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Results for “"Md. Mominul Islam"”

16+ results

Physico-mechanical properties of chemically treated palm and coir fiber reinforced polypropylene composites

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Md. Mominul Haque, Mahbub Hasan, Md. Saiful Islam, Md. Ershad Ali

Journal: Bioresource TechnologyYear: 2009Citations: 379

In this work, palm and coir fiber reinforced polypropylene bio-composites were manufactured using a single extruder and injection molding machine. Raw palm and coir were chemically treated with benzene diazonium salt to increase their compatibility with the polypropylene matrix. Both raw and treated...

Physical SciencesMaterials SciencePolymers and Plastics
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Ligand field effect for Dysprosium(III) and Lutetium(III) adsorption and EXAFS coordination with novel composite nanomaterials

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Md. Rabiul Awual, Nabeel H. Alharthi, Yoshihiro Okamoto, Mohammad Rezaul Karim et al.

Journal: Chemical Engineering JournalYear: 2017Citations: 338
Physical SciencesEnvironmental ScienceIndustrial and Manufacturing Engineering
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Biodegradable natural carbohydrate polymeric sustainable adsorbents for efficient toxic dye removal from wastewater

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Hasan Md. Munjur, Md. Nazmul Hasan, Md. Rabiul Awual, Md. Mominul Islam et al.

Journal: Journal of Molecular LiquidsYear: 2020Citations: 324

The toxic anionic dye of methyl orange encapsulation was studied using biodegradable natural carbohydrate polymeric adsorbents of rice flour (RF) and graham flour (GF). The adsorbents were characterized by several instrumentations to understand the functionality and potential use. The dye adsorption...

Physical SciencesEnvironmental ScienceWater Science and Technology
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Drought Stress in Grain Legumes: Effects, Tolerance Mechanisms and Management

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Marium Khatun, Sumi Sarkar, Farzana Mustafa Era, A. K. M. Mominul Islam et al.

Journal: AgronomyYear: 2021Citations: 259

Grain legumes are important sources of proteins, essential micronutrients and vitamins and for human nutrition. Climate change, including drought, is a severe threat to grain legume production throughout the world. In this review, the morpho-physiological, physio-biochemical and molecular levels of ...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Efficient encapsulation of toxic dyes from wastewater using several biodegradable natural polymers and their composites

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Md Bin Yeamin, Md. Mominul Islam, Al‐Nakib Chowdhury, Md. Rabiul Awual

Journal: Journal of Cleaner ProductionYear: 2021Citations: 222

The removal of organic dyes from wastewater by innovative effluent treatment plant, which can truly clean the wastewater without leaving any fragments of dye species without generating secondary waste, is one of the prime challenges to the present world. The natural polymers were wheat flour, turmer...

Physical SciencesEnvironmental ScienceWater Science and Technology
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Physico-mechanical properties of chemically treated coir reinforced polypropylene composites

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Md. Nazrul Islam, Md. Rezaur Rahman, Md. Mominul Haque, Md. Monimul Huque

Journal: Composites Part A Applied Science and ManufacturingYear: 2009Citations: 188
Physical SciencesMaterials SciencePolymers and Plastics
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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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Millets: The future crops for the tropics - Status, challenges and future prospects

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Sinthia Afsana Kheya, S Talukder, P. Datta, Sabina Yeasmin et al.

Journal: HeliyonYear: 2023Citations: 99

Millets are small-grained nutritious minor cereal crops that are resistant to different abiotic stresses resulting from climate change. Despite their many benefits, millets have received limited attention in agricultural research, policies, and markets. Considering the importance of millets, recentl...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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The PGPR Mechanisms of Salt Stress Adaptation and Plant Growth Promotion

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Rakiba Shultana, Ali Tan Kee Zuan, Umme Aminun Naher, A. K. M. Mominul Islam et al.

Journal: AgronomyYear: 2022Citations: 94

Worldwide crop productivity hampers severely due to the adverse effects of salinity. Global warming causes a rapid escalation of the salt-affected area, and new agricultural land is affected through saltwater intrusion. The ever-growing human population impulses to utilize the saline area for crop c...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Anodic Stripping Voltammetric Detection of Arsenic(III) at Gold Nanoparticle‐Modified Glassy Carbon Electrodes Prepared by Electrodeposition in the Presence of Various Additives

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Md. Motahar Hossain, Md. Mominul Islam, Sara Ferdousi, Takeyoshi Okajima et al.

Journal: ElectroanalysisYear: 2008Citations: 93

Abstract The simple, fast and highly sensitive anodic stripping voltammetric detection of As(III) at a gold (Au) nanoparticle‐modified glassy carbon (GC) (nano‐Au/GC) electrode in HCl solution was extensively studied. The Au nanoparticles were electrodeposited onto GC electrode using chronocoulometr...

Physical SciencesChemistryElectrochemistry
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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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