Chapter 10 Machine learning for weather forecasting

Dadhich, Shruti; Pathak, Vibhakar; Mittal, Rohit; Doshi, Ruchi

doi:10.1515/9783110702514-010

Cited by 14 publications

(3 citation statements)

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“…We stated in the previous section that the image contains an object, whether a human or something, to determine the area of the object more accurately, using a region-based convolutional neural network algorithm [69][70][71][72][73][74][75][76]. The central concept of this algorithm is area proposals.…”

Section: Region-based Convolutional Neural Networkmentioning

confidence: 99%

The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison

Mijwil

Aggarwal

Doshi

et al. 2022

AJAS

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Deep learning techniques have become vital in many fields in the modern era because they are excellent at analysing and predicting real big data to act in different situations. Although it is marvellous in many aspects, it is prone to misinterpretation of data, so teams of experienced specialists cannot be dispensed with in following up on the execution stages of data analysis. Convolutional Neural Network is one of the most significant deep learning techniques. It is widely employed in visual image analysis. In this article, R-CNN and Fast R-CNN are summarised and compared and are the best in image analysis. This article concluded that the most suitable performance is for Fast R-CNN in testing and training.

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Section: Region-based Convolutional Neural Networkmentioning

confidence: 99%

The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison

Mijwil

Aggarwal

Doshi

et al. 2022

AJAS

View full text Add to dashboard Cite

show abstract

“…In addition, the data brought from all contact points with clients and customers can be used, where if it is managed in a very acceptable manner, it will support organisations in creating customised marketing responses, making very cool and new ideas, and designing professional products and services. In other words, it will provide high value to customers and gain a competitive advantage that puts the organisation in the forefront [30][31][32][33][34][35][36][37][38][39].…”

Section: Customer Relationship Managementmentioning

confidence: 99%

Deep Learning Applications and Their Worth: A Short Review

Mijwil

Mutar

Mahmood

et al. 2022

AJAS

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Deep learning has become a favoured trend in many applications serving humanity in the past few years. Since deep learning seeks useful investigation and can learn and train huge amounts of unlabelled data, deep learning has been applied in many fields including the medical field. In this article, the most noteworthy applications of deep learning are presented shortly and positively, they are image recognition, automatic speech recognition, natural language processing, drug discovery and toxicology, customer relationship management, recommendation systems and bioinformatics. The report concluded that these applications have a significant and vital role in all areas of life.

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“…14,15 The brain tumor segmentation (BraTS) technique is employed to analyze tumor mass and diagnose the sudden growth. 16,17 However, in contrast, an examination of a human is prone to errors and requires more time and resources to identify and classify the brain MRI tumor. Brain tumor detection can be further divided into supervised and unsupervised approaches.…”

Section: Introductionmentioning

confidence: 99%

(Retracted) Deep belief network-based image processing for local directional segmentation in brain tumor detection

et al. 2023

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The Editor-in-Chief and the publisher have retracted this article, which was submitted as part of a guest-edited special section. An investigation uncovered evidence of systematic manipulation of the publication process, including compromised peer review. The Editor and publisher no longer have confidence in the results and conclusions of the article. RD, KKH, BPD, and AKV either did not respond directly or could not be reached.

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Chapter 10 Machine learning for weather forecasting

Cited by 14 publications

References 0 publications

The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison

The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison

Deep Learning Applications and Their Worth: A Short Review

(Retracted) Deep belief network-based image processing for local directional segmentation in brain tumor detection

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