<P> Provide information on conference articles here </P> tags http://dspace.aiub.edu:8080/jspui/handle/123456789/105 2026-03-31T20:26:39Z 2026-03-31T20:26:39Z Ahmmed, Md. Mortuza Babu, Ashraful Rahman, M. Mostafizur Mahmud, Mufti Ahammad, Mejbah http://dspace.aiub.edu:8080/jspui/handle/123456789/2856 2025-07-17T05:53:39Z 2025-06-24T00:00:00Z

Title: LungCANet: A Novel Deep Co-attention Convolutional Neural Network Architecture for High-Precision Lung Cancer Morphological Analysis and Classification Authors: Ahmmed, Md. Mortuza; Babu, Ashraful; Rahman, M. Mostafizur; Mahmud, Mufti; Ahammad, Mejbah Abstract: In the realm of lung cancer diagnostics, traditional imaging and classification methodologies exhibit notable limitations, primarily due to their inability to effectively process and analyze the intricate morphological variations of lung cancer from medical imaging data. In order to address this issue, this study introduces LungCANet, an innovative deep learning framework tailored for the precise diagnosis and classification of lung cancer. Utilizing cutting-edge mechanisms such as Squeeze-and-Excitation (SE) blocks and residual connections, LungCANet significantly enhances the diagnostic accuracy by effectively discerning critical features within complex lung imaging data. Through a comprehensive experimental analysis, this research validates LungCANet superior performances against conventional diagnostic methods, demonstrating its potential to transform early cancer detection and treatment strategies. The efficacy of LungCANet was rigorously evaluated against comprehensive datasets, showing an average accuracy of 97.33% on the training set and significant performance gains on validation datasets with accuracy of 98.61%. These results underscore LungCANet potential to significantly advance the early detection and classification of lung cancer, setting a new benchmark for diagnostic performance with its state-of-the-art architecture.

2025-06-24T00:00:00Z Ahmmed, Md. Mortuza Puri, Shalini Kabir, K M Tahsin Rassel, Mian Mohammad Choudhary, Vishal http://dspace.aiub.edu:8080/jspui/handle/123456789/2855 2025-07-17T05:53:19Z 2025-06-25T00:00:00Z

Title: Quantitative Insights into Renewable Energy: A Statistical Perspective on Solar, Wind, and Hydro Energy in Bangladesh Authors: Ahmmed, Md. Mortuza; Puri, Shalini; Kabir, K M Tahsin; Rassel, Mian Mohammad; Choudhary, Vishal Abstract: Bangladesh is at a turning point in its quest for a more robust and cleaner energy future as the demand for sustainable energy solutions throughout the world grows. To offer thorough insights into the status and potential of renewable energy sources in the context of Bangladesh, this study explores the quantitative elements of these sources, concentrating on solar, wind, and hydro energy. This study examines important metrics including energy output, efficiency, and adoption trends using strong statistical approaches. This study uses a multifaceted method to evaluate the impact and viability of solar, wind, and hydro energy in Bangladesh by combining historical data, present market dynamics, and future estimates. This paper’s objective is to ascertain trends, associations, and variables impacting the expansion of any renewable energy industry through the application of statistical models. The possibilities and difficulties of integrating these technologies into the current energy infrastructure are also covered in the paper. This study also looks at the financial effects of adopting renewable energy, considering things like employment growth, investment trends, and overall economic sustainability. It aims to assist investors, industry stakeholders, and policymakers in making well-informed decisions to hasten Bangladesh’s transition to a more resilient and sustainable energy environment by providing a comparative analysis of these three main renewable energy sources. To sum up, this quantitative study offers insightful information about Bangladesh’s solar, wind, and hydro energy landscape and prospects. It attempts to inform strategic efforts and policy frameworks that will propel the country toward a cleaner, more efficient, and sustainable energy future by fusing statistical analysis with a comprehensive grasp of the energy landscape.

2025-06-25T00:00:00Z Ahmmed, Md. Mortuza Puri, Shalini Kabir, K M Tahsin Rassel, Mian Mohammad Choudhary, Vishal http://dspace.aiub.edu:8080/jspui/handle/123456789/2854 2025-07-17T05:52:59Z 2025-06-25T00:00:00Z

Title: Mapping Bangladesh’s Healthcare Outside Government Influence: A Statistical Approach Authors: Ahmmed, Md. Mortuza; Puri, Shalini; Kabir, K M Tahsin; Rassel, Mian Mohammad; Choudhary, Vishal Abstract: Access to high-quality healthcare is a fundamental human right that is denied to a substantial section of the people in Bangladesh. The lack of a suitable and sufficient healthcare system has significant implications for the nation’s many socioeconomic groups. This study carefully examines several facets of non-governmental healthcare establishments in Bangladesh, including ownership configurations, their development paths over time, workforce distribution, waste management strategies, and fire safety protocols. This study also explores a few of these institutions’ financial aspects. A thorough dataset was gathered from the 2019 Bangladesh Bureau of Statistics survey of private healthcare facilities to meet the study’s analytical goals. The results show that the private healthcare industry grew significantly between 1990 and 2018, with private ownership predominating among the institutions. Full-time employees make up a substantial share of the workforce distribution. Remarkably, around 80% of private hospitals follow protocols for fire safety and waste management. The study’s analytical findings provide policymakers with crucial information to create informed evaluations of many aspects of non-governmental healthcare organizations in Bangladesh. These insights can be used as a basis for carrying out wise judgments that deal with the highlighted aspects and advance the nation’s healthcare system.

2025-06-25T00:00:00Z Ahmmed, Md. Mortuza Neteish, Aonyendo Paul Biswas, Barno http://dspace.aiub.edu:8080/jspui/handle/123456789/2853 2025-07-17T05:52:39Z 2025-06-06T00:00:00Z

Title: Hearing the Unheard: Statistical Examination of Public Attitudes, Awareness, and Acceptance of Sign Language Recognition in Dhaka Authors: Ahmmed, Md. Mortuza; Neteish, Aonyendo Paul; Biswas, Barno Abstract: Effective communication is essential in modern society, regardless of language preferences, and is key to creating understanding and connection. The development of Sign Language Recognition (SLR) technology offers considerable potential for establishing inclusive relationships between deaf and hearing individuals. This research intends to explore contemporary public opinions toward SLR, focusing on its societal impact and the necessity of understanding. We investigate public perceptions through an online poll and employ statistical tools like correlation and regression. Our findings reveal that respondents had a great awareness and grasp of SLR, appreciating its importance and potential. These findings are valuable for policymakers, technology developers, and educators, providing them with critical information to build inclusive policies. By offering concrete proof of public opinion, this research helps bridge the gap between technological innovation, education, and societal requirements. We advise that the government take aggressive actions to harness these insights and encourage the greater adoption of SLR among society. Overall, this study utilizes sophisticated statistical techniques to support development toward a more inclusive future, trying to break down communication barriers and ensuring everyone, regardless of how they communicate, has equal opportunity to engage in society.

2025-06-06T00:00:00Z