Volume 5 | Issue 2 |

 Abstract

In today's fast-paced and data-driven business landscape, the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies has become a critical imperative for enterprises seeking to gain a competitive edge. This abstract outlines the key themes and insights explored in our comprehensive study on the deployment and impact of AI and ML in the corporate environment. Our research investigates the adoption of AI and ML across various industry sectors, highlighting their transformative potential in optimizing processes, enhancing decision-making, and fostering innovation. We delve into the underlying principles and core applications of these technologies, emphasizing their capacity to automate routine tasks, analyze vast datasets, and unearth valuable insights. Furthermore, we explore the challenges and considerations that organizations encounter when implementing AI and ML solutions, addressing issues related to data privacy, ethics, and workforce reskilling. We also examine the measurable benefits, such as increased efficiency, cost reduction, and improved customer experiences, that enterprises have realized through AI and ML adoption. The abstract underscores the evolving role of AI and ML in redefining business strategies, promoting agility, and opening new avenues for growth. It serves as a preview of our in-depth study, offering valuable insights for business leaders, decision-makers, and professionals eager to harness the power of AI and ML to navigate the complexities of the modern enterprise landscape.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

commercial enterprise, statistics, synthetic intelligence, machine gaining.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

బం ష స పం ష ం

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Creative Commons Attribution 4.0 and The Open Definition

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బం ష స పం ష ం

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Microcontroller, Temperature, Controller, Automatic, PIC8051, DS1621

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Creative Commons Attribution 4.0 and The Open Definition

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This report discusses wind energy and its potential to be used in the future to meet current energy demand. A detailed description of wind turbines and wind generators focused on the connection of generators to the grid and the associated issues. The use of power electronics in circuits and their applications were also highlighted. Finally, voltage stability analysis was performed on different models of wind turbines to find the best way to troubleshoot and achieve optimal performance

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Creative Commons Attribution 4.0 and The Open Definition

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wind turbine, generator, converters, output

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT - Data sharing is an important functionality in cloud storage. In this paper, we show how to securely, efficiently, and flexibly share data with others in cloud storage. We describe new public-key cryptosystems that produce constant-size ciphertexts such that efficient delegation of decryption rights for any set of ciphertexts are possible. The novelty is that one can aggregate any set of secret keys and make them as compact as a single key, but encompassing the power of all the keys being aggregated. In other words, the secret key holder can release a constant-size aggregate key for flexible choices of ciphertext set in cloud storage, but the other encrypted files outside the set remain confidential. This compact aggregate key can be conveniently sent to others or be stored in a smart card with very limited secure storage. We provide formal security analysis of our schemes in the standard model. We also describe other application of our schemes. In particular, our schemes give the first public-key patient-controlled encryption for flexible hierarchy, which was yet to be known.

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Privacy Preserving and Dynamic Key Management for Key Aggregate System in Large Cloud Auditing System

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Creative Commons Attribution 4.0 and The Open Definition

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Exhaust manifolds play a crucial role in enhancing the performance of Internal Combustion (IC) engines, and their design is paramount for optimal functionality. This article focuses on conducting a Computational Fluid Dynamics (CFD) analysis to assess the impact of velocity, temperature, and back pressure on the overall (volumetric) efficiency of exhaust manifolds. Specifically, two different designs of exhaust manifolds are compared in this study. Furthermore, the investigation is extended to evaluate the influence of various fuels, including LPG, alcohol, and gasoline, on the overall efficiency. The obtained results are compared to determine the most effective design for the exhaust manifolds. The CFD analysis is carried out using ANSYS software and FUSION 360 software. Gasoline fuel exhibited lower pressure and velocity values, while type A manifold demonstrated higher pressure values, indicating superior performance and efficiency compared to type B manifold.

