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Results for “"Fairuz Shadmani Shishir"”

9 results

Brain Tumor Detection Using Convolutional Neural Network

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Tonmoy Hossain, Fairuz Shadmani Shishir, Mohsena Ashraf, MD Abdullah Al Nasim et al.

Journal: 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)Year: 2019Citations: 312

Brain Tumor segmentation is one of the most crucial and arduous tasks in the terrain of medical image processing as a human-assisted manual classification can result in inaccurate prediction and diagnosis. Moreover, it is an aggravating task when there is a large amount of data present to be assiste...

Life SciencesNeuroscienceNeurology
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De Novo Drug Property Prediction using Graph Convolutional Neural Networks

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Fairuz Shadmani Shishir, Khan Md. Hasib, Shadman Sakib, Shithi Maitra et al.

Year: 2021Citations: 10

Drug property prediction poses a complex task in the healthcare domain, because the drug-like molecules greatly vary in chemical structures. Inhibitory concentration (IC <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">50</inf> ) prediction is essential ...

Physical SciencesComputer ScienceComputational Theory and Mathematics
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A Novel Approach to Classify Bangla Sign Digits using Capsule Network

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Tonmoy Hossain, Fairuz Shadmani Shishir, Faisal Muhammad Shah

Year: 2019Citations: 10

Communication between hearing impaired and general people is one of the most immense problem nowadays. The main medium of conversation with deaf people is through sign language. But it is an arduous task to learn and communicate with the sign language for any class of people. Over the years, researc...

Physical SciencesComputer ScienceHuman-Computer Interaction
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Graph Theory for Dimensionality Reduction: A Case Study to Prognosticate Parkinson's

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Shithi Maitra, Tonmoy Hossain, Khan Md. Hasib, Fairuz Shadmani Shishir

Year: 2020Citations: 8

In the present world, the commotion centering Big Data is somewhat obscuring the craft of mining information from smaller samples. Populations with limited examples but huge dimensionality are a common phenomenon, otherwise known as the curse of dimensionality-especially in the health sector-thanks ...

Life SciencesAgricultural and Biological SciencesFood Science
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EsharaGAN: An Approach to Generate Disentangle Representation of Sign Language using InfoGAN

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Fairuz Shadmani Shishir, Tonmoy Hossain, Faisal Muhammad Shah

Journal: 2020 IEEE Region 10 Symposium (TENSYMP)Year: 2020Citations: 8

EsharaGAN is a Bangla Sign Digit generation model based on Information Maximizing Generative Adversarial Networks (InfoGAN). Augmenting the mutual information between latent variables and observational variables is the fundamental working principle of InfoGAN. This paper focused on generating disent...

Physical SciencesComputer ScienceHuman-Computer Interaction
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Artistic Natural Images Generation Using Neural Style Transfer

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Atiqul Islam Chowdhury, Fairuz Shadmani Shishir, Ashraful Islam, Eshtiak Ahmed et al.

Journal: Advances in intelligent systems and computingYear: 2021Citations: 3
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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A Machine Learning and NLP Pipeline for Analyzing ESG and Sustainability Disclosures in the Textile and Apparel Industry

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Md. Rafiqul Islam Rana, Agraj Magotra, Fairuz Shadmani Shishir, Sumaiya Shomaji

Journal: Scholar Commons (University of South Carolina)Year: 2026

The global textile and apparel (T&A) industry faces critical pressure over its environmental impact, producing approximately 92 million tons of waste annually and contributing to nearly 20% of global water pollution. For Bangladesh, one of the leading apparel exporters, the integration of transparen...

Social SciencesBusiness, Management and AccountingMarketingOpen Access
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A machine learning and NLP pipeline for analyzing ESG and sustainability disclosures in the textile and apparel industry

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Agraj Magotra, Md. Rafiqul Islam Rana, Fairuz Shadmani Shishir, Sumaiya Shomaji

Journal: Scientific ReportsYear: 2026

The global textile and apparel (T&A) industry faces critical pressure over its environmental impact, producing approximately 92 million tons of waste annually and contributing to nearly 20% of global water pollution. For Bangladesh, one of the leading apparel exporters, the integration of transparen...

Social SciencesBusiness, Management and AccountingMarketingOpen Access
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Data-Driven Insights into Sustainability: An Artificial Intelligence (AI) Powered Analysis of ESG Practices in the Textile and Apparel Industry

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Agraj Magotra, Md. Rafiqul Islam Rana, Fairuz Shadmani Shishir, Sumaiya Shomaji

Year: 2025

In this study, we explore the adoption of Environmental, Social, and Governance (ESG) practices in the Bangladeshi textile and apparel (T&amp;A) industry which is a global leader in green certifications yet challenged by limited transparency. Leveraging Artificial Intelligence (AI) and Machine Learn...

Social SciencesBusiness, Management and AccountingStrategy and ManagementOpen Access
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