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A Deep Exposition of data science: Related Issues and its Applications 14

A Deep Exposition of Data Science: Related Issues and its Ap...

引用

14th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2023

作者： Azahad, Syed Vennam, Venkatram Krishnamurty, M.V.D.S. Department of Computer Science Engineering MCET Telangana Hyderabad India

data science is the study of extracting, collecting, gathering, representing, and safeguarding data for use in technical problems or for business goals. Although the term "data science" may seem to refer to databases and software engineering, numerous other quantitative and qualitative skills, including non-mathematical skills, are also necessary. Information dissection is the main goal of data science. This essay provides an explanation of what data science is, how it works, and some possible applications. This essay's second section contains several reviews of data science. The full data science method is illustrated in Section III of this essay. The data science-related research topics are all described in Section IV. The report concludes with several recommendations for data science-related future research. The writers of the current study will make an effort to look at the various problems, execution, and challenges in the field of data science. © Grenze Scientific Society, 2023.

关键词： Software engineering

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Digital Recognition of English Handwritten Text 15

Digital Recognition of English Handwritten Text

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15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Nayak, Vasanth Amin, Shravan G. Shetty, Shreesha Prabhu, Shwetha Canara Engineering College Information Science and Engineering Mangalore India

ISBN: (纸本)9798331300579

In the modern world, data is widely recognized as one of the most important commodities on Earth. Therefore, it is essential that the data be digitally transformed. Handwritten text is used in many different businesses for operational purposes. For instance, handwritten tax returns, doctor's prescriptions, resumes, and financial and legal papers. This emphasizes how important it is to transform handwritten material because handwriting differs between people and is easily misread. After manually entering word crop photos into the application as a document, the text has to be retrieved from the image. One of the modifications is the field of artificial intelligence and machine learning known as Deep Learning. The suggested approach uses convolutional neural networks, specifically ANN to classify handwritten characters and then trains a model that can recognize them. This method allows for a more accurate and efficient conversion of handwritten text into digital format, saving time and effort. Additionally, advancements in this technology have led to improved accuracy rates in recognizing various handwriting styles and fonts. © Grenze Scientific Society, 2024.

关键词： Convolutional neural networks

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Cattle Disease Prediction using Machine Learning: A Systematic Review 14

Cattle Disease Prediction using Machine Learning: A Systemat...

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14th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2023

作者： Mesta, Deeksha G. Janani, R. Nydile, M.N. Kumar, Naveen M.R. Information Science and Engineering Vidyavardhaka College of Engineering Mysuru India

The potential benefits of significant livestock health diagnosis is enormous. Animal husbandry being the most important aspect of India’s agricultural growth, farmers suffer on a regular basis as a result of their cattle's bad health and lack of qualified veterinary doctors in their region. At a breakneck pace of Big data and Machine Learning, data mining and analysis are implemented widely in the field of animal husbandry because of the fact that disease and bioterrorism constitute a danger to cattle produce and food supply’s safety. In this review paper, we will be comparing the different data science techniques. © Grenze Scientific Society, 2023.

关键词： data mining

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An Analytical Model for QoS in Mobile Ad Hoc Network using Artificial Neural Network (ANN) 15

An Analytical Model for QoS in Mobile Ad Hoc Network using A...

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15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Kumar, Anil Shukla, R.K. Shukla, R.S. Department of Computer Applications Invertis University Bareilly India Department of Applied Science & Humanities Invertis University Bareilly India Department of Computer Science College of Computing and Informatics Saudi Electronic University Saudi Arabia

ISBN: (纸本)9798331300579

This study examines the challenge of predicting end-to-end packet delay in mobile ad hoc networks for Quality of Service (QoS) routing. Factors like node neighbors, interference, and medium access control impact delay unpredictability. We explore the potential of artificial neural networks to enhance accuracy in forecasting these delays, aiming to improve QoS within the dynamic Mobile Ad Hoc Network (MANET) context. We calculated delay using source-destination path length and average neighbors. Two models were built: Regression Neural Networks (RNN) and Radial Basis Function (RBF) networks. Using a network simulator, we gathered data sets for three routing protocols: AODV, DSDV, and DSR. These sets include delay, path length, and average neighbors. RNN outperformed RBF in predicting delay, as determined by various performance metrics. © Grenze Scientific Society, 2024.

