Suchergebnisse - Introduction to IoT with Machine Learning and Image Processing Using Raspberry Pi~

  1. 1

    Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi von Kulkarni, Shrirang Ambaji, Gurupur, Varadraj P., Fernandes, Steven L.

    ISBN: 9781138543522, 1138543527, 036749373X, 9780367493738
    Veröffentlicht: Boca Raton CRC Press 2020
    “… Another technology on the horizon is the Internet of Things (IoT). This book tries to address IoT, Python and Machine Learning along with a brief introduction to Image Processing …”
    Volltext
    E-Book Buch
  2. 2

    Introduction to IoT with machine learning and image processing using Raspberry Pi von Smith, J M

    ISSN: 0009-4978, 1943-5975
    Veröffentlicht: Middletown American Library Association dba CHOICE 01.11.2021
    Veröffentlicht in Choice (Middletown) (01.11.2021)
    Volltext
    Book Review
  3. 3

    Kulkarni, Shrirang Ambaji. Introduction to IoT with machine learning and image processing using Raspberry Pi von Smith, J.M

    ISSN: 0009-4978
    Veröffentlicht: American Library Association CHOICE 01.11.2021
    Veröffentlicht in Choice (Middletown) (01.11.2021)
    Volltext
    Book Review
  4. 4

    Potato disease prediction using machine learning, image processing and IoT - a systematic literature survey von Gupta, Ayushi, Chug, Anuradha, Singh, Amit Prakash

    ISSN: 1542-7528, 1542-7536, 1542-7536
    Veröffentlicht: Philadelphia Taylor & Francis 03.03.2024
    Veröffentlicht in Journal of crop improvement (03.03.2024)
    “… Several machine learning, IoT based and image processing techniques have been utilized for this purpose, and this paper aims to survey all such methods and prediction models …”
    Volltext
    Journal Article
  5. 5

    Infant Care Assistant using Machine Learning, Audio Processing, Image Processing and IoT Sensor Network von Lobo, Crispin, Chitrey, Ajinkeya, Gupta, Pradeepti, Sarfaraj, Chaudhari, Archana

    Veröffentlicht: IEEE 01.07.2020
    “… This paper aims to showcase an Infant Care Assistant which employs IoT sensor network and Raspberry Pi to collect data on the current state of the infant and its surrounding and automation techniques …”
    Volltext
    Tagungsbericht
  6. 6

    BinWare: Intelligent Waste Segregation Using Machine Learning, Image Processing and IoT von Aggarwal, Shruti, Verma, Anil K, Kashyap, Kunal, Dhawan, Nitesh, Kalra, Sachin, Bansal, Mayank

    Veröffentlicht: IEEE 10.10.2022
    “… Proper waste segregation is the need of the hour. Machine learning and IoT have large potential to create intelligent waste segregation systems …”
    Volltext
    Tagungsbericht
  7. 7

    A Solution to Water Leakage Detection Using IoT, Image Processing and Machine Learning von Islam, Mohammed Rezwanul

    ISBN: 9798290600000
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2024
    “… Water leakage is a pervasive global concern with significant economic, social, and environmental impacts. It can damage buildings, contaminate water supplies, …”
    Volltext
    Dissertation
  8. 8
  9. 9
  10. 10

    Optimization Techniques for Machine Learning Inference and Near Memory Image Processing in Hardware for Highly Constrained IoT Edge Nodes von Joshi, Rajeev

    ISBN: 9798379917838
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2023
    “… This research focuses on addressing the demand for fast, optimized, and energy-efficient machine learning inference engines as well as image processing in IoT edge applications …”
    Volltext
    Dissertation
  11. 11

    Dimensionality reduction for images of IoT using machine learning von Ali, Ibrahim, Wassif, Khaled, Bayomi, Hanaa

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 26.03.2024
    Veröffentlicht in Scientific reports (26.03.2024)
    “… This paper explores the merging of cloud and edge computing for IoT and investigates approaches using machine learning for dimensionality reduction of images on the edge, employing the autoencoder …”
    Volltext
    Journal Article
  12. 12

    Processing IoT Sensor Fire Dataset Using Machine Learning Techniques von Suklabaidya, Sudip, Das, Indrani

