Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
DR186
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
This study examines the adoption patterns of artificial intelligence (AI) among higher education students in urban Odisha, India, emphasising both general and academic applications. Data were collected from 100 students at four major urban universities in Odisha through an online quantitative survey using Google Forms and analysed the data collected using descriptive statistics and the non-parametric Mann-Whitney U test to evaluate the impact of demographic factors on AI engagement. The results indicate that the utilisation of AI for both general activities (including information retrieval, translation, and entertainment) and academic endeavours (such as research, writing, and exam preparation) is prevalent and predominantly unaffected by demographic factors such as gender, age, academic standing, family structure, and field of study. This demographic neutrality underscores AI’s widespread allure, indicating that its incorporation into higher education has the capacity to surpass conventional social and institutional barriers. Percentage trends indicate subtle variations in user behaviours; however, these variations lack statistical significance, underscoring the necessity for user-centric methodologies that transcend general demographic classifications. The study emphasises the significance of utilising AI to democratise education and guide inclusive policy and curriculum development, especially in under-represented areas such as Odisha. These insights contribute to the discourse on AI in education by demonstrating its potential to promote equitable access and tailored learning environments, while also indicating avenues for sophisticated qualitative research on individual motivations and longitudinal trends in AI adoption.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
