200 citations · 345 across the 13 of their papers we have counts for
13 papers
A Judge Agent Closes the Reliability Gap in AI-Generated Scientific Simulation
Chengshuai Yang
Large language models can generate scientific simulation code, but the generated code silently fails on most non-textbook problems. We show that classical mathematical validation -…
Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
Md. Rokon Mia, Rakib Hossain Sajib, Abdullah Al Noman +2
Early detection of rice leaf diseases is critical, as rice is a staple crop supporting a substantial share of the world's population. Timely identification of these diseases enable…
TITAN: Twin-Informed Topology Adaptation for LAWN-enabled D2C Communication
Talip Tolga Sarı, Rameez Ahmed, Abdullah Al Noman +3
Low-Altitude Wireless Networks (LAWN) are transforming the low-altitude airspace into a mission-driven, dynamically reconfigurable 3D network fabric for safety-critical and public-…
Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali
Md Asgor Hossain Reaj, Rajan Das Gupta, Jui Saha Pritha +4
Large Language Models (LLMs) have achieved significant success in recent years; yet, issues of intrinsic gender bias persist, especially in non-English languages. Although current…
Evaluating Subword Tokenization Techniques for Bengali: A Benchmark Study with BengaliBPE
Firoj Ahmmed Patwary, Abdullah Al Noman
Tokenization is an important first step in Natural Language Processing (NLP) pipelines because it decides how models learn and represent linguistic information. However, current su…
The economic, social & Environmental impact of Electric Vehicle (EV) adaptation on Bangladeshi Society
Abdullah Al Noman, Hasibul Hassan Siam
This study examines the economic social and environmental impacts of electric vehicle adoption in Bangladesh using survey data from 57 respondents and secondary research. Findings…
Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Mahin Montasir Afif, Abdullah Al Noman, K. M. Tahsin Kabir +4
Generative Adversarial Networks (GAN) have shown potential in expanding limited medical imaging datasets. This study explores how different ratios of GAN-generated and real brain t…
A Model-Mediated Stacked Ensemble Approach for Depression Prediction Among Professionals
Md. Mortuza Ahmmed, Abdullah Al Noman, Mahin Montasir Afif +3
Depression is a significant mental health concern, particularly in professional environments where work-related stress, financial pressure, and lifestyle imbalances contribute to d…
Role of AI Innovation, Clean Energy and Digital Economy towards Net Zero Emission in the United States: An ARDL Approach
Adita Sultana, Abdullah Al Abrar Chowdhury, Azizul Hakim Rafi +1
The current paper investigates the influences of AI innovation, GDP growth, renewable energy utilization, the digital economy, and industrialization on CO2 emissions in the USA fro…
Unveiling the Role of Artificial Intelligence and Stock Market Growth in Achieving Carbon Neutrality in the United States: An ARDL Model Analysis
Azizul Hakim Rafi, Abdullah Al Abrar Chowdhury, Adita Sultana +1
Given the fact that climate change has become one of the most pressing problems in many countries in recent years, specialized research on how to mitigate climate change has been a…
Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review
Abdulla All noman, Umma Habiba Akter, Tahmid Hasan Pranto +1
With unorganized, unplanned and improper use of limited raw materials, an abundant amount of waste is being produced, which is harmful to our environment and ecosystem. While tradi…
Insight about Detection, Prediction and Weather Impact of Coronavirus (Covid-19) using Neural Network
A K M Bahalul Haque, Tahmid Hasan Pranto, Abdulla All Noman +1
The world is facing a tough situation due to the catastrophic pandemic caused by novel coronavirus (COVID-19). The number people affected by this virus are increasing exponentially…
Blockchain and smart contract for IoT enabled smart agriculture
Tahmid Hasan Pranto, Abdulla All Noman, Atik Mahmud +1
The agricultural sector is still lagging behind from all other sectors in terms of using the newest technologies. For production, the latest machines are being introduced and adopt…