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Results for “"Tashin Ahmed"”

8 results

Classification and Understanding of Cloud Structures via Satellite Images with EfficientUNet

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Tashin Ahmed, Noor Hossain Nuri Sabab

Journal: SN Computer ScienceYear: 2021Citations: 56

Climate change has been a common interest and the forefront of crucial political discussion and decision-making for many years. Shallow/Low-altitude clouds play a significant role in understanding the Earth’s climate, but they are challenging to interpret and represent in a climate model. By classif...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Visual Diagnostics of Dental Caries through Deep Learning of Non-Standardised Photographs Using a Hybrid YOLO Ensemble and Transfer Learning Model

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Abu Montakim Tareq, Mohammad Imtiaz Faisal, Md. Shahidul Islam, Nafisa Shamim Rafa et al.

Journal: International Journal of Environmental Research and Public HealthYear: 2023Citations: 40

Background: Access to oral healthcare is not uniform globally, particularly in rural areas with limited resources, which limits the potential of automated diagnostics and advanced tele-dentistry applications. The use of digital caries detection and progression monitoring through photographic communi...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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Evaluating the Effectiveness of Capsule Neural Network in Toxic Comment Classification Using Pre-Trained BERT Embeddings

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Md. Habibur Rahman Sifat, Noor Hossain Nuri Sabab, Tashin Ahmed

Year: 2023Citations: 6

Large language models (LLMs) have attracted considerable interest in the fields of natural language understanding (NLU) and natural language generation (NLG) since their introduction. In contrast, the legacy of Capsule Neural Networks (CapsNet) appears to have been largely forgotten amidst all of th...

Physical SciencesComputer ScienceArtificial Intelligence
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Automatic signboard detection and localization in densely populated developing cities

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Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, Shafin Haque et al.

Journal: Signal Processing Image CommunicationYear: 2022Citations: 6

. Most city establishments of developing cities are digitally un-labeled because of the lack of automatic annotation systems. Hence location and trajectory services such as Google Maps, Uber etc remain un-derutilized in such cities. Accurate signboard detection in natural scene images is the foremos...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Automatic Signboard Detection from Natural Scene Image in Context of Bangladesh Google Street View

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Md. Sadrul Islam Toaha, Chowdhury Rafeed Rahman, Sakib Bin Asad, Tashin Ahmed et al.

Journal: arXiv (Cornell University)Year: 2020Citations: 5

Automatic signboard region detection is the first step of information extraction about establishments from an image, especially when there is a complex background and multiple signboard regions are present in the image. Automatic signboard detection in Bangladesh is a challenging task because of low...

Physical SciencesEngineeringMedia TechnologyOpen Access
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Machine-Learning–Based Forecasting of an Extreme Precipitation event over Bangladesh

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Tahmidul Azom Sany, Torikul Islam Sanjid, Md Tashin Ahammad, Tanvir AHMED

Journal: SUST Journal of Science and Technology (SUST JST)Year: 2026

The increasing frequency of intense precipitation events in Bangladesh is intensifying both climatic and socioeconomic challenges. Recent 2022 flooding in the northeastern region, triggered by extreme precipitation, exemplifies the nation’s heightened vulnerability to climate-induced disasters and t...

Physical SciencesEarth and Planetary SciencesAtmospheric ScienceOpen Access
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Street View Signboard Objects (SVSO)

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Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, S. M. Shahriar Haque et al.

Journal: Zenodo (CERN European Organization for Nuclear Research)Year: 2022

<strong>Street View Signboard Objects (SVSO), a dataset that contains a total of 5000 signboard images of establishments. All images are in PNG file format with bit depth of 32 bits per pixel. The SVSO data includes signboard images of various shapes and colors from Dhaka, Chottogram, Sylhet, Mymens...

Physical SciencesEngineeringOcean EngineeringOpen Access
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Street View Signboard Objects (SVSO)

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Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, S. M. Shahriar Haque et al.

Journal: Zenodo (CERN European Organization for Nuclear Research)Year: 2022

<strong>Street View Signboard Objects (SVSO), a dataset that contains a total of 5000 signboard images of establishments. All images are in PNG file format with bit depth of 32 bits per pixel. The SVSO data includes signboard images of various shapes and colors from Dhaka, Chottogram, Sylhet, Mymens...

Physical SciencesEngineeringOcean EngineeringOpen Access
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