    Veröffentlicht: IEEE 03.02.2023
    “… Automatic fire detection now-a-days is important in Smart Home Management. Here in this study, popular machine learning algorithms viz …”
    Volltext
    Tagungsbericht
  13. 13

    Bringing intelligence to IoT Edge: Machine Learning based Smart City Image Classification using Microsoft Azure IoT and Custom Vision von Ali, Omer, Ishak, Mohamad Khairi

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.04.2020
    Veröffentlicht in Journal of physics. Conference series (01.04.2020)
    “… This paper discusses the real-time object detection and classification using Microsoft Custom Vision multi-class Machine Learning (ML …”
    Volltext
    Journal Article
  14. 14

    IoT-based AQI Estimation using Image Processing and Learning Methods von Nilesh, Nitin, Patwardhan, Ishan, Narang, Jayati, Chaudhari, Sachin

    Veröffentlicht: IEEE 26.10.2022
    “… Object detection and localization-based Deep Learning (DL) method along with image processing techniques were used to extract image features while an Machine Learning (ML …”
    Volltext
    Tagungsbericht
  15. 15

    An automated brain tumor detection and classification from MRI images using machine learning techniques with IoT von Budati, Anil Kumar, Katta, Rajesh Babu

    ISSN: 1387-585X, 1573-2975
    Veröffentlicht: Dordrecht Springer Netherlands 01.09.2022
    Veröffentlicht in Environment, development and sustainability (01.09.2022)
    “… This proposed work introduces a machine learning technique (MLT) to recognize and classify the tumorous or non-tumorous regions based on the brain MRI dataset …”
    Volltext
    Journal Article
  16. 16

    IoT Enabled Early Detection of Lung Cancer Using CT Scan Images and Machine Learning Techniques von Rath, Satya Brata, Pavan Kumar, A.V.S, Kumar Swain, Vishal, Padhy, Neelamadhab, Panigrahi, Rasmita, Sahu, Tirupati

    Veröffentlicht: IEEE 19.12.2024
    “… for which early detection is crucial for improving treatment outcomes. Objective: The objective is to develop and evaluate deep learning models for lung cancer detection using CT scans …”
    Volltext
    Tagungsbericht
  17. 17

    Optimizing IoT Device Communication Using Machine Learning for Real-Time Data Processing in Smart Environments von Ali Hussein Al Naffakh, Hussein, Alnawayseh, Saif. E. A., Essa, Reyad Omran, Rasheed, Dima Haider, Ghwanmeh, Sameh

    Veröffentlicht: IEEE 01.05.2025
    “… environments The study addresses these challenges by machine learning (ML) techniques for optimizing IoT connectivity …”
    Volltext
    Tagungsbericht
  18. 18

    A seismic signal processing framework using machine learning on an IoT devices for in the field pre-processing von Landschulze, Marcus

    Veröffentlicht: Washington American Geophysical Union 21.12.2020
    Veröffentlicht in Earth and Space Science Open Archive ESSOAr (21.12.2020)
    “… Using machine learning in geophysics is often considered as a fast approach to process or interpret seismic data, but the challenge is to get enough data to train the machine learning core …”
    Volltext
    Paper
  19. 19

    A systematic review of innovations for real-time image security in IoT applications using machine learning and blockchain von Rai, Manish, Kumar, Sunil, Rathore, Pramod Singh

    ISSN: 0956-5515, 1572-8145
    Veröffentlicht: New York Springer US 01.12.2025
    Veröffentlicht in Journal of intelligent manufacturing (01.12.2025)
    “… Image security in the context of Internet of Things (IoT) has gained significant attention due to the increasing demand for timely and effective protection against unauthorized access and tampering …”
    Volltext
    Journal Article
  20. 20

    Chapter 20 - A real-time performance monitoring model for processing of IoT and big data using machine learning von Mishra, Eesha, Kumar, Santosh

    ISBN: 9780128240557, 0128240555, 0128240547, 9780128240540
    Veröffentlicht: Elsevier Inc 2022
    “… In this chapter, a real-time monitoring model that uses IoT-based sensors, big data handling, and hybrid model is proposed …”
    Volltext
    Buchkapitel