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A survey on application of machine learning in computer aided diagnosis.
E. Abhuday Tripathi
Pages: 1-7 | First Published: 05 Sep 2022
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Abstract
In this paper we have analyzed the usefulness of machine learning algorithm in the field of medical image analysis. Machine learning algorithms are very promising techniques and they are very successful in analyzing the data. As the amount and types of image generated in healthcare industry is growing very fast various machine learning algorithm are used to analyze the image and decide treatment of the patient. In this article I have tried to analyze the role of machine learning algorithm in the field of health care. Although different models are used neural network is most popular of those. It has to be customized according to the requirement of the problem.

 Keywords: Medical image analysis, machine learning, deep learning

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Digital Economy and Its Collision of Black Money, Corruption and Demonetization
V. Muralidharan
Pages: 22-30 | First Published: 05 Sep 2022
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Abstract
In the present era, issue of BLACK MONEY has come into forefront of the society with active participation of our youth and parliament. At the stroke of the hour on midnight of 9th November 2016, India lost 86% of its monetary base. The electronic and social media has been praising Prime Minister’s masterstroke by which he has reportedly destroyed the base of corruption in India. In this single move, the Government has attempted to tackle all the three
issues affecting the economy i.e. a parallel economy, counterfeit currency in circulation and terror financing. Demonetization has brought a sense of justice among honest taxpayers and this would be further strengthened if the money recovered is used by the government efficiently and in a leak-proof manner for infrastructure development and social schemes.
Keywords: Black Money, Corruption, Demonetization Effect, Present Status, Future Challenges, and their effects.

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11. Black Money, Corruption and DemonetisationBY DR. MARTIN PATRICK · NOVEMBER 10, 201612. The Big Picture- Impact of DemonetizationBY INSIGHTS · NOVEMBER 16, 2016
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Brunt of Digitalization on the Banking Region
Dr. N. Anitha
Pages: 31-34 | First Published: 05 Sep 2022
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Abstract
“Digital” is the new buzz word in all sectors. With other sector, banking is also all around the globe shifting towards digitalization. Digitization is the conversion of data into a digital format with the adoption of technology. Adoption of digitalization is very important for the banking sector. By acceptance of digitalization, banks can provide enhanced customer services. This provides convenience to customers and helps in saving time. Digitalization reduces human error and thus builds customer loyalty. Today, people have round-the-clock access to banks due to online banking. Managing large amounts of cash has also become easier. Digitalization has also helped customers by facilitating cashless transactions. Customers need not store cash anymore and can make transactions at any place and time.
Keywords: Embracing, cashless, Digitalization…

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2. Boot A. (2016) ‘Understanding the Future of Banking Scale & Scope Economies, and FinTech’, University of Amsterdam, mimeo.
3. P.Ravilochan: Research methodology Margham Publications (2013)
4. Reserve Bank of India, „Handbook of Statistics on Indian States‟, 20175. Verdier M. and Mariotto R. (2015) ‘Innovation and Competition in Retail Banking’, Communications & Strategies, 98, pp. 129-145.