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检索条件"任意字段=International Conference on Advances in Information Communication Technology and Computing"

共 82771 条记录，以下是271-280 订阅

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EECT 2025 - 2025 5th international conference on advances in Electrical, Electronics and computing technology, Proceeding

EECT 2025 - 2025 5th International Conference on Advances in...

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5th international conference on advances in Electrical, Electronics and computing technology, EECT 2025

ISBN: (纸本)9798331541545

The proceedings contain 56 papers. The topics discussed include: research on the operation risk assessment technology of the power trading center based on the fuzzy comprehensive evaluation method;differential privacy protection technology review for machine learning;research on online monitoring technology of low-voltage spark discharge phenomenon in cable metal sheath;research on grid-forming flywheel energy storage-supported frequency regulation strategy for renewable energy integration;optimization model for hydropower boundary conditions for minimizing abandoned water volume;scheduling optimization model for medium and long-term hydropower generation;safety monitoring method for live working based on deep learning and binocular vision;multi-agent evolutionary game of electricity-carbon-green certificate coupling market equilibrium;linepack flexibility in integrated electricity-gas systems: a comparative study of gas flow models and solution methods;waveform design based on subcarrier optimization for integrated satellite-terrestrial sensing and communication;and multi-objective balancing method of three-phase load considering phase adjustment feasibility and dispersion degree.

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Enhancing Sum Rate Performance in Multi-User NOMA Systems: Mitigating Channel Estimation Errors through Advanced Signal Processing 10

Enhancing Sum Rate Performance in Multi-User NOMA Systems: M...

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10th IEEE international conference on Electronics, computing and communication Technologies (IEEE CONECCT)

作者： Bagadi, Kalapraveen Raju, Naga Challa Pavan, Janapati Sai Vishnu Krishnan, Dipin Vankayala, Satya Kumar Yoon, Seungil Vellore Inst Technol Sch Elect Engn Vellore Tamil Nadu India Samsung R&D Inst Bengaluru India

ISBN: (纸本)9798350385939;9798350385922

This work focuses on optimizing the total data transmission rate in a multi-user non-orthogonal multiple access (NOMA) system, specifically when there are inaccuracies in estimating the communication channel. NOMA is a technology that shows potential to improve the efficiency of wireless communication by allowing several users to access the same time-frequency resources. Nevertheless, the efficacy of NOMA systems can be significantly compromised by inaccuracies in channel estimation. This study investigates the influence of these mistakes on the total data transmission rate of a multi-user Non-Orthogonal Multiple Access (NOMA) system. It presents an innovative method to alleviate this problem. Our approach utilizes sophisticated signal processing techniques to optimize the distribution of power and the sequence in which users decode information. The goal is to maximize the total rate of the system, even when the channel status information is not perfect. We assess the performance of the suggested methodology and compare it to existing methods using thorough simulations. The results clearly indicate that our solution effectively reduces the adverse effects of channel estimate errors and improves the overall sum rate performance in multi-user NOMA systems. This study makes a valuable contribution to improving the effectiveness and dependability of communication methods for upcoming wireless networks.

关键词： channel estimation error multiuser communication NOMA spectral efficiency sum-rate maximization

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Explainable Artificial Intelligence Applications in Cyber Security 1

Explainable Artificial Intelligence Applications in Cyber Se...

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1st IEEE international conference on advances in computing, communication and Networking, ICAC2N 2024

作者： Savitha, B. Achyutha Prasad, N. Sushmitha, B.R. Megha, R. Laxmi, Laxmi Hm, LeenaShruthi East West Institute of Technology Dept of CSE Bengaluru India

ISBN: (纸本)9798350356816

In the rapidly evolving landscape of cybersecurity, the identification and relief of cyber-attacks have become paramount to protect sensitive information and maintain system integrity. This paper explores an innovative approach to cyber-attack detection within a Whitebox environment, utilizing cutting-edge machine learning techniques and comprehensive system monitoring techniques. Our proposed methodology integrates deep learning models with utilizing instantaneous data examination to recognize and address anomalies indicative of malicious activity. By employing a Whitebox testing strategy, we gain complete visibility into the system's internal states, enabling more accurate and timely detection of sophisticated attacks. The experiment's Findings indicate that our strategy considerably improves rates of detection while lowering false positives compared to traditional Blackbox methods. This study advances the area of cybersecurity by presenting a scalable yet efficient approach for real-time cyber-attacks detection, emphasising the need of transparency and thorough monitoring in defending digital infrastructures. © 2024 IEEE.

关键词： Blackbox Cybersecurity Machine Learning Whitebox

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Assessing the Role of Reconfigurable Network Protocols in communications Software Design

Assessing the Role of Reconfigurable Network Protocols in Co...

