The emergence of objectionable content in the internet era has become a major worry, especially for groups speaking English. The focus of this work is on using machine learning methods to identify objectionable words in ...

Climate change is an alarming problem in the world, in recent years the extreme heat wave has been quite noticeable. For the last couple of years a temperate country like Bangladesh, is suffering from extreme heat waves. ...

Software defects are a significant concern in the software development industry, leading to increased costs, delays, and compromised quality. To address these challenges, our study focuses on utilizing machine learning ...

In the rapidly evolving digital economy, web-based payment systems are critical to global commerce, necessitating robust frameworks to ensure security, reliability, and compliance. This research proposes a comprehensive ...

In my research project titled "Depression detection from social media activity using machine learning," I investigate the effectiveness of various machine learning algorithms in identifying depressive symptoms from social ...

ChatGPT and Gemini both are one of the exclusive innovations of OpenAI. ChatGPT, the Generative Pre-Trained Transformer tool designed based on Large Language Models (LLMs) and Gemini, previously named as Bard, is a generative ...

In order to understand the effects of air pollution on health, we use advanced predictive modeling to examine the relationship between the Air Quality Index (AQI) and lung cancer mortality across major urban areas in the ...

Skin cancer, a significant global health concern, demands innovative approaches for early detection to improve patient outcomes. This research endeavors to contribute to this imperative by developing an advanced skin cancer ...

During my internship at AAA3D Studios within the MCT (Multimedia and Creative Technology) department, I engaged deeply in the creation of 3D models and AAA game assets, focusing primarily on Autodesk Maya. Over the course ...

This study employs a comparative analysis method to examine variations in food waste (FW) generation between developed and developing nations, focusing on income levels, population growth rates, and community engagement ...