关键词： Radial basis function networks

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Parallelization of Pigeonhole Sort for Efficient data Sorting 15

Parallelization of Pigeonhole Sort for Efficient Data Sortin...

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15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Datta, Pasupuleti Rohith Sai Kamath, Chinmaya D. Kini, N.Gopalakrishna Rao, Ashwath B. Department of Computer Science and Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576 104 India

ISBN: (纸本)9798331300579

The need for parallel sorting algorithms have been driven by the increasing need for large-scale datasets to be processed *** sorting is one of the sorting algorithms that carries sorting in linear *** study focuses on enhancing the efficacy of the Pigeonhole Sorting method to improve the performance of the algorithm by employing parallel programming techniques specifically Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA).The primary objective is to develop and assess parallel solutions for Pigeonhole Sorting, with the aim of optimizing sorting efficiency in data-intensive *** with a comprehensive analysis of the sequential design of the Pigeonhole Sorting algorithm, this work proceeds to create parallel implementations using CUDA for Graphics Processing Unit (GPU) acceleration and MPI for distributed memory *** work contributes valuable insights into adapting the Pigeonhole Sorting algorithm to parallel *** findings emphasize the potential advantages of parallelization in reducing the overall computation time. © Grenze Scientific Society, 2024.

关键词： Graphics processing unit

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IoT-Driven Healthcare: A New Era of Connected Care 2

IoT-Driven Healthcare: A New Era of Connected Care

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2nd international conference on advances in Computation, Communication and Information Technology, ICAICCIT 2024

作者： Chophla, Elisha Sharda, Sanchita Madan, Suman Chopra, Ankita Department of Information Technology Jagan Institute of Management Studies Sec- 5 Rohini Delhi India Department of Information Technology ATLAS SkillTech University Mumbai India

ISBN: (纸本)9798331541217

With science and technologies taking quantum leaps, the Internet of Things (IoT) has come out as a revolutionary force in global connectivity, bridging the physical and digital realms through sensor and actuator interfaces. Even in the healthcare sector, it enhances medical efficiency and patient care. It connects devices and enables intelligent data-driven systems. This study works towards delving into IoT's fundamentals and its deployment in the healthcare domain. It presents the outline of IoT's structure which includes a variety of technologies like sensors, embedded intelligence, RFID, and nanotechnology. It illustrates how these technologies facilitate connectivity and data exchange between interconnected devices. The paper emphasizes the relevance of the Internet of Things in healthcare. This comprises wearable ECG monitoring, applications in home mobile healthcare systems, and fog-computing architecture for preventive healthcare. Altogether, the paper focuses on expanding the importance of IoT in restructuring healthcare and improving the quality of life. © 2024 IEEE.

关键词： Fog computing

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Environmental Monitoring with Machine Learning 1

Environmental Monitoring with Machine Learning

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

作者： Sikarwar, Shailendra Singh Kumar, Sunil Meghwal, Lakshita Varshney, Manoj Roy, Swapnila Kumar, Ravi PGV College Dept. of Computer Science Gwalior India Madhav University Dept. of Pharmacy Pindwara India Mangalayatan University Dept. of Computer Eng. and Applications Aligarh India Lingayas Vidyapeeth Dept. of Chemistry Faridabad India J.S. University Dept. of Agriculture Shikohabad India

ISBN: (纸本)9798350356816

data science is poised to transform environmental monitoring by boosting the precision, scope, and effectiveness of environmental assessments. Emerging technologies, including powerful machine learning algorithms, big data analytics, and remote sensing, are offering unprecedented capabilities in acquiring and evaluating environmental data. These developments permit more precise projections of ecological changes, real-time monitoring through vast sensor networks, and thorough climate modeling. Looking ahead, data science will drive creative approaches to environmental management, enabling tools for proactive decision-making and more effective resource management. The democratization of data science tools will also broaden stakeholder engagement, enabling communities and policymakers alike. By harnessing these future breakthroughs, data science has the prospect addressing important environmental concerns and creating sustainable solutions for a healthy planet. © 2024 IEEE.