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2024 international conference on Optimization computing and Wireless communication, ICOCWC 2024

作者： Sahoo, Girija Shankar Dadhich, Atul Bargavi, Manju Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Department of Electrical Engineering Jaipur India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350383348

Reconfigurable network protocols are an essential paradigm for the design of contemporary verbal exchange software program. This type of protocol is characterized by its capability to adapt quick to converting network codes, topologies, and flows, by way of introducing advances in adaptability and scalability. In this paper, we study the function of reconfigurable network protocols in the design of communications software program, utilizing a machine-centered modeling method to assess the design decisions that are necessary to ensure the robustness of the protocol. Especially, we recognition on two key additives of reconfigurable layout: configurability and flexibility. First, we speak how configurability may be integrated into the layout of verbal exchange software;using strategies including reconfigurable rule units, occasion-pushed manage models, and mobility offerings. Second, we examine how adaptability can be elevated and utilized to improve scalability, the use of strategies which include self-organization, inter-networking, and massively reconfiguration fashions. Finally, we talk the consequences of this research and talk capacity areas of further investigation. © 2024 IEEE.

关键词： Additives Configurability Fashions Network Occasion Recognition Reconfiguration

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Cloud computing: Safeguarding Security and Privacy in the Digital Age 1

Cloud Computing: Safeguarding Security and Privacy in the Di...

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1st IEEE international conference on advances in computing, communication and Networking, ICAC2N 2024

作者： Kumar, Kapish Mishra, Anuranjan Khan, Asif Greater Noida Institute of Technology Computer Science Engineering U.P India Greater Noida Institute of Technology Department of Computer Science Engineering U.P India

ISBN: (纸本)9798350356816

Cloud computing is changing the IT infrastructure by providing easy-to-use and accessible data over the internet. Although cloud technology is widely used in many different areas, ensuring the security of the cloud is still very difficult. This content explores the complexities of cloud computing security, including technological advances, challenges, and opportunities. Data breaches, insider threats, and compliance challenges are challenging for effective protections such as authentication, authorization, and encryption to help maintain data integrity and security. Blockchain and zero trust architecture are essential to increase security by redefining trust models and access restrictions in the cloud. Regulatory compliance such as GDPR, HIPAA, and ISO/IEC 27001 underscore the importance of tying security measures to legal obligations and providing stringent requirements for service providers' cloud and customer. Service Level Agreements (SLAs) help define and explain the security of service providers and customers. They suggest methods for problem solving and service delivery. This brief concludes by highlighting the ever-changing nature of climate security challenges and the urgent need for adaptive security solutions to regularly mitigate these risks. It provides the truly holistic view needed to understand and manage the complexity of cloud security systems. © 2024 IEEE.

关键词： Cloud security

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An Integrated Framework for Enhanced Learning Environments: IoT-Driven Smart Classrooms with Multi-Layered Security Protocols and Adaptive Infrastructure

An Integrated Framework for Enhanced Learning Environments: ...

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2024 international conference on advances in computing, communication, Electrical, and Smart Systems, iCACCESS 2024

作者： Shayer, Khandokar Shadman Medul, Mahamudul Hasan Badoruzzaman, Md. Islam Shuvo, Jahidul Rabbu, Mohammad Mahmudul Haque, F.M. American International University-Bangladesh Department of Electrical & Electronic Engineering Dhaka Bangladesh International University of Business Agriculture and Technology Department of Computer Science & Engineering Dhaka Bangladesh

ISBN: (纸本)9798350350289

The learning environment has experienced an evolution in this era of advanced instructional technologies. Smart classrooms are currently equipped with interactive devices and resources to enhance the effectiveness of learning, and this trend has evolved into an innovative classroom management technique. Conventional classes require a substantial workforce and an administrative team. In a conventional classroom setting, the level of security is generally either limited or completely absent. Considering the circumstances mentioned above, research has been conducted as a provisional resolution. Utilizing the Internet of Things, this research aims to develop a smart classroom that effectively handles real-time information and implements techniques for intelligent security and energy saving. The research utilized ESP32-CAM, a fingerprint sensor, a flame sensor, SIM8001, and an Arduino N ano. The prototype transmits live data to the website server. The hardware implementation results have been thoroughly assessed to verify the project's effective completion. © 2024 IEEE.

关键词： Websites

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An AI Based Electric Field Detection using UAV 3

An AI Based Electric Field Detection using UAV

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3rd international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2023

作者： Padghan, Milind N Bansod, Saurabh Singh, Shashank Kumar Pal, Prasahnt National Institute of Electronics and Information Technology Department of EDT Aurangabad India National Institute of Electronics and Information Technology Aurangabad India

ISBN: (纸本)9781665494007

The Idea of detecting the Electric Field which is sustained in the space universe will get detected in this system. The implementation of Unmanned Aerial Vehicle with autonomous control can specifically determine the system of its intensity, levels of deficiency, benefits and circuitry difficulties in the field when synchronizing with Artificial Intelligence. The traditional aircraft systems have a manual pilot operator to maintain security and safety, the charge existed in the medium can proportionally detect the quantum of charge, intensity, waveform of representation. This proposed framework consists of a decentralized control in architecture which simultaneously controls the monitors and the swarms of resource-constraint in UAV for their real-time requirements. The outcomes of UAVs can be mitigated significantly in space medium and their efficiency can be increased in realizing their diverse range of missions. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Automated Toxic Chat Synthesis, Reporting and Removing the Chat in Telegram Social Media Using Natural Language Processing Techniques 4

Automated Toxic Chat Synthesis, Reporting and Removing the C...

