Volume 1, Issue 6

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

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...

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

OMOREGIE Edoghogho , AITOKHUEHI Progress Ehimen , EHIGIATOR Goodness

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...

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

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

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...

An Analysis of Migration Patterns in Assam: Over A Decade

Panchali Das , Dr Samit Chowdhury

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...

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

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...

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

Jagisha

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...