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Results for “"Md. Rashedul Islam"”

31+ results

A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis

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

Journal: CancersYear: 2021Citations: 91

Breast cancer is now the most frequently diagnosed cancer in women, and its percentage is gradually increasing. Optimistically, there is a good chance of recovery from breast cancer if identified and treated at an early stage. Therefore, several researchers have established deep-learning-based autom...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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An efficient filtering based approach improving LSB image steganography using status bit along with AES cryptography

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Md. Rashedul Islam, Ayasha Siddiqa, Md Palash Uddin, Ashis Kumar Mandal et al.

Year: 2014Citations: 91

In Steganography, the total message will be invisible into a cover media such as text, audio, video, and image in which attackers don't have any idea about the original message that the media contain and which algorithm use to embed or extract it. In this paper, the proposed technique has focused on...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection

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Md. Rashedul Islam, Aklima Akter Lima, Sujoy Chandra Das, M. F. Mridha et al.

Journal: IEEE AccessYear: 2022Citations: 74

Feature selection is employed to reduce feature dimensions and computational complexity by eliminating irrelevant and redundant features. A vast amount of increasing data and its processing generate many feature sets, that are reduced by the feature selection process to improve the performance in al...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Hand Gesture Feature Extraction Using Deep Convolutional Neural Network for Recognizing American Sign Language

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Md. Rashedul Islam, Ummey Kulsum Mitu, Rasel Ahmed Bhuiyan, Jungpil Shin

Year: 2018Citations: 67

In this era, Human-Computer Interaction (HCI) is a fascinating field about the interaction between humans and computers. Interacting with computers, human Hand Gesture Recognition (HGR) is the most significant way and the major part of HCI. Extracting features and detecting hand gesture from inputte...

Physical SciencesComputer ScienceHuman-Computer Interaction
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Reducing childhood malnutrition in Bangladesh: the importance of addressing socio-economic inequalities

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Md. Rashedul Islam, Md. Shafiur Rahman, Md. Mahfuzur Rahman, Shuhei Nomura et al.

Journal: Public Health NutritionYear: 2019Citations: 66

OBJECTIVE: To obtain projections of the prevalence of childhood malnutrition indicators up to 2030 and to analyse the changes of wealth-based inequality in malnutrition indicators and the degree of contribution of socio-economic determinants to the inequities in malnutrition indicators in Bangladesh...

Health SciencesNursingNutrition and DieteticsOpen Access
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Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment

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Gazi Mahabubul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe et al.

Journal: Scientific ReportsYear: 2025Citations: 63

The transportation industry contributes significantly to climate change through carbon dioxide ( $$\hbox {CO}_{2}$$ ) emissions, intensifying global warming and leading to more frequent and severe weather phenomena such as flooding, drought, heat waves, glacier melting, and rising sea levels. This s...

Physical SciencesEngineeringAutomotive EngineeringOpen Access
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Antimicrobial and cytotoxic constituents from the seeds of Annona squamosa

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M. Mukhlesur Rahman, Shahnaj Parvin, Mohammad Rashedul Haque, Md. Ekramul Islam et al.

Journal: FitoterapiaYear: 2005Citations: 58

Annotemoyin-1, Annotemoyin-2, squamocin and cholesteryl glucopyranoside were isolated from the seeds of Annona squamosa. These compounds and plant extracts showed remarkable antimicrobial and cytotoxic activities.

Life SciencesBiochemistry, Genetics and Molecular BiologyBiochemistry
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Fabrication of low cost and scalable carbon-based conductive ink for E-textile applications

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Md. Rashedul Islam, Nipa Khair, Dewan Murshed Ahmed, Hasan Shahariar

Journal: Materials Today CommunicationsYear: 2018Citations: 57

In this work, we demonstrate a simple, highly scalable and cost-effective fabrication process of functional carbon black (CB) ink from burned charcoal of dry woods. Our process consists of both dry and wet medium blending of burned charcoals which reduces the consumption of high processing time and ...

