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Journal Photo for Frontiers in Engineering and Technology
Peer reviewed only Open Access

Frontiers in Engineering and Technology (FET)

Publisher : IAEME Publication
Machine Learning Algorithms Natural Language Processing (NLP) Deep Learning
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e-ISSN 3065-4262
Issue Frequency Monthly
Est. Year 2020
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@iaeme.com

Journal Descriptions

Frontiers in Engineering and Technology (FET) aims to provide a high-quality platform for researchers, academicians, industry professionals, and policymakers to share and disseminate innovative research and technological advancements in the field of engineering and technology. The journal seeks to promote interdisciplinary collaboration, drive technological innovation, and address global challenges through cutting-edge research and practical applications. Frontiers in Engineering and Technology (FET) publishes high-quality, peer-reviewed research articles, review papers, and case studies that explore innovative advancements and technological breakthroughs in the field of engineering and technology. The journal aims to provide a platform for researchers, academicians, and industry professionals to share knowledge and promote interdisciplinary research.

Frontiers in Engineering and Technology (FET) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Machine Learning Algorithms, Natural Language Processing (NLP), Deep Learning, Computer Vision, Data Science, Artificial Intelligence, Machine Learning, Big Data, Cybersecurity, Information Protection, Software Engineering and Development, Networking, Communication, Computational Intelligence and Automation , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3065-4262, Established: 2020,
  • Provides Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of FET

AUTONOMOUS ORCHESTRATION OF VIRTUALIZED RESOURCES IN CLOUD ENVIRONMENTS USING REINFORCEMENT LEARNING AND DISTRIBUTED CONTROL MECHANISMS
Aberjhani Abiola March, 2020
Cloud computing environments require intelligent orchestration of virtualized resources to optimize performance, minimize costs, and ensure scalability. Traditional resource allocation mecha...
COST-EFFICIENT AND ENERGY-AWARE MULTI-OBJECTIVE OPTIMIZATION ALGORITHMS FOR DATA PROCESSING IN HETEROGENEOUS BIG DATA FRAMEWORKS
K. Frank May, 2021
As Big Data applications continue to grow, energy efficiency and cost management have become critical concerns in heterogeneous computing environments. Traditional resource allocation and jo...
INTEGRATING AI POWERED EDGE COMPUTING FOR SCALABLE AND EFFICIENT INTERNET OF THINGS APPLICATIONS
Kennedy Toole March, 2023
The rapid expansion of the Internet of Things (IoT) has led to challenges in data processing, latency, and energy efficiency. Traditional cloud computing models struggle with real-time data ...
ENHANCING NATURAL LANGUAGE PROCESSING THROUGH TRANSFORMER MODELS AND LARGE SCALE PRETRAINED NETWORKS
Siva Pominathan July, 2023
Natural Language Processing (NLP) has seen significant advancements with the introduction of Transformer models and large-scale pre-trained networks. These architectures have enabled improve...
HARNESSING BIG DATA ANALYTICS FOR OPTIMIZING BUSINESS INTELLIGENCE AND ENHANCING CONSUMER INSIGHTS
J. D. January, 2025
Big Data Analytics (BDA) has revolutionized the way businesses operate, offering data-driven insights that optimize business intelligence (BI) and enhance consumer understanding. This paper ...
AUTONOMOUS THREAT INTELLIGENCE AND MACHINE LEARNING-BASED CYBER DEFENSE MECHANISMS FOR SECURING IOT AND EDGE COMPUTING ECOSYSTEMS
Nathaniel Ernest March, 2025
The proliferation of the Internet of Things (IoT) and Edge Computing has significantly expanded the attack surface for cyber threats. Traditional security mechanisms struggle to keep pace wi...
AN EXTENSIVE INVESTIGATION INTO ADVANCED DATA SCIENCE METHODOLOGIES, MACHINE LEARNING ALGORITHMS, STATISTICAL INFERENCE, BIG DATA ANALYTICS, AND THEIR...
mj iaeme January, 2022
Data science has emerged as a multidisciplinary field that integrates advanced methodologies, machine learning algorithms, statistical inference, and big data analytics to drive intelligent ...