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4th international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2024

作者： Abhijith, A.B. Prithvi, P. National Institute of Technology Department of Electronics and Communication Engineering Telangana Warangal India

ISBN: (纸本)9798350343670

This project seeks to address the pervasive challenge of toxic communication in the context of Telegram social media by deploying various Natural Language Processing (NLP) techniques. The classification framework developed for this endeavor is capable of discerning various forms of toxicity, including toxic, severe toxic, identity hate, obscene, threat, and insult. Beyond classification, the system incorporates a two-fold approach involving automated reporting and subsequent removal of identified toxic content. This comprehensive strategy not only empowers users to actively contribute to a healthier online discourse but also leverages the capabilities of NLP to enhance the overall user experience within the Telegram platform. The models employed for training include logistic regression, k-nearest neighbours (KNN), random forest, multinomial naive Bayes and Bidirectional Encoder Representations from Transformers (BERT). By tackling toxic communication at its root, this project aspires to foster an inclusive and respectful digital community, where users can engage in meaningful discussions without the pervasive influence of harmful language. The integration of these mechanisms into Telegram aims to create a seamless and efficient process for identifying, reporting, and removing toxic content, thereby promoting a more positive online environment. © 2024 IEEE.

关键词： BERT k-nearest neighbours Logistic Regression multinomial naïve Bayes Natural Language Processing random forest Telegram Social Media Toxic Comment

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Utilizing Convolutional Neural Networks for Real-Time Object Tracking

Utilizing Convolutional Neural Networks for Real-Time Object...

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2024 international conference on Optimization computing and Wireless communication, ICOCWC 2024

作者： Yadav, Dhananjay Kumar Sharma, Neeraj Prakash, Febin Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Electrical Engineering Jaipur India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350383348

Utilizing Convolutional Neural Networks (CNNs) for actual-time item monitoring is a modern-day famous approach for visual tracking obligations. CNNs can construct vital functions from the input frames and learn to recognize and localize objects with excessive accuracy in the evaluation of preceding methods. Despite accomplishing the desired accuracy, the latest processes have adopted adaptive function extraction and reuse strategies to reduce the present-day fee. Several processes take proposals from the latest improvements in detection and segmentation fields to further improve tracking accuracy, with proposals to combine cease-to-quit tracking fashions with place-inspiration-based total object detection strategies or adaptive characteristic state-of-the-art frameworks. In addition, the latest studies have proposed novel architectures and first-class-tuning techniques optimized for tracking, in addition to addressing the difficulty of modern-day version wafting by introducing reminiscence modules and line latest techniques. All in all, advances in CNN-based tracking techniques have substantially progressed the precision and robustness of ultra-modern actual-time item tracking. © 2024 IEEE.

关键词： Convolutional improvements modern-day monitoring optimized

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Project - HALE Wor-Corp: A Comprehensive and Collaborative Workspace Encompassing AI and State-of-the-Art Web technology for Hospitals 3

Project - HALE Wor-Corp: A Comprehensive and Collaborative W...

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international conference on advances in computing, communication and Applied Informatics (ACCAI)

作者： Raamesh, Lilly Stephen, Ancy Anitha, S. St Josephs Coll Engn Dept Artificial Intelligence & Machine Learning Chennai 119 Tamil Nadu India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

The integration of IoT technology, blockchain technology, API technology, and artificial intelligence is investigated by Project HALE Wor-Corp. The integration of these technologies offers a substantial potential for augmenting patient care, streamlining administrative procedures, and improving healthcare delivery. Using blockchain technology, IoT devices can collect data in real time and transmit it securely. By facilitating data interoperability between systems, APIs improve communication and data sharing. The vast quantities of data produced by these technologies can subsequently be analyzed by AI algorithms, resulting in improved patient outcomes, personalized treatments, and more precise diagnoses. This paper assists organizations in effectively managing the workplace and fostering team collaboration. Present enhanced methods for communicating with clients, coworkers, or individuals who are not physically present in the same room concurrently. Featured with a live chat system that facilitates instantaneous communication between businesses and members and clients, event tracking, strategic planning to enhance productivity and stay organized while meeting deadlines, workflow visualisation aids in streamlining operations by restricting work in progress, ensuring efficiency, and facilitating the emulation and recording of time-stamped commercial documents. To streamline the process of storing and monitoring invoice histories, the system supports the management of billing addresses, office addresses, and home addresses for purchases. Additionally, it enables the configuration and management of diverse modes of transactions and payments for purchases, the creation of a wide range of discount, offer, deal, and coupon code schemes, and the development of custom applications for member and enterprise use.

关键词： Project HALE Wor-Corp Blockchain Internet of Things Analytics Customer Relationship Management Machine Learning E-Commerce Email Invoice Chat Calendar Kanban API technology Artificial Intelligence

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