Visualizer for conceptual reasoning
Abstract & Details
Research Area
COMPUTER ENGINEERING
Keywords
Concept Reflex
Information integration
Abstract
The process of interpretation and relevance storming is often regarded as a novice aspect when it comes to defining business logic at different levels for technological projects. This strategy is incorporated into a multi-stage replication system. The system has the capability to identify various types of requirements and creative thinking necessary for the applicable logic within the optical design. It can directly address complex technological variations required for process planning, consolidating all conditional utilities into a single system.
To enhance the comprehensibility of technology-based goals, the system employs optics modeling. This modeling approach integrates various implemented simulations and references for synchronization, resulting in improved analysis of replicas. The system operates with interactivity, enabling the integration of coordinated courses into the modeling designs.
Interpretation and vital details can be replicated in a manner that facilitates the recognition of multiple processing factors on a single-page design. For optical considerations, the employs Multiple identification schemes that Contribute to a better understanding Of subjective information and provide an overview of perception with enhanced flexibility.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Mahesh K V | AMC Engineering College (VTU), Bengaluru, In-dia |
| 2 | Dr. Charles Arockiaraj M | AMC Engineering College (VTU), Bengaluru, In-dia |
How to Cite
Use the following formats to cite this article in your research.
APA Style
V, Mahesh K & M, Dr. Charles Arockiaraj (2023). Visualizer for conceptual reasoning. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 767-770.
MLA Style
V, Mahesh K, and Dr. Charles Arockiaraj M. "Visualizer for conceptual reasoning." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 767-770.
IEEE Style
Mahesh K V and Dr. Charles Arockiaraj M, "Visualizer for conceptual reasoning," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 767-770, 2023.
Vancouver Style
V Mahesh K, M Dr. Charles Arockiaraj. Visualizer for conceptual reasoning. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):767-770.
Harvard Style
V, Mahesh K & M, Dr. Charles Arockiaraj (2023) 'Visualizer for conceptual reasoning', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 767-770.
Chicago Style
V, Mahesh K and Dr. Charles Arockiaraj M. "Visualizer for conceptual reasoning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 767-770.
Turabian Style
V, Mahesh K and Dr. Charles Arockiaraj M. "Visualizer for conceptual reasoning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 767-770.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable