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Results for “"Fahim Faisal"”

16+ results

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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A Comprehensive Analysis on Detecting Chronic Kidney Disease by Employing Machine Learning Algorithms

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Mirza Muntasir Nishat, Fahim Faisal, Rezuanur Rahman Dip, Sarker Md. Nasrullah et al.

Journal: EAI Endorsed Transactions on Pervasive Health and TechnologyYear: 2021Citations: 106

INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive deterioration of kidney functions. However, the impairment is irreversible and imperceptible up until the disease reaches one of the later stages, demanding early detection and initiation of treatment in order to ensure a good prog...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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An IoT based Environment Monitoring System

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Mosfiqun Nahid Hassan, A. B. M. Alim Al Islam, Fahim Faisal, Farida Habib Semantha et al.

Year: 2020Citations: 71

In recent years, people are getting more conscious of the environment they are living in. This consciousness is driving the need to develop a reliable environmental monitoring system. An environmental air quality monitoring system also has industrial application. In mining or in heavy industry, ther...

Physical SciencesEngineeringElectrical and Electronic Engineering
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Computer Aided Diagnosis of Thyroid Disease Using Machine Learning Algorithms

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Md. Asfi-Ar-Raihan Asif, Mirza Muntasir Nishat, Fahim Faisal, Md. Fahim Shikder et al.

Year: 2020Citations: 62

This paper presents a comprehensive study of investigating the performance of different machine learning algorithms in the diagnosis of thyroid disease. Detecting thyroid disease at an early stage is a task of utmost significance because fatal thyroid diseases like thyroid cancer can be fully cured ...

Health SciencesHealth ProfessionsHealth Information Management
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CNN-based Deep Learning Approach for Micro-crack Detection of Solar Panels

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Md. Raqibur Rahman, Sanzana Tabassum, Ehtashamul Haque, Mirza Muntasir Nishat et al.

Year: 2021Citations: 59

With the growing popularity and decreasing cost of solar power, crystalline solar panels have been widely adopted in residential and commercial applications. Increased production and prolonged usage of photovoltaic (PV) modules necessitate automatic detection of defects in utility-scale solar power ...

Physical SciencesEnergyRenewable Energy, Sustainability and the Environment
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CFL-Net: Image Forgery Localization Using Contrastive Learning

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Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo

Journal: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)Year: 2023Citations: 55

Conventional forgery localizing methods usually rely on different forgery footprints such as JPEG artifacts, edge inconsistency, camera noise, etc., with cross-entropy loss to locate manipulated regions. However, these methods have the disadvantage of over-fitting and focusing on only a few specific...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Chimp optimization algorithm in multilevel image thresholding and image clustering

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Zubayer Kabir Eisham, Md. Monzurul Haque, Md. Samiur Rahman, Mirza Muntasir Nishat et al.

Journal: Evolving SystemsYear: 2022Citations: 54

Multilevel image thresholding and image clustering, two extensively used image processing techniques, have sparked renewed interest in recent years due to their wide range of applications. The approach of yielding multiple threshold values for each color channel to generate clustered and segmented i...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Detection of Parkinson's Disease by Employing Boosting Algorithms

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Mirza Muntasir Nishat, Tasnimul Hasan, Sarker Md. Nasrullah, Fahim Faisal et al.

Year: 2021Citations: 53

Parkinson's Disease is caused by a decline in the production of dopamine due to the degeneration of brain cells. Dopamine is responsible for the communication between parts of the brain associated with the control and fluency of body movements. Hence, the disease manifests with a spectrum of movemen...

Health SciencesMedicineNeurology
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Development of Genetic Algorithm (GA) Based Optimized PID Controller for Stability Analysis of DC-DC Buck Converter

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Mirza Muntasir Nishat, Fahim Faisal, Anik Jawad Evan, Md. Moshiour Rahaman et al.

Journal: Journal of Power and Energy EngineeringYear: 2020Citations: 50

This paper delineates a conventional buck converter controlled by optimized PID controller where Genetic Algorithm (GA) is employed with a view to enhancing the performance by analyzing the performance parameters. Genetic Algorithm is a probabilistic search algorithm which is substantially used as a...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Early risk prediction of cervical cancer: A machine learning approach

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Ishrak Jahan Ratul, Abdullah Al-Monsur, Bushra Tabassum, Abrar Mohammad Ar-Rafi et al.

Journal: 2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)Year: 2022Citations: 47

Cervical cancer is a vital public health issue that affects women worldwide. As it is a fatal disease, early risk prediction of cervical cancer can play an important role in prevention by raising public awareness of this disease. Early prediction using a Machine Learning (ML) model can be a benefici...

Health SciencesMedicineEpidemiology
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Detection of Mental State from EEG Signal Data: An Investigation with Machine Learning Classifiers

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Ahnaf Akif Rahman, Muntequa Imtiaz Siraji, Lamim Ibtisam Khalid, Fahim Faisal et al.

Year: 2022Citations: 47

The mental state of a person is a combination of very complex neural activities which determine the current state of mind. It depends on a lot of external factors as well as internal factors of the brain itself. It is possible to determine an individual's mental state by analyzing their EEG patterns...

Life SciencesNeuroscienceCognitive Neuroscience
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An Overview of Blockchain Applications and Attacks

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Rahul Rao Vokerla, Bharanidharan Shanmugam, Sami Azam, Asif Karim et al.

Journal: 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN)Year: 2019Citations: 46

In recent decades, Information Technology has contributed fundamentally to the development of financial markets, reforming the way in which financial institutions interact with each other. However, the established practices and norms of this sector may face an all-out overhaul as remarkable innovati...

Physical SciencesComputer ScienceInformation Systems
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Performance Investigation of Different Boosting Algorithms in Predicting Chronic Kidney Disease

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Mirza Muntasir Nishat, Fahim Faisal, Rezuanur Rahman Dip, Md. Fahim Shikder et al.

Year: 2020Citations: 42

This paper implies an investigative approach to study the performance of different boosting algorithms in predicting chronic kidney disease (CKD) more accurately. In recent years, CKD has reached a global prevalence with much severity which can lead to end-stage renal disease (ESRD) if not detected ...

Health SciencesHealth ProfessionsHealth Information Management
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Detection of Autism Spectrum Disorder by Discriminant Analysis Algorithm

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Mirza Muntasir Nishat, Fahim Faisal, Tasnimul Hasan, Sarker Md. Nasrullah et al.

Journal: Lecture notes on data engineering and communications technologiesYear: 2021Citations: 40
Life SciencesNeuroscienceCognitive Neuroscience
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Detection of Epileptic Seizure from EEG Signal Data by Employing Machine Learning Algorithms with Hyperparameter Optimization

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Ahnaf Akif Rahman, Fahim Faisal, Mirza Muntasir Nishat, Muntequa Imtiaz Siraji et al.

Year: 2021Citations: 39

Epileptic seizure refers to a brief occurrence of signs in the brain caused by abnormally high or synchronized neuronal activity. With the utilization of EEG signal, the epileptic seizure can be identified. However, incorporating machine learning classifiers with this EEG data can significantly cont...

Life SciencesNeuroscienceCognitive Neuroscience
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