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Results for “"Md. Saifur Rahman"”

16+ results

Recent Developments of Carboxymethyl Cellulose

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Md. Saifur Rahman, Md. Saif Hasan, Ashis Sutradhar Nitai, Sunghyun Nam et al.

Journal: PolymersYear: 2021Citations: 795

Carboxymethyl cellulose (CMC) is one of the most promising cellulose derivatives. Due to its characteristic surface properties, mechanical strength, tunable hydrophilicity, viscous properties, availability and abundance of raw materials, low-cost synthesis process, and likewise many contrasting aspe...

Physical SciencesMaterials ScienceBiomaterialsOpen Access
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Preparation of food grade carboxymethyl cellulose from corn husk agrowaste

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Md. Ibrahim H. Mondal, Mst. Sarmina Yeasmin, Md. Saifur Rahman

Journal: International Journal of Biological MacromoleculesYear: 2015Citations: 262

Alpha-cellulose extracted from corn husks was used as the raw material for the production of food-grade carboxymethyl cellulose (CMC). Preparation of CMC from husk cellulose was carried out by an etherification process, using sodium hydroxide and monochloroacetic acid (MCA), with ethanol as the supp...

Physical SciencesMaterials ScienceBiomaterials
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A Comprehensive Review on Fake News Detection With Deep Learning

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M. F. Mridha, Ashfia Jannat Keya, Md. Abdul Hamid, Muhammad Mostafa Monowar et al.

Journal: IEEE AccessYear: 2021Citations: 252

A protuberant issue of the present time is that, organizations from different domains are struggling to obtain effective solutions for detecting online-based fake news. It is quite thought-provoking to distinguish fake information on the internet as it is often written to deceive users. Compared wit...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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Microplastic particles in the aquatic environment: A systematic review

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Mohammad Boshir Ahmed, Md. Saifur Rahman, Jahangir Alom, Md. Saif Hasan et al.

Journal: The Science of The Total EnvironmentYear: 2021Citations: 251

Microplastics (MPs) pollution has become one of the most severe environmental concerns today. MPs persist in the environment and cause adverse effects in organisms. This review aims to present a state-of-the-art overview of MPs in the aquatic environment. Personal care products, synthetic clothing, ...

Physical SciencesEnvironmental SciencePollution
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A Random Forest based predictor for medical data classification using feature ranking

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Md. Zahangir Alam, Md. Saifur Rahman, M. Sohel Rahman

Journal: Informatics in Medicine UnlockedYear: 2019Citations: 242

Medical data classification is considered to be a challenging task in the field of medical informatics. Although many works have been reported in the literature, there is still scope for improvement. In this paper, a feature ranking based approach is developed and implemented for medical data classi...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Design and numerical analysis of highly sensitive Au-MoS2-graphene based hybrid surface plasmon resonance biosensor

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M. Saifur Rahman, Md. Shamim Anower, Md. Rabiul Hasan, Md. Biplob Hossain et al.

Journal: Optics CommunicationsYear: 2017Citations: 230
Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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A new approach for LSB based image steganography using secret key

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S. M. Masud Karim, Md. Saifur Rahman, Md. Ismail Hossain

Year: 2011Citations: 198

This paper introduces a best approach for Least Significant Bit (LSB) based on image steganography that enhances the existing LSB substitution techniques to improve the security level of hidden information. It is a new approach to substitute LSB of RGB true color image. The new security conception h...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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A Federated Learning-Based Approach for Improving Intrusion Detection in Industrial Internet of Things Networks

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Md Mamunur Rashid, Shahriar Usman Khan, Fariha Eusufzai, Md. Azharuddin Redwan et al.

Journal: NetworkYear: 2023Citations: 190

The Internet of Things (IoT) is a network of electrical devices that are connected to the Internet wirelessly. This group of devices generates a large amount of data with information about users, which makes the whole system sensitive and prone to malicious attacks eventually. The rapidly growing Io...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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A study on road accident prediction and contributing factors using explainable machine learning models: analysis and performance

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Shakil Ahmed, Md Akbar Hossain, Sayan Kumar Ray, Md. Mafijul Islam Bhuiyan et al.

Journal: Transportation Research Interdisciplinary PerspectivesYear: 2023Citations: 170

Road accidents are increasing worldwide and are causing millions of deaths each year. They impose significant financial and economic expenses on society. Existing research has mostly studied road accident prediction as a classification problem, which aims to predict whether a traffic accident may ha...

Physical SciencesEngineeringSafety, Risk, Reliability and QualityOpen Access
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The Potentiality of Rice Husk-Derived Activated Carbon: From Synthesis to Application

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Md Masruck Alam, Md Ashraf Hossain, Md Delowar Hossain, Md Abu Hasan Johir et al.

Journal: ProcessesYear: 2020Citations: 170

Activated carbon (AC) has been extensively utilized as an adsorbent over the past few decades. AC has widespread applications, including the removal of different contaminants from water and wastewater, and it is also being used in capacitors, battery electrodes, catalytic supports, and gas storage m...

Physical SciencesMaterials ScienceElectronic, Optical and Magnetic MaterialsOpen Access
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Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from water

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Mohammad Boshir Ahmed, Md Masruck Alam, John L. Zhou, Bentuo Xu et al.

Journal: Process Safety and Environmental ProtectionYear: 2020Citations: 166

The increasing occurrence of chemically resistant per- and poly-fluoroalkyl substances (PFASs) in the natural environment, animal tissues and even the human body poses a significant health risk. Temporal trend studies on water, sediments, bird, fish, marine mammal and the human show that the exposure...

Physical SciencesEnvironmental ScienceEnvironmental Chemistry
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A novel graphene coated surface plasmon resonance biosensor with tungsten disulfide (WS2) for sensing DNA hybridization

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M. Saifur Rahman, Md. Rabiul Hasan, Khaleda Akter Rikta, Md. Shamim Anower

Journal: Optical MaterialsYear: 2017Citations: 146
Physical SciencesEngineeringBiomedical Engineering
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Sensitivity enhancement of SPR biosensors employing heterostructure of PtSe2 and 2D materials

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Md. Mahabubur Rahman, Md Masud Rana, Md Saifur Rahman, Md. Shamim Anower et al.

Journal: Optical MaterialsYear: 2020Citations: 140

In this paper, two exclusive surface plasmon resonance (SPR) biosensors are proposed numerically utilizing the newly emerged transition metal dichalcogenides (e.g. PtSe2) composed with 2D materials (e.g. Graphene, MoS2 and WS2) onto the traditional SPR biosensors. The performance of the sensors is i...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Modeling of a highly sensitive MoS2-Graphene hybrid based fiber optic SPR biosensor for sensing DNA hybridization

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M. Saifur Rahman, Md. Shamim Anower, Md. Khalilur Rahman, Md. Rabiul Hasan et al.

Journal: OptikYear: 2017Citations: 105
Physical SciencesEngineeringBiomedical Engineering
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Analysis of the drivers of Agriculture 4.0 implementation in the emerging economies: Implications towards sustainability and food security

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Md. Fahim Bin Alam, Saifur Rahman Tushar, Sadid Md. Zaman, Ernesto D.R. Santibañez González et al.

Journal: Green Technologies and SustainabilityYear: 2023Citations: 103

Global food insecurity has become a significant concern, especially for emerging economies. The crisis has been exacerbated recently due to the intense supply chain disruption resulting from the COVID-19 pandemic and the ongoing Russia–Ukraine war. Agriculture 4.0, which combines conventional agricu...

Social SciencesEconomics, Econometrics and FinanceEconomics and EconometricsOpen Access
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