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Results for “"Abrar Faisal"”

16+ results

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

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Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain, Mohammad Faisal Uddin et al.

Journal: Ecological InformaticsYear: 2023Citations: 131
Life Sciences
Agricultural and Biological Sciences
Plant Science
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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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Deep Learning-Based Glaucoma Detection With Cropped Optic Cup and Disc and Blood Vessel Segmentation

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Mir Tanvir Islam, Shafin T. Mashfu, Abrar Faisal, Sadman Chowdhury Siam et al.

Journal: IEEE AccessYear: 2021Citations: 118

Glaucoma is an irreversible neurodegenerative disease, where intraocular hypertension is developed due to the increased aqueous humor and blockage of the drainage system between the iris and cornea. As a result, the optic nerve head, which sends visual stimulus from our eyes to the brain, is damaged...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Neural networks based multivariate time series forecasting of solar radiation using meteorological data of different cities of Bangladesh

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Abrar Faisal, Afikur Rahman, Mohammad Tanvir Mahmud Habib, Abdul Hasib Siddique et al.

Journal: Results in EngineeringYear: 2022Citations: 107

Solar radiation is the energy or radiation we get from the sun, time-varying data. Solar radiation plays a vital role in various sectors. With better prediction, performances in these sectors can be enhanced. In this work, we proposed a system to forecast solar radiation using Neural Networks. Meteo...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals

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Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, M. Sohel Rahman et al.

Journal: Biomedical Signal Processing and ControlYear: 2022Citations: 54
Physical SciencesEngineeringBiomedical 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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Covid-EnsembleNet: An Ensemble Based Approach for Detecting Covid-19 by utilising Chest X-ray Images

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Abdullah Al-Monsur, Md Rizwanul Kabir, Abrar Mohammad Ar-Rafi, Mirza Muntasir Nishat et al.

Journal: 2022 IEEE World AI IoT Congress (AIIoT)Year: 2022Citations: 24

Covid-19 is still running rampant around the globe. With the recent emergence of rapidly spreading variants, the necessity for testing becomes ever more acute. In this study, firstly, a deep learning based framework is proposed to conduct both a binary and multi-class classification of chest X-ray i...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Exploring the Performances of Stacking Classifier in Predicting Patients Having Stroke

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Tasnimul Hasan, Mirza Muntasir Nishat, Fahim Faisal, Abrar Islam et al.

Journal: 2021 8th NAFOSTED Conference on Information and Computer Science (NICS)Year: 2021Citations: 24

Stroke refers to a spectrum of clinical manifestations with underlying neurological dysfunctions of the brain. It is a medical condition which is often misdiagnosed and commonly misclassified, leading to a delay in the initiation of disease-specific treatment in patients. Rapid and precise detection...

Health SciencesMedicineEpidemiology
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Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-Square Test and Hyperparameter Optimization: A Retrospective Analysis

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Ishrak Jahan Ratul, Ummay Habiba Wani, Mirza Muntasir Nishat, Abdullah Al-Monsur et al.

Journal: Computational and Mathematical Methods in MedicineYear: 2022Citations: 23

Bone marrow transplant (BMT) is an effective surgical treatment for bone marrow-related disorders. However, several associated risk factors can impair long-term survival after BMT. Machine learning (ML) technologies have been proven useful in survival prediction of BMT receivers along with the influ...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Pollution characteristics and human health risk assessments of toxic metals and particle pollutants via soil and air using geoinformation in urbanized city of Pakistan

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Khalid Mehmood, Yansong Bao, Roman Abbas, Saif Ullah et al.

Journal: Environmental Science and Pollution ResearchYear: 2021Citations: 22

Toxic metals and particle pollutants in urbanized cities have significantly increased over the past few decades mainly due to rapid urbanization and unplanned infrastructure. This research aimed at estimating the concentration of toxic metals and particle pollutants and the associated risks to publi...

Physical SciencesEnvironmental SciencePollution
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An Efficient Analysis of EEG Signals to Perform Emotion Analysis

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Ahnaf Akif Rahman, Md Rizwanul Kabir, Rashed Hasan Ratul, Fatin Abrar Shamns et al.

Year: 2023Citations: 19

The analysis of human emotional features is a significant hurdle to surmount on the path to understanding the human mind. Human emotions are convoluted thus making its analysis even more daunting. In this paper, a meticulous and thorough analysis of EEG Brainwave Dataset: Feeling Emotions is perform...

Life SciencesNeuroscienceCognitive Neuroscience
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Unveiling a Novel Square Resonator Labyrinth Shaped Metamaterial Absorber for Ku and K Band Applications

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Mohammad Abrar Nasif, Miskatur Rahman, Abdullah Al Hossain Newaz, Mohammad Faisal Ahmed et al.

Year: 2024Citations: 18

Metamaterials have attracted significant interest because of their intriguing properties and the promising applications they offer in developing important technologies. In this article, a square resonator labyrinth-shaped meta material absorber is proposed for Ku and K band applications. The suggest...

Physical SciencesEngineeringAerospace Engineering
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Hybrid Feature Extraction Approach for Robust Brain Tumor Classification: HOG, GLCM, and Artificial Neural Network

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Nowshad Hasan, Mohammad Faisal Ahmed, Mohammad Abrar Nasif, Md. Rafiul Haq et al.

Year: 2024Citations: 18

The classification of brain tumors is an essential undertaking that helps physicians make precise decisions and treat patients appropriately based on their classes. To make the right decision, it is therefore necessary to improve the classification accuracy. The aim of this study is to develop a hyb...

Life SciencesNeuroscienceNeurology
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Electrocatalytic oxygen reduction reaction at FeS2-CNT/GCE surface in alkaline medium

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Md. Nurnobi Islam, Abrar Yasir Abir, Jahir Ahmed, M. Faisal et al.

Journal: Journal of Electroanalytical ChemistryYear: 2023Citations: 17

The oxygen reduction reaction (ORR) has attracted more attention in recent time due to its wide applications in electrochemical energy transformation such as fuel cells, metal-air batteries , electrolyzers, and wastewater treatment . However, the development of inexpensive and highly efficient ORR e...

Physical SciencesEnergyRenewable Energy, Sustainability and the EnvironmentOpen Access
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Procuring MFCCs from Crema-D Dataset for Sentiment Analysis using Deep Learning Models with Hyperparameter Tuning

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Md Rizwanul Kabir, Muhammad Mutiul Muhaimin, Md. Abrar Mahir, Mirza Muntasir Nishat et al.

Year: 2021Citations: 13

Sentiment analysis is indispensable for scrutinizing the convoluted characteristics of the human mind. In this paper, an attempt is made to perform a comprehensive analysis of sentiment in the CREMA-D audio dataset by relying on extracting MFCC features from the dataset. Standardization of the datas...

Physical SciencesComputer ScienceSignal Processing
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