Home Journals IJTER Archives Vol. 1, Issue 6

International Journal of Technology and Emerging Research

e-ISSN: 3068-109X p-ISSN: 3068-1995 DOI: 10.64823/ijter Volume: 1 — Issue 6 (2025)

Volume 1, Issue 6

October 2025 · 7 articles

Open Access Research Article pp. 1–12

Scaling Effects on AI Fairness: An Empirical Analysis of Stereotypical Bias in State-of-the-Art Transformer-Based Models

Dr. Selvanayaki Kolandapalayam Shanmugam , Aniket G Patel

10.64823/ijter.2506001 01 Oct 2025 950 Views 515 Downloads

As Large Language Models (LLMs) become more integrated into our daily lives, understanding their potential for social bias is a critical area of research. This paper presents a comparative analysis of bias in four small-scale and four large-scale LLMs, including several state-of-the-art models. In t...

Open Access Research Article pp. 13–25

Assessing Judicial Independence and Its Impact on Democratic Consolidation in Nigeria: The Case of The Fourth Republic

OMOREGIE Edoghogho , AITOKHUEHI Progress Ehimen , EHIGIATOR Goodness

10.64823/ijter.2506002 03 Oct 2025 967 Views 885 Downloads

This study investigates the state of judicial independence in Nigeria during the Fourth Republic and its impact on the consolidation of democracy. The research addresses persistent challenges which includes Persistent encroachment by the executive branch which undermines judicial autonomy, particula...

Open Access Research Article pp. 26–43

Optimized Xception Deep Learning Model for Automated Skin Disease Classification in Scalable Healthcare Systems

Geeta Rani , Sahul Goyal , Lalit Kumar Awasthi , Love Kumar

10.64823/ijter.2506003 08 Oct 2025 932 Views 498 Downloads

Healthcare advances hinge on early and accurate disease detection, yet access to expert diagnostics remains uneven worldwide skin conditions, from benign rashes to malignant melanomas, affect millions and often go unrecognized until they progress to severe stages. Skin diseases manifest in diverse f...

Open Access Research Article pp. 44–51

An Analysis of Migration Patterns in Assam: Over A Decade

Panchali Das , Dr Samit Chowdhury

10.64823/ijter.2506004 09 Oct 2025 1,149 Views 712 Downloads

Human migration is the process of a person or group of people moving from one geographic location to another and changing their habitual place of residence permanently or semi-permanently. With its rich natural resources and fertile terrain, Assam continues to draw a sizable number of migrants from...

Open Access Research Article pp. 52–57

State-of-the-Art Survey on Intelligent Energy-Aware Routing Algorithms in Wireless Sensor Networks

Prof. Bhavini Parmar , Prof. Sohilkumar Dabhi , Prof. Keyur Patel , Prof. Vasim Vohra , Kinjalben B. Dabhi

10.64823/ijter.2506005 10 Oct 2025 937 Views 440 Downloads

Wireless Sensor Networks (WSNs) are vital for applications such as environmental monitoring and industrial automation, yet their limited energy resources and dynamic environments challenge network longevity and data reliability. Artificial Intelligence (AI) offers effective solutions through adaptiv...

Open Access Research Article pp. 58–63

A Comprehensive Survey on Deep Learning-based Techniques for Tomato Leaves Disease Detection and Classification

Jagisha

10.64823/ijter.2506006 11 Oct 2025 857 Views 487 Downloads

Tomato is one of the most cultivated and consumed vegetable crops globally, but its yield is significantly threatened by a variety of diseases, primarily manifesting on the leaves. Early and accurate detection of these diseases is crucial for effective pest management and preventing substantial econ...

Open Access Research Article pp. 67–73

AI-Augmented Testing solution of LLM-Integrated Mobile Applications: Architecture, Test Oracle Strategies, and Empirical Evaluation

Urvish Gajjar

Health Care Service Corporation, Chicago
10.64823/ijter.2506008 19 Oct 2025 37 Views 82 Downloads

The integration of large language models (LLMs) into mobile applications introduces adaptive tutoring, conversational question answering, and automated feedback generation, but it also breaks the deterministic input-output assumptions on which conventional mobile test automation relies. This paper p...

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