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International Conference on Emerging Trends in Mathematics and Statistics (IC-ETMS)

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Articles

Bibliometric Analysis of IoT Application Research: Unveiling Trends and Future Directions for Terahertz Communication in Wireless Systems.

Deepak Hajoary, RinkuBasumatary, RajuNarzary,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents a bibliometric analysis of IoT application research, focusing on unveiling trends and future directions in the field of terahertz communication for wireless systems. The study employs bibliometric techniques to analyze and assess the existing literature on IoT applications, with a specific emphasis on terahertz communication. By examining the publication trends, citation patterns, and collaboration networks, this research provides valuable insights into the current state of terahertz communication in the context of IoT. The findings highlight the emerging applications, key research areas, and potential challenges in terahertz communication for wireless systems. This bibliometric analysis serves as a roadmap for researchers and industry professionals interested in further advancing the field, shaping the future of IoT applications with terahertz communication technologies.

Speech recognition of linguistic English language with Internet of Things and convolution neural networks

R Vijayakumari, Ramya Maranan, Jaspreet, Akshay Ashok Bannatti, Ramya Maranan, S. Kamatchi,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The middle era of speech popularity makes it viable for machines and those to communicate effectively and seamlessly. The demand for particular and depend- able voice popularity structures is rising as Internet of Things (IoT) applications are expanding quick. The use of convolutional neural networks (CNNs) to enhance speech recognition performance, especially for the linguistic English language, is presented in detail in this summary. The complex phonetics and phonology of the English language, in addition to its numerous accents, dialects, and regional editions, are all covered within the field of linguistics. For efficient human-pc interplay in a whole lot of IoT contexts, including smart houses, healthcare systems, and voice-controlled gadgets, accurate linguistic English speech reputation is crucial. For quite a few pc imaginative and prescient and audio processing obligations, convolutional neural networks (CNNs) have turn out to be effective deep mastering fashions. In this paper, we explore the use of CNNs in IoT contexts for linguistic English voice popularity. The collection of speech data, preprocessing, function extraction, model schooling, and reputation are the primary components of the recommended system. To ensure robustness and generality, we use huge-scale datasets of English speech to train the CNN fashions. Backpropagation and stochastic gradient descent are used to educate the version whilst optimizing the parameters to lessen the popularity blunders. This summary’s end emphasizes the significance of unique English speech popularity in IoT programs. We can improve the effectiveness of speech popularity systems for the linguistic English language via using convolutional neural networks. By allowing greater intuitive and herbal interactions via speech commands and voice-managed devices, the suggested approach creates new opportunities for seamless human-gadget engagement in IoT environments.

Leveraging the Power of Deep Learning, Machine Learning, Artificial Intelligence, and Big Data in Finance and Education

A. Swapna, Dr. Hari Leela Vemula, B. Amarnath, B. Sasidhar,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Education and finance have been completely transformed by the combination of big data, AI, machine learning, and deep learning. These technological advancements in finance improve investment strategies and portfolio management by enabling improved risk management, fraud detection, and tailored consumer experiences. Artificial Intelligence (AI), machine learning, and big data are revolutionizing education by detecting at-risk pupils, customizing instruction, and enhancing results. This essay examines the uses and advantages of different technologies while pointing out their drawbacks and advantages. Using these developments maximizes productivity, provides new perspectives, and yields better results in both fields.

IoT-Based Garbage Segregator and Waste Management: A Smart Solution for Sustainable Environment

Omkar Chavan , Vishal Jaware, Diksha Doiphode, Pankaj Deshmukh ,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

IoT-Based Garbage Segregator and Waste Management: A Smart Solution for Sustainable Environment Abstract—Garbage management may be described as all the activities "This abstract explores the implementation of an IoT-based garbage segregator and waste management system, offering a smart solution for sustainable environments. It exam- ines the integration of sensors, data analytics, and real-time mon- itoring. Key considerations include efficient waste segregation, re- cycling optimization, environmental impact reduction, and user- friendly interfaces. By leveraging IoT technologies, this smart solution contributes to sustainable waste management practices, promoting a cleaner and greener environment."Keywords—IoT device, waste management, garbage segregation system , metal waste, wet waste, dry waste segregation, IoT based system, etc

Design framework of an intelligent network design by cloud computing networks in Business Management

Dr Shyamasundar Tripathy, Manikandan .S, Mr Mohammed Abubakr Ahmed, Dr.Satish Billewar, Dr. Uma Shankar, Javed Akhtar Khan,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Network virtualization, softwarization, and the service-oriented architectural principle are transforming communications networks into a flexible platform for integrated network service provisioning at the periphery or in the cloud via cloud-native network design. This article provides an overview of Network AI, an intelligent framework designed to facilitate self-learning control techniques in SDN networks. By integrating deep reinforcement learning with network monitoring technologies and in-band network telemetry, Network AI dynamically develops control policies and generates a selection that is close to optimal. Simulation outcomes confirmed the effectiveness of Network AI.

