Thermal and Energy Efficient RAM Design on 28nm for Electronic Devices

Singla, Diksha; Sachdeva, M.S.; Malhotra, Divya; Singh, Harshmeet

doi:10.17485/ijst/2016/v9i21/94832

Cited by 5 publications

(2 citation statements)

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“…The effectiveness of data analysis outcomes is contingent upon the analytical abilities of em effectively extract valuable insights from data, while those lacking such skills may struggle, resulting in a waste of data resources [7]. To address this, enterprises must establish platforms for data analy their development journey, striving for higher efficiency at lower costs [8].…”

Section: Impact On Decision-making Systemsmentioning

confidence: 99%

AI-Driven Analytics: Transforming Data Platforms for Real-Time Decision Making

Althati,

Arasu Malaiyappan,

Shanmugam

2024

JAIGS

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AI-driven analytics represents a transformative paradigm shift in data platforms, enabling real-time decision-making capabilities across various domains. This paper explores the integration of artificial intelligence (AI) technologies into data platforms, elucidating their role in accelerating insights generation and facilitating agile decision-making processes. By harnessing advanced machine learning algorithms, AI-driven analytics empower organizations to extract actionable insights from vast datasets, thereby driving innovation and enhancing operational efficiency. Through a comprehensive analysis, this study delineates the key components and methodologies underlying AI-driven analytics and examines their impact on transforming traditional data platforms into agile, adaptive ecosystems conducive to real-time decision-making.

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Section: Impact On Decision-making Systemsmentioning

confidence: 99%

AI-Driven Analytics: Transforming Data Platforms for Real-Time Decision Making

Althati,

Arasu Malaiyappan,

Shanmugam

2024

JAIGS

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“…More recently, integrity checking methods using the Co-Check scheme, based on Boneh-Lynn-Shacham (BLS) signatures and homomorphic tags, have been explored . Homomorphism, as defined by [8], is a property allowing a problem in one algebraic system to be converted, solved in another system, and converted back, enabling third parties to view and use encrypted information if they have the right tools. Homomorphic encryption allows operations or calculations on encrypted data without needing to decrypt it first.…”

Section: Enhanced Security Mechanisms In Multi-cloud Environmentsmentioning

confidence: 99%

Securing Multi-Cloud Architectures: A Machine Learning Perspective

Mamidi

2024

JAIGS

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Multi-cloud computing, the utilization of multiple cloud computing services in a single heterogeneous architecture, has gained significant traction in recent years due to its potential for enhancing flexibility, resilience, and performance. This paper provides an overview of multi-cloud computing, exploring its key concepts, advantages, challenges, and best practices. It examines the motivations behind adopting multi-cloud strategies, the various deployment models, management approaches, and emerging trends. Additionally, the paper discusses the implications of multi-cloud computing for security, interoperability, and vendor lock-in. Through a comprehensive analysis, this paper aims to offer insights into the complexities and opportunities associated with multi-cloud environments.

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