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Results for “"Abdullah-Al- Faisal"”

16+ 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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Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh

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Abdulla ‐ Al Kafy, Md. Shahinoor Rahman, Abdullah-Al- Faisal, Mohammad Mahmudul Hasan et al.

Journal: Remote Sensing Applications Society and EnvironmentYear: 2020Citations: 249

Urbanization causes enormous land use and land cover (LULC) changes, which creates a significant impacts on land surface temperature (LST) in rapidly growing mega-cities. The substantial increment of the LST creates urban heat island (UHI) effects in cities. This study first identified the pattern o...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Prediction of seasonal urban thermal field variance index using machine learning algorithms in Cumilla, Bangladesh

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Abdulla ‐ Al Kafy, Abdullah-Al- Faisal, Md. Shahinoor Rahman, Muhaiminul Islam et al.

Journal: Sustainable Cities and SocietyYear: 2020Citations: 235

The intensity and formation of urban heat island (UHI) phenomena are closely related to land use/land cover (LULC) and land surface temperature (LST) change. The effect of UHI can be described quantitatively by urban thermal field variance index (UTFVI). For measuring urban health and ensuring susta...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Classification of crops and weeds from digital images: A support vector machine approach

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Faisal Ahmed, Hawlader Abdullah Al-Mamun, Amna Bari, Emam Hossain et al.

Journal: Crop ProtectionYear: 2012Citations: 230

In most agricultural systems, one of the major concerns is to reduce the growth of weeds. In most cases, removal of the weed population in agricultural fields involves the application of chemical herbicides, which has had successes in increasing both crop productivity and quality. However, concerns ...

Life SciencesAgricultural and Biological SciencesPlant Science
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Assessing the impacts of vegetation cover loss on surface temperature, urban heat island and carbon emission in Penang city, Malaysia

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Zullyadini A. Rahaman, Abdulla ‐ Al Kafy, Milan Saha, Asyirah Abdul Rahim et al.

Journal: Building and EnvironmentYear: 2022Citations: 191
Physical SciencesEnvironmental ScienceEnvironmental Engineering
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An analytical review on the evaluation of wind resource and wind turbine for urban application: Prospect and challenges

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Zinat Tasneem, Abdullah Al Noman, Sajal K. Das, Dip Kumar Saha et al.

Journal: Developments in the Built EnvironmentYear: 2020Citations: 183

Wind energy is a promising scheme in the power generation sector due to pollution-free power production and wind resources’ sufficiency worldwide. Installing wind turbines in all the possible extents can mitigate the rising energy demand. Built-up areas possess high potential for wind energy, includ...

Physical SciencesEngineeringAerospace EngineeringOpen Access
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Contamination and ecological risk assessment of trace elements in sediments of the rivers of Sundarban mangrove forest, Bangladesh

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Mohammad Amirul Islam, Abdullah Al‐Mamun, Faisal Hossain, Shamshad B. Quraishi et al.

Journal: Marine Pollution BulletinYear: 2017Citations: 163

In this study, total concentrations of 16 trace elements (Al, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Cd, Sb, Hg, Pb, Th and U) in sediments of the rivers of the Sundarban mangrove forest, after the catastrophic oil spill accident in the Sela river of Sundarban, were determined. The overall mean concentr...

Physical SciencesEnvironmental SciencePollution
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Assessing and predicting land use/land cover, land surface temperature and urban thermal field variance index using Landsat imagery for Dhaka Metropolitan area

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Abdullah-Al- Faisal, Abdulla ‐ Al Kafy, Abdullah Al Rakib, Kaniz Shaleha Akter et al.

Journal: Environmental ChallengesYear: 2021Citations: 160

Climate change is occurring because of an increase in greenhouse gases such as carbon dioxide, methane, and others, which act as a partial blanket for the planet and store solar energy radiation, resulting an increase in land surface temperature (LST). Cities that are already suffering from the urba...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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Cellular Automata approach in dynamic modelling of land cover changes using RapidEye images in Dhaka, Bangladesh

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Abdulla ‐ Al Kafy, Md. Nazmul Huda Naim, G. Subramanyam, Abdullah-Al- Faisal et al.

Journal: Environmental ChallengesYear: 2021Citations: 159

Satellite images have been used extensively to identify the land use/land cover (LULC) changes in Bangladesh. However, no study has been conducted to classify LULC changes in the Dhaka Metropolitan Development Plan (DMDP) area using high-resolution commercial satellite images. The study aimed to sim...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Predicting the impacts of land use/land cover changes on seasonal urban thermal characteristics using machine learning algorithms

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Abdulla ‐ Al Kafy, Milan Saha, Abdullah-Al- Faisal, Zullyadini A. Rahaman et al.

Journal: Building and EnvironmentYear: 2022Citations: 153
Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Remote sensing approach to simulate the land use/land cover and seasonal land surface temperature change using machine learning algorithms in a fastest-growing megacity of Bangladesh

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Abdulla ‐ Al Kafy, Abdullah-Al- Faisal, Ragib Mahmood Shuvo, Md. Nazmul Huda Naim et al.

Journal: Remote Sensing Applications Society and EnvironmentYear: 2020Citations: 142

Rapid urbanization across many regions in the world is altering the existing land use/land cover (LULC), which is significantly raising the land surface temperature (LST). The present study aims to estimate future LULC and seasonal (summer and winter) LST scenarios in one of the fastest-growing mega...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Impact of vegetation cover loss on surface temperature and carbon emission in a fastest-growing city, Cumilla, Bangladesh

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Abdulla ‐ Al Kafy, Abdullah-Al- Faisal, Abdullah Al Rakib, Md. Abdul Fattah et al.

Journal: Building and EnvironmentYear: 2021Citations: 130
Physical SciencesEnvironmental ScienceEnvironmental Engineering
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A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE-ENN Oversampling Technique and Hyperparameter Optimization for Imbalanced Heart Failure Dataset

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Mirza Muntasir Nishat, Fahim Faisal, Ishrak Jahan Ratul, Abdullah Al-Monsur et al.

Journal: Scientific ProgrammingYear: 2022Citations: 129

Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the body due to impaired contractile properties of the muscles of the heart. Like any other cardiac disorder, heart failure is a serious ailment limiting the activities and curtailing the lifespan of the patient...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait

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Ahmad Al-Dousari, Abdulla ‐ Al Kafy, Milan Saha, Md. Abdul Fattah et al.

Journal: Sustainable Cities and SocietyYear: 2022Citations: 103
Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms

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Abdulla ‐ Al Kafy, Arpita Bakshi, Milan Saha, Abdullah-Al- Faisal et al.

Journal: The Science of The Total EnvironmentYear: 2023Citations: 101

The consequences of droughts are far-reaching, impacting the natural environment, water quality, public health, and accelerating economic losses. Applications of remote sensing techniques using satellite imageries can play an influential role in identifying drought severity (DS) and impacts for a br...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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