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Creative Commons Attribution 4.0 and The Open Definition

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Exhaust manifolds play a crucial role in enhancing the performance of Internal Combustion (IC) engines, and their design is paramount for optimal functionality. This article focuses on conducting a Computational Fluid Dynamics (CFD) analysis to assess the impact of velocity, temperature, and back pressure on the overall (volumetric) efficiency of exhaust manifolds. Specifically, two different designs of exhaust manifolds are compared in this study. Furthermore, the investigation is extended to e

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Creative Commons Attribution 4.0 and The Open Definition

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The Hahn-Banach Theorem is a fundamental result in functional analysis with profound implications in various branches of mathematics. Traditionally, its proofs have been presented using algebraic and analytic techniques. However, this research paper takes a novel approach by providing a geometric insight into the proof of the Hahn-Banach Theorem. By leveraging geometric concepts and visualizations, we aim to enhance the understanding and intuition behind this important result. The paper begins by introducing the Hahn-Banach Theorem and its significance in functional analysis. We then delve into the geometric interpretation of the theorem, highlighting the key geometric ideas that underlie its proof. We explore the geometric notions of separation and convexity, which form the basis for the Hahn-Banach Theorem's geometric formulation. We present a step-by-step geometric proof of the Hahn-Banach Theorem, elucidating the connections between geometric concepts and the mathematical arguments. We employ diagrams, illustrations, and visual aids to aid in the comprehension of the proof, providing readers with an intuitive understanding of the geometric reasoning involved. We discuss the advantages of the geometric approach in terms of its clarity, visualization, and potential for geometric generalizations. We compare and contrast our geometric proof with traditional algebraic and analytic proofs, highlighting the unique insights and advantages offered by the geometric perspective. We discuss applications of the Hahn-Banach Theorem in other areas of mathematics, showcasing the significance of understanding its geometric foundations. We conclude by emphasizing the value of geometric insights in facilitating a deeper understanding of the theorem and its broader implications. This research paper presents a geometric approach to proving the Hahn-Banach Theorem, providing readers with new insights into this fundamental result. By employing geometric intuition and visualization, we aim to enhance comprehension, foster geometric thinking, and promote further exploration of the Hahn-Banach Theorem in both functional analysis and related fields.

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Creative Commons Attribution 4.0 and The Open Definition

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Hahn-Banach Theorem; Geometric proof; Functional analysis; Separation and convexity; Linear functionals

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper we first solve a double convolution integral equation involving the product of the general class of polynomials.On account of the general nature of our main result, solutions of a large number of other double convolution integral equations involving the product of several useful polynomials can also be obtained as its special cases. The one variable analogue of the main result which is also quite general in nature and of interest in itself has also been given. A special caseof this latter result yields a known formula obtained by Srivastava and Buschman (3).

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A STUDY OF CONVOLUTION INTEGRAL EQUATIONS INVOLVING THE GENERAL POLYNOMIALS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

???????? ??? ??????? ??? ???????? ?? ???? ??? ???? ???????? ?????? ??? ???????? ?? ????? ???????? ????? ?????? ???-??? ?? ????? ???? ???? ?????????? ?? ???? ??? ????? ????? ?? ??????? ??? ????? ?? ???? ?????????? ?? ???????? ?? ????? ??? ???????? ?? ??? ???? ???? ??? ???? ??? ???? 1995 ?? ???? ?????? ?? ????????? ???? ???? ??????????? ?? ?? ??? ????????? ?? ???? ??? ????????? ?? ?? ??? ???? ???? ???? ??? ?????? 6 ??? ???? ???? ???? ??? ???, 1998 ??? ???? ???????? ?? ?? ??? ?? ???? ??? ????????? ?????? ?? ?? ?? ??? ???? ????????? ????? ??????? ? ???????? (????????? ?? ??0??) ?? ????? ?????????? ???? ??? ????? ????????? ?? 50-50 ??????? ????? ???? ??? ????? ???? ??? ???? ??? ??? ????? (???????? ) ?? 10 ??? ????? ?? ??????????? ?? ????? ???? ???? ??????? ?? ??????????? ?? ?????????? ???? ??? ????? ?? ?????????? ?? ???????? ??? ?????? ???? ?? ???? ?? ???? ??? ???? ???? ???? ????? ?? ??????? ??????? ?? ?? ??? ???? ?? ??????????? ?? ?????? ???? ?? ?? ??? ???????? ???? ?? ???? ??? ???"

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Creative Commons Attribution 4.0 and The Open Definition

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???????? ??? ?????????? ?? ???? ???????? ?????? ??? ???????? ?? ????? ?? ??????? :

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Panchayati raj ke adhin prathmik shalao me adhyapako ke liye prasikshan vyavstha

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Creative Commons Attribution 4.0 and The Open Definition

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Panchayati raj ke adhin prathmik shalao me adhyapako ke liye prasikshan vyavstha

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Creative Commons Attribution 4.0 and The Open Definition