Vol. 2 No. 2 (2024): Volume 2, Issue 2 (Apr-Jun; 2024)

Articles

The Next Frontier of Enterprise Transformation: A Comprehensive Analysis of Generative AI as a Catalyst for Organizational Modernization, Intelligent Automation, and Large-Scale Knowledge Acceleration Across Global Digital Ecosystems

Venkat Kishore Yarram, Siva Karthik Parimi

The emergence of generative artificial intelligence (AI) technologies signifies a transformative period in industrial innovation, providing unparalleled abilities for content generation, predictive analytics, and automation. This paper explores the...
97-106
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Articles

ERP Systems in Higher Education Institutions: Adoption, Challenges, and Future Trends

Krishna C Gonugunta, Kornada Leo

Enterprise Resource Planning (ERP) systems have become essential for higher education institutions (HEIs), facilitating centralized management of academic and administrative functions. As HEIs face increasing operational complexities, ERP solutions...
86-96
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Articles

Using Graph Theory to Improve Communication Protocols in AI-Powered IoT Networks

Sai Dikshit Pasham

Growing Internet of Things (IoT) networks incorporating artificial intelligence (AI) requires effective and highly reliable communication schemes to achieve high coverage low latency, and guaranteed performance. The problems presented by real-world...
17-48
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Articles

Mycorrhizal Associations' Significance for Plant Nutrition

Noman Khan, Nida Ilyas, Muhammad Tyyab Gul

Mycorrhizal associations, symbiotic relationships between plant roots and fungi, play a crucial role in plant nutrition and overall ecosystem health. These associations enhance plant nutrient uptake, particularly phosphorus, which is often limited in soils....
1-8
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Articles

Data Quality in Public Administration: Governance, Processes, and Outcomes

Fatima Ibrahim Bennani

Public administration relies on high-quality data for policy development, service delivery, regulatory oversight, and accountability. However, government agencies face persistent data quality challenges that compromise their effectiveness and erode public...
107-112
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Articles

Machine Learning Models for Predicting Ransomware Attacks on Critical Public Health Infrastructure: A Cross-National Study

Praveen Kumar Pemmasani, Chinedu Okara

Machine learning (ML) models have emerged as powerful tools in cybersecurity, offering proactive threat detection and risk mitigation capabilities. This study examines the effectiveness of ML models in predicting ransomware attacks on critical public health...
75-85
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Articles

Improving Distributed Cloud Data Engineering with AI-Powered Failure Prediction Systems

Dillep Kumar Pentyala

he exponential adoption of distributed cloud systems has imposed heretofore unseen demands as to data dependability, redundancy, and process performance. The conventional failure detection techniques can only provide a partial solution to the dynamic nature...
48-74
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Articles

Mechanisms of Stress Tolerance in Halophytic Plants

Daud Ahmad Khan, Noman Khan, Nida Ilyas, Muhammad Tyyab Gul

Halophytic plants, known for their ability to thrive in high-salinity environments, exhibit unique stress tolerance mechanisms that enable their survival under extreme conditions. These mechanisms encompass physiological, biochemical, and molecular...
9-16
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Vol. 2 No. 2 (2024): Volume 2, Issue 2 (Apr-Jun; 2024)

The Next Frontier of Enterprise Transformation: A Comprehensive Analysis of Generative AI as a Catalyst for Organizational Modernization, Intelligent Automation, and Large-Scale Knowledge Acceleration Across Global Digital Ecosystems

ERP Systems in Higher Education Institutions: Adoption, Challenges, and Future Trends

Using Graph Theory to Improve Communication Protocols in AI-Powered IoT Networks

Mycorrhizal Associations' Significance for Plant Nutrition

Data Quality in Public Administration: Governance, Processes, and Outcomes

Machine Learning Models for Predicting Ransomware Attacks on Critical Public Health Infrastructure: A Cross-National Study

Improving Distributed Cloud Data Engineering with AI-Powered Failure Prediction Systems

Mechanisms of Stress Tolerance in Halophytic Plants

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