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Results for “"Md. Nahiduzzaman"”

16+ results

The impact of COVID-19 on globalization

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Nistha Shrestha, Muhammad Yousaf Shad, Osman Ulvi, Modasser Hossain Khan et al.

Journal: One HealthYear: 2020Citations: 292

Globalization has altered the way we live and earn a livelihood. Consequently, trade and travel have been recognized as significant determinants of the spread of disease. Additionally, the rise in urbanization and the closer integration of the world economy have facilitated global interconnectedness...

Social SciencesEconomics, Econometrics and FinanceEconomics and EconometricsOpen Access
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Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

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Md. Robiul Islam, Lway Faisal Abdulrazak, Md. Nahiduzzaman, Md. Omaer Faruq Goni et al.

Journal: Computers in Biology and MedicineYear: 2022Citations: 155

Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic patients. Early detection of the DR can save many patients from permanent blindness. Various artificial intelligent based systems have been proposed and they outperform human analysis in accurate detection of the DR. ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Seaweed farming for food and nutritional security, climate change mitigation and adaptation, and women empowerment: A review

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Fahmida Sultana, Md. Abdul Wahab, Md. Nahiduzzaman, Md Mohiuddin et al.

Journal: Aquaculture and FisheriesYear: 2022Citations: 146

Seaweed is a promising marine macroalgae of the millennium, providing various ecological, social, and economic benefits. At present, seaweed production reached 35.8 million t from farming, accounting for 97% of global seaweed output, with a world market of US$ 11.8 billion. Seaweeds are an excellent...

Physical SciencesEarth and Planetary SciencesOceanographyOpen Access
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A review on brain tumor segmentation based on deep learning methods with federated learning techniques

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Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, Md. Rabiul Islam et al.

Journal: Computerized Medical Imaging and GraphicsYear: 2023Citations: 128

Brain tumors have become a severe medical complication in recent years due to their high fatality rate. Radiologists segment the tumor manually, which is time-consuming, error-prone, and expensive. In recent years, automated segmentation based on deep learning has demonstrated promising results in s...

Life SciencesNeuroscienceNeurologyOpen Access
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Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

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Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 128

Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar that, if left untreated, can result in even blindness. A novel automated technique for DR detection has been proposed in this paper. To accentuate the lesions, the fundus images (FIs) were preprocessed using ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach

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Md. Robiul Islam, Md. Nahiduzzaman

Journal: Expert Systems with ApplicationsYear: 2022Citations: 124

Recently the most infectious disease is the novel Coronavirus disease (COVID 19) creates a devastating effect on public health in more than 200 countries in the world. Since the detection of COVID19 using reverse transcription-polymerase chain reaction (RT-PCR) is time-consuming and error-prone, the...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI

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Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan et al.

Journal: SensorsYear: 2022Citations: 124

Diabetes is a chronic disease that continues to be a primary and worldwide health concern since the health of the entire population has been affected by it. Over the years, many academics have attempted to develop a reliable diabetes prediction model using machine learning (ML) algorithms. However, ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM

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Md. Jawadul Karim, Md. Omaer Faruq Goni, Md. Nahiduzzaman, Mominul Ahsan et al.

Journal: Scientific ReportsYear: 2024Citations: 95

Crop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enables early and precise detection of crop diseases, hence empowe...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine

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Md. Omaer Faruq Goni, Md. Nahiduzzaman, Md. Shamim Anower, Md. Mahabubur Rahman et al.

Journal: e-Prime - Advances in Electrical Engineering Electronics and EnergyYear: 2023Citations: 79

To provide stability and a continuous supply of power, the detection and classification of faults in the transmission lines (TLs) are crucial in this modern age. It is required to remove a faulty section from a healthy section to provide safety and to minimize power loss due to the fault. In the con...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI

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Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine et al.

Journal: Expert Systems with ApplicationsYear: 2024Citations: 77

The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent need for precise diagnosis, as these diseases greatly affect human life and contribute to high mortality rates. Fast identification, accurate classification, and efficient treatment approaches are essentia...

Health SciencesMedicineGastroenterologyOpen Access
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Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture

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Hasibul Islam Peyal, Md. Nahiduzzaman, M. A. H. Pramanik, Md. Khalid Syfullah et al.

Journal: IEEE AccessYear: 2023Citations: 77

Tomatoes are the most widely grown crop in the world, and they may be found in a variety of forms in every kitchen, regardless of cuisine. It is, after potato and sweet potato, the most widely farmed crop on the planet. Cotton is another essential cash crop because most farmers grow it in huge quant...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm

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Md. Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam, Md. Omaer Faruq Goni et al.

Journal: IEEE AccessYear: 2021Citations: 77

This paper exploits the extreme learning machine (ELM) approach to address diabetic retinopathy (DR), a medical condition in which impairment occurs to the retina caused by diabetes. DR, a leading cause of blindness worldwide, is a sort of swelling leakage due to excessive blood sugar in the retina ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Impact of COVID-19 on Financial Performance and Profitability of Banking Sector in Special Reference to Private Commercial Banks: Empirical Evidence from Bangladesh

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Md. Abu Issa Gazi, Md. Nahiduzzaman, Iman Harymawan, Abdullah Al Masud et al.

Journal: SustainabilityYear: 2022Citations: 74

The current crisis caused by the COVID-19 pandemic has hit the global economy hard, causing significant damage to every aspect of the global banking system, and Bangladesh is no exception. For that reason, its performance and profitability have been affected. In this study, we investigate the impact...

Social SciencesEconomics, Econometrics and FinanceEconomics and EconometricsOpen Access
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Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion

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Md. Nahiduzzaman, Moumitu Tasnim, Nishat Tasnim Newaz, M. Shamim Kaiser et al.

Journal: Lecture notes in computer scienceYear: 2020Citations: 71
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images

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Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed et al.

Journal: SensorsYear: 2022Citations: 67

Malaria is a life-threatening disease caused by female anopheles mosquito bites. Various plasmodium parasites spread in the victim’s blood cells and keep their life in a critical situation. If not treated at the early stage, malaria can cause even death. Microscopy is a familiar process for diagnosi...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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