In the modern era of industry, data modeling, computations and methods play a major role in the commercial world. There is a challenge in implementing computations and methods for bringing out products and solutions to customers in the cutting-edge industry of health care, aerospace, retail, hotels, financial institutions and manufacturing due to demographic and behavioral issues. After assimilating CAMS and computation methods, readers could start thinking towards open problems in industry. This chapter presents challenges and solutions for medical image denoising, EEG signals for digit classification, water quality monitoring, image encryption, fault diagnosis of rotating machinery, cardiac abnormalities and simulation models. Industries have started solving challenges using generalized and greedy methods through CAMS, which serves data models using a cluster of artificial intelligence algorithms, prediction systems for customers’ preferences and computing dynamic offers.

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Industrial Challenges and Solutions

  • Vijayarangan Natarajan

摘要

In the modern era of industry, data modeling, computations and methods play a major role in the commercial world. There is a challenge in implementing computations and methods for bringing out products and solutions to customers in the cutting-edge industry of health care, aerospace, retail, hotels, financial institutions and manufacturing due to demographic and behavioral issues. After assimilating CAMS and computation methods, readers could start thinking towards open problems in industry. This chapter presents challenges and solutions for medical image denoising, EEG signals for digit classification, water quality monitoring, image encryption, fault diagnosis of rotating machinery, cardiac abnormalities and simulation models. Industries have started solving challenges using generalized and greedy methods through CAMS, which serves data models using a cluster of artificial intelligence algorithms, prediction systems for customers’ preferences and computing dynamic offers.