Author

Sarvar Iskandarov Baltabaevich

Department of Mathematical Analyze Urgench State University , Urgench city, 220100, Uzbekistan

Published papers: 4
Citations: 0
Views: 575
Downloads: 39

Publications

4 papers

Open Access Research Article·pp. 617–625·Vol. 29, Issue 3Mar 2026

Enhancing healthcare decision support systems with fuzzy mathematical models

S. Mohan Mahalakshmi Naidu, Uma Bhardwaj, Naveen Tewari, Anil Hingmire, Sarvar Iskandarov Baltabaevich, Rina Suresh Patil

Published Online: 18 Mar 2026DOI: 10.47974/JIM-2496

In this paper: Fuzzy mathematical models assist physicians in making superior choices because of the ambiguity and inaccuracy of patient entries. This study aims at improving the performance of medical accuracy thro...

Abstract References Full Text PDF (490 KB)Views: 89Downloads: 11Citations: 0

Open Access Research Article·pp. 789–796·Vol. 29, Issue 2-BFeb 2026

Designing AI-driven information security protocols using discrete mathematical models

Priti C. Golar, Purushottam D. Shobhane, Sarvar Iskandarov Baltabaevich, Priya Karemore, Seema Kedar, Pragati Dubey

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2525

In this paper: This study uses advanced artificial intelligence (AI) methods and discrete mathematical models to show a new way to create information security measures. Using vector measure spaces, orthogonal sets,...

Abstract References Full Text PDF (375 KB)Views: 103Downloads: 8Citations: 0

Open Access Research Article·pp. 1033–1040·Vol. 29, Issue 2-BFeb 2026

Exploring advanced data security challenges and solutions in intelligent network substation

Anindita Khade, Anand B. Deshmukh, Gayatri Mirajkar, Ganesh Jorvekar, Prolay Ghosh, Sarvar Iskandarov Baltabaevich

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2642

In this paper: Modern smart grids are held together by intelligent network substations that allow data to be sent and received in real time, tracking to be done from afar, and decisions to be made automatically. But...

Abstract References Full Text PDF (414 KB)Views: 119Downloads: 10Citations: 0

Open Access Research Article·pp. 759–767·Vol. 29, Issue 2-BFeb 2026

AI-based cryptanalysis of classical and post-quantum encryption methods

Pradeep Kundlik Deshmukh, S. Kishore Verma, Pundlik Dattatray Jadhav, Sarvar Iskandarov Baltabaevich, Vandana Vijaykumar, Arun Khatri

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2522

In this paper: The use of artificial intelligence (AI) in cryptanalysis has changed the way that both traditional and post-quantum encryption methods are evaluated. This research shows a complete plan that uses AI m...

Abstract References Full Text PDF (620 KB)Views: 264Downloads: 10Citations: 0