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S.No Particular Pdf Page No.
1

  • OPTIMIZATION SEGMENTATION AND CLASSIFICATION FROM MRI OF BRAIN TUMOR AND ITS LOCATION CALCULATION USING MACHINE LEARNING AND DEEP LEARNING APPROACH

    DOI:DOI:18.A003.aarf.J14I01.005145

TIRUVEEDULA GOPI KRISHNA1, MOHAMED ABDELDAIEM ABDELHADI2

Abstract:
The manual detection and classification finding correct location and identifying type of tumor becomes a rigorous and hectic task for the radiologists. Medical diagnosis via image processing and machine learning is considered one of the most important issues of artificial intelligence systems.


1-13
2

Devarshi Chatterjee1and Prof (Dr) Devapriya Chatterjee2

Abstract:
Information Security Risk Management involves more of traditional risk analysis and risk assessment. There are limitations of traditional tools in fundamental ways, such as lack of reliable frequency data about past risk events and the relative rarity of many kinds of risks that need to be managed


14-20
3

1 Ukwu, Chukwunenye&2 Tanko, Ishaya

Abstract:
This research article conceptualized, formulated and designed Excel solution templates and corresponding exposition for optimal production schedules for a certain class of deterministic inventory problems


21-46
4

FIRAOL ASFAW WODAJO

Abstract:
SOCPs are non-linear convex optimizations. Linear program (LP), quadratic program (QP) and quadratically constrained quadratic programs (QCQP) can all be formulating as SOCP problems.


47-70
5

Dr. Sudesh Rathee

Abstract:
Using fixed point theorems, the primary objective of this study is to provide existence results and stability conditions for a class of fractional order differential equations . Existence findings are derived from Schauder's fixed point theorem and the Banach contraction principle. In addition, the use of Krasnoselskii's fixed point theorem to develop stability conditions for a particular class of fractional order differential equations is given a lot of attention. The usefulness of the stability result is shown via the use of an example. Through using the characteristics of -distance mappings and -admissible mappings, we present the idea of generalized contraction mappings and show the existence of a fixed point theorem for such mappings. This is accomplished by mapping properties. In addition, we extend our conclusion to the theorems of coincidence point and common fixed point in metric spaces. Further, the fixed point theorems that are endowed with an arbitrary binary relation may also be deduced from our conclusions thanks to this line of reasoning.


71-82
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