output
19962025
most citedSynthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for Teaching and Learning STEM Topics

102 citations

47 papers

cs.GR2025

Generating Digital Models Using Text-to-3D and Image-to-3D Prompts: Critical Case Study

Rushan Ziatdinov, Rifkat Nabiyev

In the world of technology and AI, digital models play an important role in our lives and are an essential part of the digital twins of real-world objects. They can be created by d…

math.DG2025★ 2 cited

Developable Ruled Surfaces Generated by the Curvature Axis of a Curve

Ferhat Taş, Rushan Ziatdinov

Ruled surfaces play an important role in various types of design, architecture, manufacturing, art, and sculpture. They can be created in a variety of ways, which is a topic that h…

q-bio.NC2025★ 4 cited

Visual Perception, Quantity of Information Function and the Concept of the Quantity of Information Continuous Splines

Rushan Ziatdinov

The geometric shapes of the outside world objects hide an undisclosed emotional, psychological, artistic, aesthetic and shape-generating potential; they may attract or cause fear a…

cs.CY2022★ 102 cited

Synthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for Teaching and Learning STEM Topics

Rushan Ziatdinov, James R. Valles

GeoGebra is an interactive geometry, algebra, statistics, and calculus application designed for teaching and learn-ing math, science, and engineering. Its dynamic interface allows…

eess.IV2020★ 86 cited

Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19

Aoxiao Zhong, Xiang Li, Dufan Wu +17

In recent years, deep learning-based image analysis methods have been widely applied in computer-aided detection, diagnosis and prognosis, and has shown its value during the public…

eess.IV2020★ 1 cited

Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection

Shah B. Shrey, Lukman Hakim, Muthusubash Kavitha +2

Lung cancer is one of the most deadly diseases in the world. Detecting such tumors at an early stage can be a tedious task. Existing deep learning architecture for lung nodule iden…