Entrepreneurial Innovation and Export Diversification: Strategies for India's Global Trade Expansion

Yerram, Sridhar Reddy; Varghese, Aleena

doi:10.18034/ajtp.v5i3.692

Cited by 23 publications

(16 citation statements)

References 18 publications

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“…The Security and Privacy Framework in ImpactLens AI is critical to maintaining the integrity and trustworthiness of the tool (Yerram & Varghese, 2018;Tuli & Kaluvakuri, 2022)…”

Section: Security and Privacy Frameworkmentioning

confidence: 99%

Harnessing the Power of ImpactLens AI: Transforming Data into Actionable Intelligence

Saxena

2024

Asian j. appl. sci. eng.

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This article explores the transformative potential of ImpactLens AI in turning data into actionable intelligence. The study aims to elucidate the objectives, significance, major findings, and policy implications of leveraging ImpactLens AI in organizations. The objective is to harness advanced machine learning algorithms to analyze data comprehensively, provide real-time insights, and predict future trends. The significance lies in empowering organizations to make informed decisions, drive strategic growth, and stay competitive in dynamic environments. Major findings reveal ImpactLens AI's capability to uncover hidden opportunities, mitigate risks, and achieve tangible results through comprehensive data analysis and predictive analytics. The discussion emphasizes the importance of embracing data-driven decision-making for organizational success. Policy implications suggest the adoption of ImpactLens AI to optimize operations, enhance customer experiences, and drive innovation. Overall, this study highlights the pivotal role of ImpactLens AI in transforming data into actionable intelligence for strategic advantage.

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“…The Security and Privacy Framework in ImpactLens AI is critical to maintaining the integrity and trustworthiness of the tool (Yerram & Varghese, 2018;Tuli & Kaluvakuri, 2022)…”

Section: Security and Privacy Frameworkmentioning

confidence: 99%

Harnessing the Power of ImpactLens AI: Transforming Data into Actionable Intelligence

Saxena

2024

Asian j. appl. sci. eng.

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“…Due to limited material organization control, traditional textile manufacturing methods like knitting and weaving produce homogeneous structures with uniform properties. Hierarchical architecture allows a paradigm shift by precisely controlling fiber orientation and organization at multiple length scales (Yerram & Varghese, 2018). Researchers can tailor textiles to performance requirements by arranging fibers hierarchically.…”

Section: Significance Of Hierarchical Structuringmentioning

confidence: 99%

Hierarchical Structuring of Fibrous Materials: Toward Tailored Properties for High-Performance Textile Products

Mahadasa

2021

Eng. int. (Dhaka)

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This study aims to determine whether fiber materials with hierarchical organization can improve the qualities of textile goods for high-performance uses. The primary goals are to examine functionalization strategies, identify future possibilities in textile engineering, investigate hierarchical structuring methodologies, and analyze hierarchically structured textiles' mechanical and thermal properties. An extensive examination of extant literature and secondary data sources is carried out to examine the approaches, uses, and difficulties related to hierarchical organization. Important discoveries emphasize how hierarchically organized fabrics have improved mechanical strength, thermal behavior, and functional qualities. The discussion of policy implications follows, focusing on the role of industry cooperation, workforce development, sustainability programs, research funding, and industrial collaboration in improving hierarchically structured textiles. The study's findings highlight the revolutionary potential of fibrous materials' hierarchical organization for promoting sustainability and innovation in the textile sector.

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“…The adaptability and scalability of dynamic programming are more benefits. It can handle various project scheduling scenarios, from straightforward single-project schedules to intricate multi-project portfolios (Yerram & Varghese, 2018). Regardless of the scheduling environment-deterministic or stochastic-dynamic programming offers an adaptable framework for deriving ideal solutions and assessing resource allocation issues.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Programming Approaches for Resource Allocation in Project Scheduling: Maximizing Efficiency under Time and Budget Constraints

Goda,

Vadiyala,

Yerram

et al. 2023

ABC j. adv. res.

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This study investigates dynamic programming methodologies for resource allocation in project scheduling, aiming to optimize efficiency while adhering to time and budget limitations. Exploring the theoretical underpinnings of dynamic programming, including time and budget restrictions into resource allocation models, and conducting case studies to assess actual applications are the primary goals of this project. This study utilized a thorough review process, including a synthesis of the relevant literature, an analysis of the case study, and policy implications. Among the most important discoveries are the following: the versatility of dynamic programming techniques in addressing resource allocation challenges across industries, the significance of incorporating time and budget constraints into decision-making processes, and the necessity of addressing limitations related to computational complexity, data requirements, and risk management. In the context of policy consequences, investments in computing infrastructure, data management techniques, and risk mitigation strategies are highlighted. In general, the findings of this study highlight the potential of dynamic programming methodologies to improve the efficiency and effectiveness of resource allocation within the context of a project that is affected by time and financial restrictions.

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Entrepreneurial Innovation and Export Diversification: Strategies for India's Global Trade Expansion

Cited by 23 publications

References 18 publications

Harnessing the Power of ImpactLens AI: Transforming Data into Actionable Intelligence

Harnessing the Power of ImpactLens AI: Transforming Data into Actionable Intelligence

Hierarchical Structuring of Fibrous Materials: Toward Tailored Properties for High-Performance Textile Products

Dynamic Programming Approaches for Resource Allocation in Project Scheduling: Maximizing Efficiency under Time and Budget Constraints

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