The International Journal of Next-Generation Computing (IJNGC) is a peer-reviewed journal aimed at providing a platform for researchers to showcase and disseminate high-quality research in the domain of next-generation computing. With the introduction of new computing paradigms such as cloud computing, IJNGC promises to be a high-quality and highly competitive dissemination forum for new ideas, technology focus, research results and sicussions in these areas.


Online ISSN: 0976-5034


Print ISSN :   2229-4678

                             

Announcements

CALL FOR PAPERS

2022-03-22

Research Papers are invited for the Special Issue on the Recent Trends in ICT Using Emerging Technologies.

Current Issue

Volume 15, Issue 3, November 2024

Published: 2024-12-17

Original Research

Agent Enhancement using Deep Reinforcement Learning Algorithms for Multiplayer game (Slither.io)

Rajalakshmi Sivanaiah, Abrit Pal Singh, Aviansh Gupta, Ayush Nanda
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DOI: https://doi.org/10.47164/ijngc.v15i3.1586

Secure Healthcare Monitoring and Attack Detection Framework using ELUS-BILSTM and STECAES

Y. Jani, P. Raajan
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DOI: https://doi.org/10.47164/ijngc.v15i3.1545

An efficient optimized encryption and compression techniques to improve medical image security and transmission in the cloud

D. Jeni Jeba Seeli, K.K. Thanammal
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DOI: https://doi.org/10.47164/ijngc.v15i3.1718

Leveraging Deep Transfer Learning for Precision in Similar Color and Texture-Based Fruit Classification

Anita Bhatt, Maulin Joshi
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DOI: https://doi.org/10.47164/ijngc.v15i3.1592

A Smartphone based Automated Primary Screening of Oral Cancer based on Deep Learning

Rinkal Shah, Jyoti Pareek
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DOI: https://doi.org/10.47164/ijngc.v15i3.1786

AeroNet: Efficient YOLOv7 for Tiny-Object Detection in UAV Imagery

Sushmita Sheeba Dsa
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DOI: https://doi.org/10.47164/ijngc.v15i3.1789

Comparative Analysis of Denoising Methods to Improve Image Quality for Medical Visual Question Answering

Rikita D. Parekh, Hiteishi M. Diwanji
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DOI: https://doi.org/10.47164/ijngc.v15i3.1773

Position Papers / Review Papers

Modern Thyroid Cancer Diagnosis: A Review of AI-Powered Algorithms for Detection and Classification

Kuntala Boruah, Lachit Dutta, Manash Kapil Pathak
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DOI: https://doi.org/10.47164/ijngc.v15i3.1768
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