Abhishek Appaji

LLM GPT-3.5 study for sentiment analysis across Utkarsh server, Ohio supercomputer, Google Colab and PC

2024 · Results in Engineering

• Study of sentiment analysis models on Twitter corpus by utilizing the Large Language Model (LLM), gpt-3-5-turbo-16k version of the Generative Pretrained Transformer (GPT 3.5) model. • Various computational tasks performed using Bidirectional long short-term …

Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI

2025 · Informatics in Medicine Unlocked

Cervical cancer is a preventable yet life-threatening disease that claims hundreds of thousands of lives each year, particularly in low-resource settings where timely screening is scarce. Current Deep Learning (DL) approaches for automated cervical cytology …

Multi-scale patch embedding and distribution-aware transformer learning for explainable histopathology analysis

2026 · Results in Control and Optimization

This study introduces Histo-AdaptiveViT, a model designed for patch-level multi-class histopathology classification, focusing on generating local evidence for pathology workflows rather than serving as a standalone diagnostic tool. It employs a three-stage CNN to create …