saloni Sharma, Vishal Harikrishna, M. Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Tamilnadu Chennai India Graphic Era Deemed to be University Department of Computer Science & Engineering Dehradun India The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Gla University Department of Computer Engineering and Applications Mathura India Lovely Professional University Phagwara India Institute of Aeronautical Engineering Department of Computer Science and Engineering Telangana Hyderabad India

ISBN: (纸本)9798331518981

This study examines the significant advancements in computer graphics and mechanical drawing, with an emphasis on how these developments have revolutionised engineering design precision and visualisation. For engineers and designers, integrating cutting-edge computer-aided design (CAD) tools and visualisation technologies has become crucial as sectors continue to adapt to issues that are ever more complex. The study focusses on significant developments that improve design accuracy and enable detailed visual representations of engineering concepts, including augmented reality (AR), simulation methods, and 3D modelling. Professionals can streamline the engineering workflow by using CAD software to produce complex drawings that are both exact and easily customisable. Before physical prototyping takes place, decision-making based on examination of the product's performance under different conditions is made possible by the integration of simulation modelling. Furthermore, by offering immersive experiences that let stakeholders see and interact with 3D models in actual settings, augmented reality applications transform design assessments. The research emphasises the importance of these advances in enhancing engineering teams' cooperation, efficiency, and communication through a thorough examination of them. The ultimate goal of this research is to pinpoint future paths for the integration of computer graphics and mechanical drawing, opening the door for improved engineering design and development processes. © 2024 IEEE.

关键词： Precision engineering

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Pixels to Reality: A Maturity Spectrum of Immersion 2

Pixels to Reality: A Maturity Spectrum of Immersion

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2024 international conference on Intelligent Metaverse technologies & applications

作者： Javed, Adnan Javed, Nauman Umar, Amjad AGE Solut Inc Elizabethtown PA 42701 USA Harrisburg Univ Sci & Technol Harrisburg PA USA

ISBN: (纸本)9798350351521;9798350351514

The metaverse has emerged as the next frontier of digital transformation. Immersive applications bridge the gap between physical and digital operations. It paves the way for innovation and a greater degree of user engagement. However, organizations struggle with developing strategies to reach their optimal potential. Metaverse initiatives are still in their infancy and lack structured metrics and frameworks to measure and benchmark maturity of an immersive application. There is a need for a framework that can evaluate immersive applications, identify areas for improvement, and align these with the strategic goals of the organization. This paper presents a structured framework, based on six key factors that influence immersion quality, and offers a four-stage maturity model for each of these factors. Using this framework, we evaluate a couple of immersive applications in this paper. This preliminary research aims to provide a foundation for future research, helping organizations maximize their presence in the metaverse and maintain a competitive edge in the years to come.

关键词： Metaverse Immersive systems analysis Strategic planning Digital Transformation computer Aided Planning

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Mitigating Security Challenges in Edge Computing: Attacks, Defence Strategies, and Algorithms 3

Mitigating Security Challenges in Edge Computing: Attacks, D...

引用

3rd international conference on Intelligent Data Communication technologies and Internet of Things, IDCIoT 2025

作者： Matta, Venkata Durga Rao Maheswara Rao, V.V.R. Battula, Venkata Sai Jayasurya Addagatla, Mahesh Babu Computer Science and Engineering Department Vishnu Institute of Technology Andhra Pradesh Bhimavaram India Computer Science and Engineering Department Shri Vishnu Engineering College for Women Andhra Pradesh Bhimavaram India

ISBN: (纸本)9798331527549

Edge computing has emerged as a crucial paradigm to fulfill the increasing demand for rapid data processing, low latency, and efficient resource utilization, particularly in applications such as the Internet of Things (IoT), smart cities, autonomous vehicles, and automated industrial systems. By processing data closer to its source, edge computing minimizes reliance on centralized cloud infrastructures, thereby improving response times and optimizing bandwidth. However, this transition also presents significant security challenges, including heightened risks of Distributed Denial of Service (DDoS) attacks, data breaches, and unauthorized physical access to edge nodes. This paper conducts a comprehensive analysis of these security vulnerabilities, presenting a framework that integrates advanced defence mechanisms and algorithms tailored to enhance data protection and resource management in edge environments. Our findings indicate that the proposed strategies effectively mitigate identified threats while maintaining system performance. Furthermore, we outline ongoing challenges related to scalability, interoperability, and data governance, providing insights into future research avenues aimed at fortifying edge computing systems against evolving security threats. This study contributes to a deeper understanding of the critical role edge computing plays in the domain of next-generation computing technologies. © 2025 IEEE.