Comparative Analysis of Linear Styles in Kalamkari Art and the Role of Emerging Technologies in its Revival and Preservation

VENKATA MURALI KESABOINA, DR. VISHWESHWARI TIWARI,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This research conducts an AI-driven comparative analysis of linear styles within Kalamkari art, exploring their evolution and nuances. Focusing on the revitalization and preservation of this traditional art form, the study leverages emerging technologies to uncover insights. Through advanced computational techniques, the research delves into the intricate details of linear styles, highlighting their historical significance and contemporary adaptations. The role of artificial intelligence becomes instrumental in not only preserving the authenticity of Kalamkari but also in paving the way for innovative approaches to its revival. This interdisciplinary study aims to contribute to the seamless integration of technology for the sustainable preservation and revitalization of cultural heritage.

Designing and Fabricating an AI-Enhanced Autonomous Robotic Lawn Cutter for Optimal Efficiency in Intelligent Lawn Maintenance

Dr. Vivekanandan P, Mrs. Radhika P, Mr. Akash M, Mr. Ajoe E J, Mr. Pranav P, Mr. Vijay soundar S,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The goal of this project is to transform intelligent lawn management by creating an autonomous robotic lawn cutter that is augmented by artificial intelligence. In order to maximise efficiency, the study integrates state-of-the-art artificial intelligence into the complex design and manufacture processes. With the use of AI algorithms, the robotic lawn mower makes intelligent decisions while travelling and cutting grass on its own. The research explores the optimised features of its design with an emphasis on improving accuracy and efficiency, guaranteeing a cutting-edge automated lawn care system. By using AI, the robotic cutter gains the ability to adjust to different surfaces and circumstances, resulting in a proactive and knowledgeable maintenance strategy. The goal of this investigation is to further the field of intelligent and effective lawn care technology

Exploring the Influence of AI on Social, Justice, and Legal Perspectives in Eastern Political Doctrine

Dr. Firyuza Mukhitdinova,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This study looks at how artificial intelligence (AI) may be used to address legality and social justice concerns in Eastern political and legal thought. It draws attention to the ways in which AI has the capacity to both contradict and support the moral and ethical tenets of Eastern philosophy and legal theory, which place a strong emphasis on social harmony, ethics, and balance. The article also addresses important viewpoints from Eastern philosophers, such as Confucianism, Taoism, and Buddhist philosophy, in regard to the use of AI in governance, law, and social institutions. Potential ethical conundrums are also explored, such as privacy issues and algorithm prejudice. The influence of AI applications on social fairness and legality in Eastern countries is examined through an analysis of case studies and examples in this study. It assesses how AI technologies may improve access to justice, expedite the legal process, and lessen inequality while taking into account their benefits and drawbacks in relation to Eastern political and legal systems. The research highlights the need of incorporating artificial intelligence (AI) into Eastern intellectuals' political and legal theories, offering a nuanced viewpoint on how AI may help with social justice and legality challenges while upholding cultural and ethical norms.

Transformative Synergy: IoMT-Aided Healthcare Monitoring Empowered by AI for Judicial Reforms.

Juraev Saifiddin Akhmatovich, MukhitdinovaFiryuza,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Transformative Synergy: IoMT-Aided Healthcare Monitoring Empowered by AI for Judicial Reforms. In conditions of reforming of the judiciary and construction of a lawful state the contents of concept ‘judiciary’ was considerably enriched and became wider. In clause has found the reflection modern understanding of the judiciary system of the Republic of Uzbekistan, the point of view on the basis of legislation and judicial reforms implemented in Uzbekistan. In this regard, new requirements for the judicial system are of exceptional importance. As an important socio-political institution of society, the authors analyzed in the article how it should play a significant role in the formation of civil society, be able to exercise its powers in the interests of protecting human and civil rights and freedoms, the constitutional system, the common economic and legal space of Uzbekistan. The article reflects the modern understanding of the judicial system of the Republic of Uzbekistan, argues the point of view on the basis of legislation and judicial reforms implemented in the country.

The Role of Cloud Computing in Studying the Effect of Annealing Temperatures on the Structural and Magnetic Properties of Cobalt Ferrite Nanomaterials

Khushboo Kumari, Raj Kumar Gupta, Harendra Kumar Satyapal,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Nanomaterials made of cobalt ferrite (CoFe2O4) have drawn a lot of interest because of its potential uses in a number of industries, including energy storage, catalysis, and spintronics. By adjusting the annealing temperature, CoFe2O4 nanoparticles' structural and magnetic characteristics can be customized. To investigate how annealing temperatures, affect the structural and magnetic characteristics of CoFe2O4 nanoparticles, however, can be quite computationally intensive. This problem can be solved via cloud computing. High-performance computing resources are accessible on demand thanks to cloud computing. This eliminates the need for researchers to invest in their own high-performance computing infrastructure in order to explore the impact of annealing temperatures on the structural and magnetic properties of CoFe2O4 nanoparticles. We provide a cloud-based framework for investigating the impact of annealing temperatures in this paper. In this article, we provide a cloud-based platform for researching how CoFe2O4 nanoparticles' structural and magnetic characteristics are affected by annealing temperatures. The platform analyzes the data produced by the simulations using a range of machine learning methods.


International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

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