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G. A. Ganati

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Open access Oct 2026

Agency, Cognition and Mathematical Learning in Agentic Human–AI Ecosystems

Background The rise of artificial intelligence systems that can make their own goals plan several steps and take initiative in tasks that involve people is changing how students learn math. Earlier technology was mostly a tool thatwaited for instructions. Currently, agentic AI systems are becoming increasingly popular....

Ruhit Bardhan, Suman Das, G. A. Ganati et al. · 0 citations
Open access Sep 2026

Fractional mathematical modeling of dengue fever (DF) in Afar region, Ethiopia

Dengue virus is a viral infection caused primarily by the bite of female Aedes aegypti mosquitoes, and it remains a significant global public health concern. In this study, we present a fractional mathematical model of dengue fever dynamics with harmonic-type incidence to investigate the impact of asymptomatic and hosp...

Lemesa Bedjisa Dano, G. A. Ganati, Fikiru Shiferaw Tessema et al. · 0 citations
Open access Oct 2026

Solving Bi-objective Interval Assignment Problem using Trisectional Fuzzy Trapezoidal Approach

Background The conventional Assignment Problem (AP) may no longer be sufficient to handle real-world problems as they get more multifaceted and incorporate numerous, frequently conflicting objectives. In response, the Bi-Objective Assignment Problem (BOAP) provides an extended optimization framework that enables the si...

V. E. Sobana, T. K. Buvaneshwari, K. Deva et al. · 0 citations
#graph neural networks Open access Oct 2026

A hybrid chemoinformatics approach integrating caputo fractional-derivative graph invariants and artificial neural network for modeling of anti-sickle cell compounds

Cheminformatics focuses on the accurate prediction of physicochemical properties, which plays a crucial role in molecular modeling and materials science, as experimental determination is often time-consuming and costly. In this study, we propose a machine learning based framework for predicting physicochemical prop...

Naveed Iqbal, W. Ahmed, M. Akram et al. · 0 citations
Open access Sep 2026

A Turiyam Graph Approach to Medical Diagnosis

This paper rigorously defines essential operations on turiyam graphs, establishes their properties and demonstrate their applicability to medical diagnosis, and establishes a formal framework for operations on turiyam graphs.

G. A. Ganati, Lemesa Bedjisa Dano, Fikadu Tesgera Tolasa et al. · 0 citations
Open access Sep 2026

Bipolar Turiyam Graph

This article introduced Bipolar Turiyam Graphs (BTGs), detailing their defining characteristics and key parameters, and established the concept of the Bipolar Turiyam Set (BTS), and examined the significance of Bipolar Relations within these graphs.

Fikadu Tesgera Tolasa, V. N. S. R. Repalle, G. A. Ganati et al. · 0 citations
Open access Aug 2026

QSPR modeling of physicochemical properties of SSRI and SNRI antidepressants using advanced molecular graph descriptors

The results of the present study indicate that the neighborhood degree-based topological indices are efficient tools for the development of QSPR models and can be applied in the rational design, screening and optimization of novel antidepressant drugs.

Aqsa Kabeer, Zeeshan Saleem Mufti, Abdulrahman A. Almehizia et al. · 0 citations
Open access Jul 2026

Fuzzy topological analysis of fuzzy Helm graphs with applications to protein interaction networks

In biological and chemical networks, in which the strength of interactions is often not absolute, uncertainty is an inherent feature of many real-world networks. A fuzzy graph consists of vertices with fuzzy memberships and fuzzy relationships among vertices and edges; therefore, fuzzy graph theory is a natural approac...

Zeeshan Saleem Mufti, A. H. Tedjani, Shama Liaqat et al. · 0 citations
Open access Jul 2026

Topological indices and QSPR analysis of drug molecules from different therapeutic classes

The results show that neighbourhood-based descriptors are able to capture molecular structural information and make reliable prediction of properties on structurally diverse drug molecules and provide good justification to use these descriptors in general for chemical graph theory and in QSPR studies without any partic...

Zeeshan Saleem Mufti, Umm E. Rubab, A. M. Alharthi et al. · 0 citations
#edge computing Open access Aug 2026

Chromatic Number of Bipolar Intuitionistic Fuzzy Graphs

Level graphs and strong level graphs are introduced as tools to define and compute the chromatic number of BIFGs, demonstrating that the proposed level-graph method yields exact chromatic numbers for classes of BIFGs.

Fikadu Tesgera Tolasa, V. N. S. R. Repalle, G. A. Ganati et al. · 0 citations

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