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Results for “"Md. Sagar Hossen"”

16+ results

Comprehensive Performance Assessment of Deep Learning Models in Early Prediction and Risk Identification of Chronic Kidney Disease

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Shamima Akter, Ahsan Habib, Md. Ashiqul Islam, Md. Sagar Hossen et al.

Journal: IEEE AccessYear: 2021Citations: 107

The incidence of chronic kidney disease (CKD) is rising rapidly around the globe. Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various factors is underutilized. Computer-aided automated diagnostic (CAD) can play a major role to predict CKD. CAD systems such as deep ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Risk Factor Prediction of Chronic Kidney Disease based on Machine Learning Algorithms

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Md. Ashiqul Islam, Shamima Akter, Md. Sagar Hossen, Sadia Ahmed Keya et al.

Year: 2020Citations: 70

Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity of renal capacities and subsequently damages the kidneys. CKD is very common nowadays; cardiovascular infection and end-stage renal illness are two life threatening diseases that can be caused as after-effects...

Health SciencesHealth ProfessionsHealth Information Management
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Machine Learning based Image Classification of Papaya Disease Recognition

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Md. Ashiqul Islam, Md Shahriar Islam, Md. Sagar Hossen, Minhaz Uddin Emon et al.

Journal: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)Year: 2020Citations: 64

To help farmers and rural people of Bangladesh, many research works are proposed in the recent years to recognize the papaya diseases that takes a great deal of advantage in machine learning fields. This research is mainly required to support agriculture to make it highly effective and helpful parti...

Life SciencesAgricultural and Biological SciencesPlant Science
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Deep Learning based Classification of Papaya Disease Recognition

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Md. Sagar Hossen, Imdadul Haque, Md. Saif Islam, Md. Tanvir Ahmed et al.

Year: 2020Citations: 36

Every year many of farmers had to face a huge amount of loss due to the papaya disease. From the last several years, thousands of researchers pay attention to the papaya disease recognition system to reduce the losses of farmers. Farmers have no prior knowledge about the detection technique to mitig...

Life SciencesAgricultural and Biological SciencesPlant Science
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Hotel review analysis for the prediction of business using deep learning approach

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Md. Sagar Hossen, Anik Hassan Jony, Tasfia Tabassum, Md Tanvir Islam et al.

Year: 2021Citations: 33

Sentiment analysis is a widely used topic in Natural Language Processing that allows identifying the opinions or sentiments from a given text. Social media is the scope for the customers to share their opinion over the products or services as part of customer reviews. Dissect this review has become ...

Physical SciencesComputer ScienceArtificial Intelligence
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Satkara (<i>Citrus macroptera</i>) Fruit Protects against Acetaminophen‐Induced Hepatorenal Toxicity in Rats

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Sudip Paul, Md. Aminul Islam, E. M. Tanvir, Romana Ahmed et al.

Journal: Evidence-based Complementary and Alternative MedicineYear: 2016Citations: 33

Although Citrus macroptera (Rutaceae), an indigenous fruit in Bangladesh, has long been used in folk medicine, however, there is a lack of information concerning its protective effects against oxidative damage. The protective effects of an ethanol extract of Citrus macroptera (EECM) against acetamin...

Life SciencesPharmacology, Toxicology and PharmaceuticsPharmacologyOpen Access
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Minerals, Toxic Heavy Metals, and Antioxidant Properties of Honeys from Bangladesh

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Sudip Paul, Md. Sakib Hossen, E. M. Tanvir, Rizwana Afroz et al.

Journal: Journal of ChemistryYear: 2017Citations: 26

The study reports on major and trace elements as well as antioxidant properties of honey samples from Bangladesh. Four major cationic elements, seven trace elements, and three heavy metals were determined in the 12 honey samples using atomic absorption spectrophotometer. Nutritional values in these ...

Life SciencesAgricultural and Biological SciencesInsect ScienceOpen Access
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Protective effects of ethanolic peel and pulp extracts of Citrus macroptera fruit against isoproterenol-induced myocardial infarction in rats

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Sudip Paul, Sagarika Das, E. M. Tanvir, Md. Sakib Hossen et al.