Physical SciencesEngineeringBiomedical Engineering
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Correlation Analysis of Flag Leaf with Yield in Several Rice Cultivars

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Md Asadur Rahman, Mohammad Rashedul Haque, Biswanath Sikdar, Md. Asadul Islam et al.

Journal: Journal of Life and Earth ScienceYear: 2014Citations: 54

The uppermost leaf below the panicle is the flag leaf that provides the most important source of photosynthetic energy during reproduction and grain filling, thereby has great impact in panicle development and grain yield in rice. In the present investigation in order to explore the relationship bet...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Square enclosed circle split ring resonator enabled epsilon negative (ENG) near zero index (NZI) metamaterial for gain enhancement of multiband satellite and radar antenna applications

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Md. Rashedul Islam, Mohammad Tariqul Islam, Md. Moniruzzaman, Md Samsuzzaman et al.

Journal: Results in PhysicsYear: 2020Citations: 53

In this article, a square enclosed circle split ring resonator (SEC-SRR) based metamaterial is described that shows negative permittivity (ENG) with near-zero-index (NZI) of refraction. The unit cell of this metamaterial is formed with two SRR rings, one with square in shape and another circular sha...

Physical SciencesEngineeringAerospace EngineeringOpen Access
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Microplastics in the commercially available branded milk in Bangladesh: An emerging threat for human health

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Tapos Kumar Chakraborty, Md Jahid Hasan, Baytune Nahar Netema, Md Abu Rayhan et al.

Journal: Journal of Hazardous MaterialsYear: 2024Citations: 52

Microplastics (MPs) are polymer-based particles commonly found in diverse foods that pose serious human health impacts throughout the food chain. Assessment of MPs in different food products is a prime measure to combat MP-related food contamination. Therefore, this study first investigated the iden...

Physical SciencesEnvironmental SciencePollution
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Evaluation of Population-Level Tobacco Control Interventions and Health Outcomes

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Shamima Akter, Md. Rashedul Islam, Md Mizanur Rahman, Thomas Rouyard et al.

Journal: JAMA Network OpenYear: 2023Citations: 51

Importance: Smoking causes considerable noncommunicable diseases, perinatal morbidity, and mortality. Objective: To investigate the associations of population-level tobacco-control policies with health outcomes. Data Sources: PubMed, EMBASE, Web of Science, Cumulated Index to Nursing and Allied Heal...

Health SciencesMedicinePhysiologyOpen Access
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A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data

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Rasel Ahmed Bhuiyan, Nadeem Ahmed, Md Amiruzzaman, Md. Rashedul Islam

Journal: SensorsYear: 2020Citations: 48

Human Activity Recognition (HAR) using embedded sensors in smartphones and smartwatch has gained popularity in extensive applications in health care monitoring of elderly people, security purpose, robotics, monitoring employees in the industry, and others. However, human behavior analysis using the ...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Qualitative and quantitative analysis of goat ovaries, follicles and oocytes in view of in vitro production of embryos

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Md. Rashedul Islam, MAMY Khandoker, S. Afroz, Md.G M Rahman et al.

Journal: Journal of Zhejiang University SCIENCE BYear: 2007Citations: 48

Goat ovaries were collected from the slaughterhouse and categorized as right, left, corpus luteum (CL)-present and -absent group and evaluated on the basis of weight (g), length (cm), width (cm), number of follicles, follicles aspirated and number and state of cumulus-oocyte-complexes (COCs). Compar...

Life SciencesAgricultural and Biological SciencesAgronomy and Crop ScienceOpen Access
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A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets

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Md Abrar Jahin, Md Sakib Hossain Shovon, M. F. Mridha, Md. Rashedul Islam et al.

Journal: Scientific ReportsYear: 2024Citations: 47

Sentiment analysis is a pivotal tool in understanding public opinion, consumer behavior, and social trends, underpinning applications ranging from market research to political analysis. However, existing sentiment analysis models frequently encounter challenges related to linguistic diversity, model...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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