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Results for “"Mominul Ahsan"”

16+ results

COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning

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Nur-A-Alam Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider et al.

Journal: SensorsYear: 2021Citations: 181

Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body caused by the novel coronavirus. In December 2019, the coronavirus spread rapidly around the world, thought to be originated from Wuhan in China and is responsible for a large number of deaths. Earlier d...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen 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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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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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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Intelligent System for Vehicles Number Plate Detection and Recognition Using Convolutional Neural Networks

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Nur-A- Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider

Journal: TechnologiesYear: 2021Citations: 113

Vehicles on the road are rising in extensive numbers, particularly in proportion to the industrial revolution and growing economy. The significant use of vehicles has increased the probability of traffic rules violation, causing unexpected accidents, and triggering traffic crimes. In order to overco...

Physical SciencesEngineeringMedia TechnologyOpen 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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Smart Monitoring and Controlling of Appliances Using LoRa Based IoT System

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Nur-A-Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider et al.

Journal: DesignsYear: 2021Citations: 95

In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home, institute, or industry from a long distance with low power consumption remains challenging. At present, some smart phones are being actively used to control appliances at home or institute using Internet of Th...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen 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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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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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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A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images

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

Journal: IEEE AccessYear: 2021Citations: 66

In this era of COVID19, proper diagnosis and treatment for pneumonia are very important. Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia. An experienced radiologist is required for this. However, even for an experienced radiographer, it is quite difficult a...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19

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Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 65

Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia have spread over the world, killing millions of people. Medical specialists have experienced challenges in correctly identifying these diseases due to their subtle differences in Chest X-ray images (CXR). To assist th...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Photonic Crystal Fiber Based Biosensor for Pseudomonas Bacteria Detection: A Simulation Study

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Nishat Jahan, Md. Mobassar Rahman, Mominul Ahsan, Md. Abdul Based et al.

Journal: IEEE AccessYear: 2021Citations: 63

The detection of microorganisms like Pseudomonas are very important as they trigger an infection in human blood, lungs, and different parts of the body causing various ailments. In this paper, a surface plasmon resonance (SPR) biosensor based on photonic crystal fiber (PCF) has been proposed to dete...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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A Critical Review on Charging Technologies of Electric Vehicles

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Mohammad Shahjalal, Tamanna Shams, Moshammed Nishat Tasnim, Md Rishad Ahmed et al.

Journal: EnergiesYear: 2022Citations: 61

The enormous number of automobiles across the world has caused a significant increase in emissions of greenhouse gases, which pose a grave and mounting threat to modern life by escalating global warming and polluting air quality. These adverse effects of climate change have motivated the automotive ...

Physical SciencesEngineeringAutomotive EngineeringOpen Access
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