关键词： Environmental monitoring

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Secure Messaging using Blockchain Technology 15

Secure Messaging using Blockchain Technology

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Ruby, D. Magadum, Hrishikesh Vellore Institute of Technology School of Computer Science and Engineering Vellore India

ISBN: (纸本)9798331300579

All messaging platforms rely on a centralized server which has the vulnerability of getting hacked by outside agencies and posing risk to private data. Authentication between users is an important asset in electronic messaging today, which is one of the most widely used network applications. By replacing the need for reliable mediators, blockchain technology overcomes these threats and allows for a reduction in power-intensive operations. In this work, we propose a blockchain-based solution for secure messaging. Blockchain-based communication can increase communication effectiveness and security, and this paper proposes the creation of a blockchain-based messaging model that will improve the performance and security of blockchain-recorded data, with a smart contract to verify ownership. The system is still fully distributed and allows users to exchange messages securely. This paper has tried to implement a blockchain with a few users and implemented secure end-to-end encryption using the SHA-256 algorithm and multiple crypto techniques so that messages cannot be vulnerable. © Grenze Scientific Society, 2024.

关键词： Instant messaging applications

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A Review on Secure Healthcare Management using Blockchain Technology 15

A Review on Secure Healthcare Management using Blockchain Te...

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Kala, L. Rajesh, A. Computer Science and Engineering Karnataka Bangalore India

ISBN: (纸本)9798331300579

The major objective of our work is to develop a secure healthcare system employing blockchain technology. When taking into account real-world scenarios in healthcare, the implementation is made possible by the integrity, security, and interoperability of blockchain, utilizing the programming language Solidity and other tools and methods like ***, and Athena. Blockchain is built on the Ethereum network. In the secure healthcare system, a patient can schedule an appointment simply by logging into the application, regardless of the location or time. With the use of the hash key, all of the entered data is recorded on the blockchain. A distinct hash value in the blockchain is mapped to the patient ID. Decentralized blockchain-based solutions for smart healthcare tend to boost system performance. To validate the suggested strategy, this paper simulates the healthcare system. Blockchain technology has been discovered to have been used in practically every domain due to its benefits, including crypto-security, transparency, immutability, and a decentralized data network. In the modern era, a blockchain-based secure healthcare system offers security, effectiveness, transparency, and quick and easy access. © Grenze Scientific Society, 2024.

关键词： Ethereum

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A Real-Time Worker's Monitoring System using Deep Learning 15

A Real-Time Worker's Monitoring System using Deep Learning

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15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Harshavardhan, L. Kumar, Girish T.P. Gowda, Jayanth B.R. Keerthan, B.K. Bevinatti, Mohan K.S. Dept.of Computer Science and Engineering BGS Institute of Technology Karnataka BG Nagara India

ISBN: (纸本)9798331300579

The Real-Time Worker Monitoring System employing deep learning and web integration represents a cutting-edge solution for enhancing workplace safety and *** advanced deep learning algorithms, this system continuously analyzes real-time data from various sensors, such as cameras and wearable devices, to monitor workers' activities and *** integration with web platforms enables instant access to the monitored information, facilitating seamless communication and *** providing timely insights into worker behavior and environmental factors, this innovative system not only promotes a safer work environment but also optimizes productivity through informed management *** the convergence of deep learning technology and web integration, this monitoring system stands at the forefront of workplace safety solutions, offering a robust framework for real-time insights and proactive intervention. © Grenze Scientific Society, 2024.

关键词： Decision making

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