Home > Articles > All Issues > 2026 > Volume 14, No. 3, 2026 >
JOIG 2026 Vol.14(3):477-492
doi: 10.18178/joig.14.3.477-492

Brain Fog Consortium Image Analysis Through Internet of Things Using Fog Computing in Stratus Cloud

Udayakumar Allimuthu 1,*, S. Renuga 2, R. Devi Kala 3, N. Rajendran 4, Shermin Shamsudheen 5, and D. Giji Kiruba 6
1 Department of Computer Science Engineering, School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India
2 Department of Artificial Intelligence and Data Science, Panimalar Engineering College, Tamil Nadu, India
3 Department of Computer Applications, Ethiraj College for Women, University of Madras, Chennai, India
4 Department of Information Technology, School of Computer, Information and Mathematical Sciences, B. S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, India
5 Department of Computer Science, College of Engineering and Computer Science Jazan University, Jazan, Saudi Arabia
6 Department of Electrical and Electronics Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, India
Email: drudayakumara@veltech.edu.in (U.A.); renumerona@gmail.com (S.R.); devikala@ethirajcollege.edu.in (R.D.K.); rajendran.n81@gmail.com (N.R.); sdheen@jazanu.edu.sa (S.S.); d.jijikiruba@gmail.com (D.G.K.)
*Corresponding author

Manuscript received August 22, 2025; revised September 29, 2025; accepted March 4, 2026; published June 12. 2026.

Abstract—The functioning of human organs is regulated by the central hub of the brain. Brain fog is characterized by a sensation of mental cloudiness. It affects the quality of life, memory impairment, and Alzheimer’s disease. Recent investigations have been conducted for the analysis of the brain fog consortium. Brain fog is defined as confusion, diminished mental clarity, forgetfulness, and impaired concentration. Also,it signifies a shortage in nutrients, a sleep disorder, depression, or a thyroid disease. This research proposes the identification of a brain fog consortium utilizing the Internet of Thing (IoT)and fog computing, alongside the suggested stratus cloud system for the brain through IoT integration. It evaluates cognitive impairments, categorizesgenuine diseases, and performsanalyses using a fog computing platform. The proposed study focuses on investigating segmentation diseases and their excision from the brain’s orientational organum, along with prospective detection methodologies within the anatomical structure. The reduction of brain fog can be achieved through the rapid advancement of IoT cloud computing and fog computing services. Experimental results, derived from the data generation of the proposed method, demonstrate efficiency levels in terms of density, affinity ratios, energy consumption, and storage relative to compute time for detecting brain fog. The accuracy of the propagated results is notable, and the implementation within the fog computing gateway is of high qualitative standard.
 
Keywords—brain consortium, fog computing, Internet of Things (IoT) segmentation, brain fog, brain tumor, IoT detection

Cite: Udayakumar Allimuthu, S. Renuga, R. Devi Kala, N. Rajendran, Shermin Shamsudheen, and D. Giji Kiruba, "Brain Fog Consortium Image Analysis Through Internet of Things Using Fog Computing in Stratus Cloud," Journal of Image and Graphics, Vol. 14, No. 3, pp. 477-492, 2026.

Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Article Metrics in Dimensions

PREVIOUS PAPER
Enhancing Autism Classification Accuracy on Facial Images Using a CNN Model Decision Fusion
NEXT PAPER
Last page