G. G. Md. Nawaz Ali

Cross-Platform Sentiment Intelligence for Adolescent Health: A Modular Pipeline Approach Inspired by System-of-Systems Principles Using Large Language Models

Amima Shifa, G. G. Md. Nawaz Ali, Dylan E. Henricks

us (code pays fourni par la source)

AI-powered conversational framework for mental health diagnosis

Diwakar Diwakar, Deepa Raj, Arvind Prasad, G. G. Md. Nawaz Ali et autres

In the domain of mental health care, conditions such as anxiety, depression, bipolar disorder, and borderline personality disorder (BPD) affect millions globally, often going undetected due to stigma, limited access to specialists, and the complexity of diagnosis. In this study, a hybrid …

in, sa (code pays fourni par la source)

Bridging Lexical and Contextual Semantics for Adolescents’ Health Sentiment Analysis: A Cross-Platform Study Using Large Language Models

Amima Shifa, G. G. Md. Nawaz Ali, Dylan Henricks

To understand, how adolescents emotionally engage with online health-related content, we require both contextual reasoning and semantic interpretation. This study presents a hybrid semantic framework that bridges classic and modern AI techniques for sentiment analysis of obesity-related discourse on social media platforms …

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LLMs in Fake News Detection: A Comparative Study of Zero-Shot and Fine-Tuned Open-Source Models

Imran Fayyaz, G. G. Md. Nawaz Ali, Samantha S. Khairunnesa

This paper presents a comparative evaluation of large language models (LLMs) for binary fake news classification under two experimental setups: zero-shot inference and parameter-efficient fine-tuning. In the zero-shot configuration, instruction-tuned models are evaluated without taskspecific updates to measure their inherent generalization ability. …

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Truth in the Age of AI: Fine-Tuning LLMs for Reliable Fake News Detection

Sajan Poudel, Nazmus Sadat, G. G. Md. Nawaz Ali

With the rapid rise of social media platforms, people increasingly rely on them not only for entertainment but also as a primary source of news. However, the authenticity of information shared on these platforms is of paramount importance, as misinformation can have …

us (code pays fourni par la source)

Leveraging Large Language Models for Automating Outpatients’ Message Classifications of Electronic Medical Records

Amima Shifa, G. G. Md. Nawaz Ali, Roopa Foulger

Background: The widespread adoption of digital systems in healthcare has produced large volumes of unstructured text data, including outpatient messages sent through electronic medical record (EMR) portals. Efficient classification of these messages is essential for improving workflow automation and enabling timely clinical …

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Advanced Feature Engineering and Machine Learning Techniques for High Accurate Price Prediction of Heterogeneous Pre-Own Cars

Imran Fayyaz, G. G. Md. Nawaz Ali, Samantha Syeda Khairunnesa

The rapid growth of the automobile industry has intensified the demand for accurate price prediction models in the used car market. Buyers often struggle to determine fair market value due to the complexity of factors such as mileage, brand, model, transmission type, …

us (code pays fourni par la source)

Experimental investigation of the sequent depth ratio in hydraulic jumps occurring in a sloped compound rectangular channel with a rough minor bed

Herri Ibtissam, Samir Kateb, G. G. Md. Nawaz Ali, Khechiba Haroun et autres

ABSTRACT Hydraulic jumps are fundamental phenomena in open channel flows, playing a crucial role in energy dissipation, particularly downstream of structures such as block ramps and rock-filled chutes. This study presents an experimental investigation of hydraulic jump characteristics in a sloped compound …

Algérie (code pays fourni par la source)

Advanced Feature Engineering and Machine Learning Techniques for High Accurate Price Prediction of Heterogeneous Pre-Own Cars

Imran Fayyaz, G. G. Md. Nawaz Ali, Samantha Syeda Khairunnesa

The rapid growth of the automobile industry has intensified the demand for accurate price prediction models in the used car market. Buyers often struggle to determine fair market value due to the complexity of factors such as mileage, brand, model, transmission type, …

us (code pays fourni par la source)

Leveraging Large Language Models on Automating Outpatients’ Message Classifications of Electronic Medical Records

Amima Shifa, G. G. Md. Nawaz Ali, Roopa Foulger

Due to the proliferation of digital equipment and testing, hospitals and clinics generate vast amounts of unstructured textual data on a daily basis. These include electronic health records (EHR), clinical and doctor’s notes, provider-patient communications, and administrative messages. Efficient classification of these …

us (code pays fourni par la source)

Public sentiment analysis of roadway work zones using social media data and machine learning models

Md Abu Sayed, Md. Amjad Hossain, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali et autres

The construction and maintenance of roadway infrastructure contribute positively to social and economic development and improve traffic safety. However, roadway work zones (WZs) present safety issues for construction workers and travelers, and adversely affect vehicular movement. By collecting and analyzing Twitter data …

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Explainable AI for lung cancer detection via a custom CNN on CT images

Mohamed Adel Hammad, Mohammed A. ELAffendi, Ahmed A. Abd El‐Latif, Abdelhamied A. Ateya et autres

Lung cancer, which claims 1.8 million lives annually, is still one of the leading causes of cancer-related deaths globally. Patients with lung cancer frequently have a bad prognosis because of late-stage detection, which severely limits treatment options and decreases survival rates. Early …

sa, Égypte, pl (code pays fourni par la source)