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Results for “"Rafid Hasan"”

16+ results

TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study

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Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan et al.

Journal: IEEE AccessYear: 2022Citations: 163

Identification of brain tumors and accurate grading at an early stage are crucial in cancer diagnosis, as a timely diagnosis can increase the chances of survival. Considering the challenges and risks of tumor biopsies, noninvasive imaging procedures such as Magnetic Resonance Imaging (MRI) are exten...

Life SciencesNeuroscienceNeurologyOpen Access
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Investigation of heat transfer of a building wall in the presence of phase change material (PCM)

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Rafid Khan, Md. Zubayer Hossain Bhuiyan, Dewan Hasan Ahmed

Journal: Energy and Built EnvironmentYear: 2020Citations: 146

The energy consumption in buildings for heating, ventilation, and air-conditioning is increasing with the increasing demand for thermal comfort. Thermal energy storage with phase change material (PCM) has attracted growing attention for its role in achieving energy conservation in buildings with the...

Physical SciencesEngineeringMechanical EngineeringOpen Access
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BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images

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Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Pronab Ghosh et al.

Journal: BiologyYear: 2021Citations: 104

BACKGROUND: Identification and treatment of breast cancer at an early stage can reduce mortality. Currently, mammography is the most widely used effective imaging technique in breast cancer detection. However, an erroneous mammogram based interpretation may result in false diagnosis rate, as disting...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Effect of time-controlled MQL pulsing on surface roughness in hard turning by statistical analysis and artificial neural network

Verified

Mozammel Mia, Mashrat Hasan Razi, Istiaq Ahmad, Rafid Mostafa et al.

Journal: The International Journal of Advanced Manufacturing TechnologyYear: 2017Citations: 95
Physical SciencesEngineeringMechanical Engineering
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A framework for sustainable supplier selection with transportation criteria

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Saikat Anjan Roy, Syed Mithun Ali, Golam Kabir, Rafid Enayet et al.

Journal: International Journal of Sustainable EngineeringYear: 2019Citations: 64

Appropriate suppliers are essential for optimizing cost in contemporary supply chain decisions. Supplier selection is a challenging issue that requires the evaluation of both quantitative and qualitative criteria based on imprecise and limited information. This study proposes a framework to assess s...

Social SciencesBusiness, Management and AccountingStrategy and Management
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Brain Tumor Segmentation from 3D MRI Scans Using U-Net

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Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan et al.

Journal: SN Computer ScienceYear: 2023Citations: 55

Abstract A fully automated system based on three-dimensional (3D) magnetic resonance imaging (MRI) scans for brain tumor segmentation could be a diagnostic aid to clinical specialists, as manual segmentation is challenging, arduous, tedious and error prone. Employing 3D convolutions requires large c...

Life SciencesNeuroscienceNeurologyOpen Access
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Design and Development of a Low-Cost IoT based Environmental Pollution Monitoring System

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Sadman Shahriar Alam, Akib Jayed Islam, Md. Mahmudul Hasan, Mohammad Nokib Monsur Rafid et al.

Year: 2018Citations: 43

Environment pollution is one of the foremost and crucial factors affecting lifestyles and health of human, living organisms, natural or built environment. This paper will provide a low cost environmental pollution monitoring system for monitoring the highly toxic gases like (CO <sub xmlns:mml="http:...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Food Recipe Recommendation Based on Ingredients Detection Using Deep Learning

Verified

Md. Kishor Morol, Md. Shafaat Jamil Rokon, Ishra Binte Hasan, A. M. Saif et al.

Year: 2022Citations: 40

Food is essential for human survival, and people always try to taste different types of delicious recipes. Frequently, people choose food ingredients without even knowing their names or pick up some food ingredients that aren’t obvious to them from a grocery store. Knowing which ingredients can be m...

Physical SciencesEngineeringBiomedical Engineering
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Sentiment Analysis from Bengali Depression Dataset using Machine Learning

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Md. Rafidul Hasan Khan, Umme Sunzida Afroz, Abu Kaisar Mohammad Masum, Sheikh Abujar et al.

Year: 2020Citations: 40

Nowadays, Sentiment Analysis is one of the advanced matters of natural language processing. Sentiment analysis determines a particular pole of a paragraph. Our purpose is to find the sentiment from the Bengali paragraph which is happy or sad using various types of machine learning classification ana...

Physical SciencesComputer ScienceArtificial Intelligence
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MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique

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Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan et al.

Journal: Frontiers in MedicineYear: 2022Citations: 35

Interpretation of medical images with a computer-aided diagnosis (CAD) system is arduous because of the complex structure of cancerous lesions in different imaging modalities, high degree of resemblance between inter-classes, presence of dissimilar characteristics in intra-classes, scarcity of medic...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Clinical manifestations and socio-demographic status of COVID-19 patients during the second-wave of pandemic: A Bangladeshi experience

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Md Roushan Ali, Md. Amit Hasan, Md. Siddikur Rahman, Mu’tasim Billah et al.

Journal: Journal of Infection and Public HealthYear: 2021Citations: 34

BACKGROUND: Bangladesh is a densely populated country with a substandard healthcare system and a mediocre economic framework. Due to the enormous number of people who have been unaware until now, the development of COVID-19's second-wave infection has become a severe threat. The present investigatio...

Health SciencesMedicineInfectious DiseasesOpen Access
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MRI-based brain tumor detection using the fusion of histogram oriented gradients and neural features

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Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, Md. Mahmodul Hasan et al.

Journal: Evolutionary IntelligenceYear: 2021Citations: 33
Life SciencesNeuroscienceNeurology
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An Effective Ensemble Machine Learning Approach to Classify Breast Cancer Based on Feature Selection and Lesion Segmentation Using Preprocessed Mammograms

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A. K. M. Rakibul Haque Rafid, Sami Azam, Sidratul Montaha, Asif Karim et al.

Journal: BiologyYear: 2022Citations: 32

Background: Breast cancer, behind skin cancer, is the second most frequent malignancy among women, initiated by an unregulated cell division in breast tissues. Although early mammogram screening and treatment result in decreased mortality, differentiating cancer cells from surrounding tissues are of...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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An Investigative Approach to Employ Support Vector Classifier as a Potential Detector of Brain Cancer from MRI Dataset

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Mirza Muntasir Nishat, Fahim Faisal, Tasnimul Hasan, Md. Faiyed Bin Karim et al.

Journal: 2021 International Conference on Electronics, Communications and Information Technology (ICECIT)Year: 2021Citations: 32

This paper proposes an investigative analysis to study the applicability of support vector classifier (SVC) algorithm to detect brain cancer efficiently. Brain cancer, mostly triggered by tumor cells in brain can be too lethal if malignancy is not identified at an early stage. Timely and tailored tr...

Life SciencesNeuroscienceNeurology
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Potential of a Microbiologically Induced Calcite Precipitation Process for Durability Enhancement of Masonry Aggregate Concrete

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Tanvir Manzur, Farzana Rahman, Sumaiya Afroz, Rafid Shams Huq et al.

Journal: Journal of Materials in Civil EngineeringYear: 2016Citations: 30

In recent times microbially induced calcite precipitation (MICP) has emerged in the cement and concrete industry as a pioneering approach to enhance concrete properties. This research was carried out with the intention to study the changed characteristics of masonry concrete, casted using brick aggr...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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