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Results for “"Rasif Ajwad"”

8 results

Analysis of Different Predicting Model for Online Shoppers’ Purchase Intention from Empirical Data

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Md Rayhan Kabir, Faisal Bin Ashraf, Rasif Ajwad

Year: 2019Citations: 33

The recent outburst of online shopping, commonly known as e-shopping, has added a new dimension in the business sector. In these days, people tend to explore online for finding the items they need and buy through online transaction. It has made their life more easy and comfortable. At the same time,...

Social Sciences
Business, Management and Accounting
Marketing
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Identifying the Risk of Cardiovascular Diseases From the Analysis of Physiological Attributes

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Nafis Mostafa, Muhammad Anwarul Azim, Md Rayhan Kabir, Rasif Ajwad

Journal: 2020 IEEE Region 10 Symposium (TENSYMP)Year: 2020Citations: 11

In the last few years, cardiovascular diseases have been increasing at an alarming rate and in most cases, this disease has not been detected at an early stage. In our study, we have analyzed some common physiological attributes to identify a pattern among the people having a cardiovascular disease ...

Health SciencesHealth ProfessionsHealth Information Management
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Looking Behind the Mask: A framework for Detecting Character Assassination via Troll Comments on Social media using Psycholinguistic Tools

Verified

Ahmed Al Marouf, Rasif Ajwad, Adnan Ferdous Ashrafi

Year: 2019Citations: 10

With the facilities of social media platforms like Facebook, Twitter, Google+, YouTube etc. people are capable of expressing their views & news, sharing moments via photos, liking, commenting and sharing others posts. The online social networks (OSNs) are not only giving positive supports to its use...

Physical SciencesComputer ScienceArtificial Intelligence
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A modified algorithm for DNA motif finding and ranking considering variable length motif and mutation

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Adnan Ferdous Ashrafi, Asif Newaz, Rasif Ajwad, Moin Mahmud Tanvee et al.

Year: 2015Citations: 4

With the evolution of time the gene composition of species have changed a lot. Consequently it has mutated to generate new diseases and traits. In order to identify genes or coding sections of a DNA sequence it is imperative to find out the promoter regions or the conserved regions of the DNA code f...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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A novel gene-tree based approach to infer relations among disease-genes across different cancer types

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Faisal Bin Ashraf, Rasif Ajwad, Md. Abdul Mottalib

Year: 2019Citations: 2

Due to advanced sequencing techniques, we now have abundant collection of gene sequence data. Creating a correlation among these sequence data to infer disease-related information seems to be a tough ask even now, due to the lack of inter-disease association studies. In this paper we have proposed a...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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An optimized algorithm to find maximum parsimonious tree using PrimeNucleotide based approach

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Rasif Ajwad, Syed Nayem Hossain, Golam Mostaeen, Md. Abdul Mottalib

Year: 2014Citations: 1

Phylogenetic inference methods like Maximum-parsimony perform exhaustive search strategy to extract evolutionary information from genomic sequences. Complexity arises when we increase the number of sequences involved, as the number of possible solutions increase exponentially alongside. In this pape...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Identifying the best metrics to find the best quality clusters of genes from gene expression data

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Raihanoor Reza Rayon, Joydhriti Choudhury, Mohammad Tawhidul Islam, Tanzima Rahman Roshni et al.

Year: 2019

With the recent advancement of computing technique and data availability in the field of computational biology, it has been a great opportunity for the scientists to find the evolutionary relation among the living beings in terms of their genotypic and phenotypic attributes. Microarray, one of the e...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Optimizing DNA sequences using Tetra-nucleotide RankList

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Rasif Ajwad, Syed Nayem Hossain, Md. Abid Hasan

Year: 2014

Recent advancement in the field of life science has caused the generation of massive amount of genomic data. Storing such huge amount of data require a lot of memory. However, by using efficient algorithm we can optimize the size of the dataset and save memory storage. In this paper we have proposed...

Physical SciencesComputer ScienceArtificial Intelligence
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