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  • 1
    ISBN: 9789819915880
    Language: English
    Pages: 1 Online-Ressource(XXI, 747 p. 401 illus., 297 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1447
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Artificial intelligence.
    Abstract: Cross-Site Scripting Recognition using LSTM Model -- Development and Implementation of Efficient Recruitment Portal using Blockchain -- Machine Learning Classifiers Performance Comparison for Breast Cancer Detection -- Comparison of Pollard’s Rho Algorithm based on Cycle Finding Methods -- Smart Street Parking System for Smart Cities Based on The IoT Protype -- A Hybrid PSO-Fuzzy Trust Energy Aware DRP in Wireless Sensor Network -- Online Advertising Dataset Using ANN (Artificial Neural Networks) and LR (Linear Regression Techniques) -- Artificial Intelligence and Deep Learning based Agri & Food Quality and Safety Detection System -- Personalized E-learning System using Linear Regression for Intelligent Tutoring Systems -- Nucleus Segmentation using K – Means Clustering for Analysis of Microscopy Images.
    Abstract: This book features a collection of high-quality, peer-reviewed papers presented at the Sixth International Conference on Intelligent Computing and Communication (ICICC 2022) organized by Department of Computer Science and Engineering, G. Narayanamma Institute of Technology and Science (for women) Autonomous, Hyderabad, India, on November 18–19, 2022. It focuses on innovation paradigms in system knowledge, intelligence, and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment, and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology, and healthcare.
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    ISBN: 9781484236338
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Computer algorithms ; Machine learning ; Big data ; Data integrity ; Electronic books ; local ; Electronic books
    Abstract: Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language. Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitter have played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion. What You'll Learn Understand the problem concerning data veracity and its ramifications Develop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examples Use diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issues Who This Book Is For Software developers and practitioners, practicing engineers, curious managers, graduate students, and research scholars
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed July 3, 2018)
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