关键词： Cloud security

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A Systematic Review on Internet of Things (IoT) Security: applications, Architecture, Challenges and Solutions 1

A Systematic Review on Internet of Things (IoT) Security: Ap...

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1st international conference on Advanced Computing and Emerging technologies, ACET 2024

作者： Ganda, Vasu Dev Ritika, Ritika Mehra, Pawan Singh Chawla, Diksha Pdm University Department of Computer Science & Engineering Haryana Bahadurgarh India Delhi Technological University Department of Computer Science & Engineering Delhi India Jiit Department of Computer Science and Engineering and Information Technology Noida India

ISBN: (纸本)9798350367720

In recent years, the Internet of Things (IoT) has rapidly become indispensable in our day-to-day activities. It has emerged as a leading technology around the world. The impact of IoT communication technology on our daily lives in the future is expected to be tremendous. IoT, however, has numerous security and privacy concerns. To gain trust of majority of users using IoT based applications IoT devices should provide data confidentiality, authenticity, integrity and access control. This makes the necessary adjustments to the current architecture imperative. As a result, we thoroughly reviewed the main security concerns with IoT applications and architecture in this paper. Further it covers the countermeasures along with upcoming solutions. Furthermore, it explores the three-tier structure of IoT framework, specifically the Perception, Network, and Application tiers, while showcasing various real-world applications of IoT. © 2024 IEEE.

关键词： IoT IoT applications IoT Architecture IoT Security IoT Security Countermeasures

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Exploring the Role of Internet of Things in Wireless Sensor Networks for Industry 4.0 applications 1

Exploring the Role of Internet of Things in Wireless Sensor ...

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1st international conference on Pioneering Developments in computer Science and Digital technologies, IC2SDT 2024

作者： Palarimath, Suresh Maran, Pyingkodi N.r, Wilfred Blessing Sujatha, T. Renuga, S. R.s, Chithra College of Computing and Information Sciences University of Technology and Applied Sciences Salalah Oman Kongu Engineering College Department of Computer Application Erode India College of Computing and Information Sciences University of Technology and Applied Sciences Ibri Oman Sri Krishna College of Engineering and Technology Department of Artificial Intelligence and Data Science Coimbatore India Panimalar Engineering College Department of Artificial Intelligence and Data Science Chennai India Ponjesly College of Engineering Department of Computer Science and Engineering Kanyakumari India

ISBN: (纸本)9798350365016

Recent developments in computer networking have made it possible to access information from a faraway location via either wireless or wired networks. The recent advancements in wireless infrastructure are directly responsible for the advent of wireless sensor networks, often known as WSNs. These networks make it easier to keep track of environmental happenings and activities, as well as document them and manage them. In WSNs, data relaying is accomplished through the use of a variety of routing strategies. Industry 4.0, also known as the fourth industrial revolution, is characterized by the incorporation of highly developed physical automation systems. These systems are made up of several pieces of machinery and gadgets that are linked together by sensors and are operated by software. The goal of the fourth industrial revolution is to improve the effectiveness and dependability of business processes. The Internet of Things (IoT) can be leveraged in manufacturing, which gives a means of linking engines, power grids, and sensors to the cloud in an industrial context. This is accomplished through the use of Industrial IoT. The purpose of this paper is to gain an understanding of how the Internet of Things functions in wireless sensor networks and its possible applications in a variety of settings. © 2024 IEEE.

关键词： Wireless sensor networks

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Tracing the Progression: Networking applications From Conventional Methods to Incremental AI/ML Integration

Tracing the Progression: Networking Applications From Conven...

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2024 international conference on Communication, computer Sciences and engineering, IC3SE 2024

作者： Singh, Sushma Rawat, Varsha Sharma, Dolly Amity University Department Of Computer Science & Engineering Uttar Pradesh Noida India

ISBN: (纸本)9798350366846

The swift progression of networking technologies and the escalating intricacy of contemporary network environments have stimulated a burgeoning interest in utilizing advanced techniques to tackle various networking hurdles. This paper offers an overview of the evolution of applications within networking, tracing the progression of fundamental technologies, methodologies, and approaches over time. Through an examination of existing literature, we scrutinize pivotal works, recent progressions, and emerging patterns in the field, encompassing areas such as network optimization, anomaly detection, security, and automation. Our observations underscore the profound impact of these techniques on networking, facilitating more effective utilization of resources, improved security measures, and heightened adaptability to fluctuating network dynamics. By exploring ongoing trends and deliberating on future avenues of research, this paper furnishes insights into the current landscape of applications within networking and provides guidance for researchers and professionals endeavouring to navigate the complexities of contemporary networking environments. © 2024 IEEE.

关键词： Machine learning

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