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Results for “"Rakibul Islam Rafi"”

16+ results

TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study

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Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan et al.

Journal: IEEE AccessYear: 2022Citations: 163

Identification of brain tumors and accurate grading at an early stage are crucial in cancer diagnosis, as a timely diagnosis can increase the chances of survival. Considering the challenges and risks of tumor biopsies, noninvasive imaging procedures such as Magnetic Resonance Imaging (MRI) are exten...

Life SciencesNeuroscienceNeurologyOpen Access
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Preparation, characterization, and adsorption kinetics of graphene oxide/chitosan/carboxymethyl cellulose composites for the removal of environmentally relevant toxic metals

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Md. Hafezur Rahaman, Md. Rakibul Islam, Rafiquel Islam, S. Alam et al.

Journal: International Journal of Biological MacromoleculesYear: 2023Citations: 52

This study attempted to develop a low-cost and eco-friendly bio-based composite adsorbent that is highly efficient in capturing potential toxic metals. The bio-composite adsorbent was prepared using graphene oxide, chitosan and carboxymethyl cellulose and characterized using FTIR, SEM-EDX and WAXD t...

Physical SciencesEnvironmental ScienceWater Science and Technology
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A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity

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Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Sayma Islam et al.

Journal: PLoS ONEYear: 2022Citations: 34

The complex feature characteristics and low contrast of cancer lesions, a high degree of inter-class resemblance between malignant and benign lesions, and the presence of various artifacts including hairs make automated melanoma recognition in dermoscopy images quite challenging. To date, various co...

Health SciencesMedicineOncologyOpen Access
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Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison

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Masuda Begum Sampa, Nazmul Hossain, Md. Rakibul Hoque, Rafiqul Islam et al.

Journal: JMIR Medical InformaticsYear: 2020Citations: 26

BACKGROUND: Uric acid is associated with noncommunicable diseases such as cardiovascular diseases, chronic kidney disease, coronary artery disease, stroke, diabetes, metabolic syndrome, vascular dementia, and hypertension. Therefore, uric acid is considered to be a risk factor for the development of...

Health SciencesMedicineNephrologyOpen Access
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Trigonal cluster-based ultra-sensitive surface plasmon resonance sensor for multipurpose sensing

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Mohammad Rakibul Islam, Md Moinul Islam Khan, Rahbar Al Rafid, Fariha Mehjabin et al.

Journal: Sensing and Bio-Sensing ResearchYear: 2022Citations: 22

We present an ultra-sensitive Surface Plasmon Resonance-based Photonic Crystal Fiber (SPR-PCF) sensor that can be employed for multipurpose sensing of analyte, temperature, and magnetic field. Our prototype has a trigonal cluster-based strategic pattern of circular air holes inside the fiber and can...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images

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Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan et al.

Journal: IEEE AccessYear: 2024Citations: 18

A novel automated multi-classification approach is proposed for the anticipation of lung abnormalities using chest X-ray and CT images. The study leverages a publicly accessible dataset with an insufficient and unbalanced number of images, addressing this issue by employing the data augmentation app...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Influence of Factors on the Adoption and Use of ICT-Based eHealth Technology by Urban Corporate People

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Masuda Begum Sampa, Md. Nazmul Hossain, Md. Rakibul Hoque, M. Rafiqul Islam et al.

Journal: Journal of Service Science and ManagementYear: 2020Citations: 14

The aim of this study is to investigate the influence of the factors that affect the use of a PHC system (portable health clinic, an eHealth technology) by urban corporate people in Bangladesh. This study uses the first and second versions of the technology acceptance model and the unified theory of...

Social SciencesDecision SciencesInformation Systems and ManagementOpen Access
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Exploring the nutraceutical potential: Evaluating the nutritional and bioactive functions of five pomelo fruit varieties in Bangladesh

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S. M. Kamrul Hasan, Md. Rakibul Islam, Md. Raihan Kabir, Md. Mahfuzar Rahman et al.

Journal: HeliyonYear: 2024Citations: 13

), the largest citrus fruit, provides a variety of nutrients that have several health benefits, including antioxidant and antidiabetic functions. Antioxidants help combat oxidative stress by neutralizing reactive oxygen species (ROS) and reducing cellular damage. On the other hand, antidiabetic prop...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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An improved keyword extraction method using graph based random walk model

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Md. Rafiqul Islam, Md. Rakibul Islam

Year: 2008Citations: 11

Keywords can be considered as condensed versions of documents, which can play important role in some text processing tasks such as text indexing, summarization and categorization. However, there are many digital documents especially on the Internet that do not have a list of assigned keywords. Assig...

Physical SciencesComputer ScienceArtificial Intelligence
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Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN

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Abdullah Al Rafi, Rakibul Hassan, M. R. Islam, Md. Nahiduzzaman

Journal: Studies in autonomic, data-driven and industrial computingYear: 2023Citations: 9
Physical SciencesComputer ScienceHuman-Computer Interaction
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CD-MAWS: An Alignment-Free Phylogeny Estimation Method Using Cosine Distance on Minimal Absent Word Sets

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Naser A. Anjum, Raian Latif Nabil, Rakibul Islam Rafi, Md. Shamsuzzoha Bayzid et al.

Journal: IEEE/ACM Transactions on Computational Biology and BioinformaticsYear: 2021Citations: 9

Multiple sequence alignment has been the traditional and well established approach of sequence analysis and comparison, though it is time and memory consuming. As the scale of sequencing data is increasing day by day, the importance of faster yet accurate alignment-free methods is on the rise. Sever...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Challenges and prospects of cost-effective Si-based solar cells fabrication in Bangladesh

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Md. Shafiqul Islam, Mahbubul Hoq, Mohammod Abu Sayid Haque, Md. Abdur Rafiq Akand et al.

Year: 2014Citations: 9

Solar cells are the basic building blocks of Solar Panels or Modules. There are presently nine companies manufacturing solar modules in the country. The total demand for solar cells in assembling solar modules of the nine companies are about 80-90MWp annually. In assembling solar modules, major raw ...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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An effective term weighting method using random walk model for text classification

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Md. Rafiqul Islam, Md. Rakibul Islam

Year: 2008Citations: 6

Text classification may be viewed as assigning texts in a predefined set of categories. However there are many digital documents that are not organized according to their contents. So it is difficult task to find relevant documents for a user. Automatic text classification problem can solve this pro...

Physical SciencesComputer ScienceArtificial Intelligence
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BDMANGO: An image dataset for identifying the variety of mango based on the mango leaves

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Mohammad Manzurul Islam, M. Ahmed, Muhammad Danial Shafi, Aritra Das et al.

Journal: Data in BriefYear: 2024Citations: 5

In the field of agriculture, particularly within the context of machine learning applications, quality datasets are essential for advancing research and development. To address the challenges of identifying different mango leaf types and recognizing the diverse and unique characteristics of mango va...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Dynamic Facility Layout Problem Using Chemical Reaction Optimization

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Md. Rakibul Hasan Molla, Moushan Naznin, Md. Rafiqul Islam

Year: 2020Citations: 5

In this paper, a renowned meta-heuristic algorithm named chemical reaction optimization (CRO) is applied to solve the Dynamic Facility Layout Problem (DFLP). DFLP is an NP-hard problem. This work employed chemical reaction optimization to optimize the total manufacturing cost in economic sight. Chem...

Physical SciencesEngineeringIndustrial and Manufacturing Engineering
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