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    Applications of Optimization and Machine Learning in Image Processing and IoT

    Applications of Optimization and Machine Learning in Image Processing and IoT by Gupta, Nidhi;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 140.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        70 854 Ft (67 480 Ft + 5% VAT)
      • Discount 20% (cc. 14 171 Ft off)
      • Discounted price 56 683 Ft (53 984 Ft + 5% VAT)

    70 854 Ft

    db

    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    This book presents state-of-the-art of optimization algorithms followed by internet of things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics such as optimization, algorithms, machine learning in image processing and IoT.

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    Long description:

    This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT.


    Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing.


    KEY FEATURES:


    ? Includes fundamental concepts towards advanced applications in machine learning and IoT.


    ? Discusses potential and challenges of machine learning for IoT and optimization


    ? Reviews recent advancements in diverse researches on computer vision, networking and optimization field.


    ? Presents latest technologies such as machine learning in image processing and IoT


    This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.

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    Table of Contents:

    CHAPTER1 State-of-the-Art on Evolved Optimization Approaches for Damage Detection in Steel Bridges


    ANSHUL SHARMA


    CHAPTER2 IoT and Its Advancement


    ANUBHAV KUMAR PRASAD, DHARM RAJ SINGH AND ABHISHEK KESHARWANI


    CHAPTER3 Optimal Configuration of IOT Cluster with Full Connectivity with Minimum Transmission Power Using SA and BO Algorithms


    SOWJANYA KOTTE AND SATISH KUMAR INJETI


    CHAPTER4 IoT Optimization for Smart Cities and Mobility in Smart Cities


    NISHA DEVI AND NEHA KISHORE


    CHAPTER5 Application of the Internet of Things in E-Waste Management


    SMRITI SNEHIL, OJASWI VINDHYACHALAM AND KAMALESH KUMAR SINGH


    CHAPTER6 Power of IoT in Smart Healthcare Systems


    CHINU AND URVASHI BANSAL


    CHAPTER7 Verification Scheme for Malicious Routing in the Internet of Things


    BHARTI SHARMA, SAKSHI PATNI AND SUMIT KUMAR MAHANA


    CHAPTER8 Agricultural Applications Using Artificial Intelligence and Computer Vision Technologies


    CHITRANJAN KUMAR RAI AND ROOP PAHUJA


    CHAPTER9 Artificial Intelligence-Based Smart Identi cation System Using Herbal Images: Decision Making Using Various Machine Learning Models


    SANYAM SHARMA, SUBH NAMAN, JAYESH DWIVEDI AND ASHISH BALDI


    CHAPTER10 CNN-Based Fire Prediction Using Fractional Order Optical Flow and Smoke Features


    MUZAMMIL KHAN, PUSHPENDRA KUMAR AND NITISH KUMAR MAHALA


    CHAPTER11 Early Prediction of Cardiac Diseases Using Ensemble Learning Techniques: A-Machine Learning Technique to Deal with Heart Disease Problems


    RIMA SEN AND A. MANIMARAN

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