Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential

Kashyap, Ramgopal

doi:10.1007/978-3-030-03359-0_9

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2019

2024

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Cited by 9 publications

References 46 publications

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The Role of Stream Data in Advancing Sustainable Agriculture Practices

Bhagyalakshmi,

Ahamed

et al. 2024

2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET)

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The Role of Stream Data in Advancing Sustainable Agriculture Practices

Bhagyalakshmi,

Ahamed

et al. 2024

2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET)

View full text Add to dashboard Cite

Analyzing the Trade-Offs Between Model Size and Approximation in Deep Learning

K.,

Padmanabhan,

Kaushik

2024

2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET)

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Machine Learning, Data Mining for IoT-Based Systems

Kashyap

2019

Advances in Data Mining and Database Management

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This chapter will addresses challenges with the internet of things (IoT) and machine learning (ML), how a bit of the trouble of machine learning executions are recorded here and should be recalled while arranging the game plan, and the decision of right figuring. Existing examination in ML and IoT was centered around discovering how garbage in will convey garbage out, which is extraordinarily suitable for the extent of the enlightening list for machine learning. The quality, aggregate, availability, and decision of data are essential to the accomplishment of a machine learning game plan. Therefore, the point of this section is to give an outline of how the framework can utilize advancements alongside machine learning and difficulties get a kick out of the chance to understand the security challenges IoT can be bolstered. There are a few extensively unmistakable counts open for ML use. In spite of the way that counts can work in any nonexclusive conditions, there are specific standards available about which figuring would work best under which conditions.

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Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential

Cited by 9 publications

References 46 publications

The Role of Stream Data in Advancing Sustainable Agriculture Practices

The Role of Stream Data in Advancing Sustainable Agriculture Practices

Analyzing the Trade-Offs Between Model Size and Approximation in Deep Learning

Machine Learning, Data Mining for IoT-Based Systems

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