Journal: Biomedicine & PharmacotherapyYear: 2017Citations: 26

Increases in the incidence of cardiovascular disease (CVD) have aroused strong interest in identifying antioxidants from natural sources for use in preventive medicine. Citrus macroptera (C. macroptera), commonly known as "Satkara", is an important herbal and medicinal plant reputed for its antioxid...

Health SciencesMedicineEndocrinology, Diabetes and MetabolismOpen Access
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Digital Signature Authentication Using Asymmetric Key Cryptography with Different Byte Number

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Md. Sagar Hossen, Tasfia Tabassum, Md. Ashiqul Islam, Rafat Karim et al.

Journal: Lecture notes on data engineering and communications technologiesYear: 2020Citations: 22
Physical SciencesComputer ScienceArtificial Intelligence
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Digital Signature Authentication for a Bank Using Asymmetric Key Cryptography Algorithm and Token Based Encryption

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Rafat Karim, Laila Sultana Rumi, Md. Ashiqul Islam, Aysha Akter Kobita et al.

Journal: Lecture notes on data engineering and communications technologiesYear: 2020Citations: 20
Physical SciencesComputer ScienceArtificial Intelligence
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Data Hiding Scheme using Difference Expansion and Modulus Function

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Md. Sagar Hossen, Tohari Ahmad, Ntivuguruzwa Jean De La Croix

Year: 2023Citations: 18

Our information is constantly under threat when transmitted through public networks. So, research to keep information secret has been carried out. Mainly, steganography, which consists of hiding data in digital media, receives much attention. Existing steganographic systems identified the need to im...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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A New Approach to Hiding Data in the Images Using Steganography Techniques Based on AES and RC5 Algorithm Cryptosystem

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Md. Sagar Hossen, Md. Ashiqul Islam, Tania Khatun, Shahed Hossain et al.

Journal: 2020 International Conference on Smart Electronics and Communication (ICOSEC)Year: 2020Citations: 17

In the new era of modern science and technology is developing day by day, data confidentiality is risky, all over the world and it increases rapidly. In this paper, a new approach to hiding the data using steganography techniques is proposed based on AES and RC5 algorithm cryptosystem. Steganography...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Performance Analysis of Breast Cancer: A Machine Learning Approach

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Tania Khatun, Md. Mahfuzur Rahman Utsho, Md. Ashiqul Islam, Mst. Fatematuz Zohura et al.

Journal: 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)Year: 2021Citations: 15

Nowadays, breast cancer is the most emerging diseaseamong women both in developed as well as developing countries. Due to increased life prospects, increased urbanization, and therelinquishment of western societies, the rareness of breast cancer is supersizing in the developing world. Even it became...

Physical SciencesComputer ScienceArtificial Intelligence
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GDP Growth Prediction of Bangladesh using Machine Learning Algorithm

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Amman Hossain, Md. Sagar Hossen, Md. Mahmudul Hasan, Abdus Sattar

Journal: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)Year: 2021Citations: 14

The main objective is to predict GDP Growth by help of other parameters like GDP Per Capita, Inflation Rate, Government Debt, Total Investment, Remittance, Unemployed Rate. The complex relations are obtained by machine learning algorithm among GDP Growth Rate and other parameters to predict GDP Grow...

Social SciencesDecision SciencesManagement Science and Operations Research
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Examining The Risk Factors of Liver Disease: A Machine Learning Approach

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Md. Sagar Hossen, Imdadul Haque, Puza Rani Sarkar, Md. Ashiqul Islam et al.

Journal: 2022 7th International Conference on Communication and Electronics Systems (ICCES)Year: 2022Citations: 11

Nowadays, Liver Disease (LD) is a very common clinical problem for human health and is related to morbidity and mortality. Nevertheless, an earlier prognosis of LD patients gets a scope to avoid, prior diagnosis and subsequent treatment. This research work attempts to implement a high qualified perf...

Health SciencesMedicineEpidemiology
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