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Results for “"Md. Iftekharul Alam Efat"”

14 results

A Systematic Review of Blockchain Applications

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Farhana Akter Sunny, Petr Hájek, Michal Munk, Mohammad Zoynul Abedin et al.

Journal: IEEE AccessYear: 2022Citations: 141

For this study, the researchers conducted a systematic literature review to answer complex questions about the field of blockchain technology. We used an unbiased systematic review process to find works on blockchain-based applications and developed a Python code that searched various online databas...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales

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Md. Iftekharul Alam Efat, Petr Hájek, Mohammad Zoynul Abedin, Rahat Uddin Azad et al.

Journal: Annals of Operations ResearchYear: 2022Citations: 65
Social SciencesDecision SciencesManagement Science and Operations ResearchOpen Access
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Automated Bangla text summarization by sentence scoring and ranking

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Md. Iftekharul Alam Efat, Mohammad Ibrahim, Humayun Kayesh

Year: 2013Citations: 34

In Natural Language Processing (NLP) the document summarization is an area that is getting interest of modern researchers. Though there are many techniques that have been proposed for English language but a few notable works have been done for Bangla text summarization. This paper deals with the dev...

Physical SciencesComputer ScienceArtificial Intelligence
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IoT Based Smart Health Monitoring System for Diabetes Patients Using Neural Network

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Md. Iftekharul Alam Efat, Shoaib Rahman, Tasnim Rahman

Journal: Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications EngineeringYear: 2020Citations: 27
Physical SciencesEngineeringBiomedical Engineering
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A Hybrid GRU-CNN Feature Extraction Technique for Speaker Identification

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Md. Shazzad Hossain Shihab, Shuvra Aditya, Jahangir Hossain Setu, K. M. Imtiaz-Ud-Din et al.

Year: 2020Citations: 9

Speaker identification with diversified voice clip across the globe is a crucial and challenging task, specially extracting vigorous and discriminative features. In this paper, we demonstrated an end-to-end speaker identification pipeline introducing a hybrid Gated Recurrent Unit (GRU) and Convoluti...

Physical SciencesComputer ScienceArtificial Intelligence
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Blockchain aided Vehicle Certification (BVC): A Secured E-Governance Framework for Transport Stakeholders

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Moonmoon Das, Rahat Uddin Azad, Md. Iftekharul Alam Efat

Year: 2020Citations: 8

The exponential progression of digitalization created extensive prospects of e-governance, especially for transport stakeholders. Therefore, involving the transport participants remotely with governing activity digitally in the ease with the certification procedure in a paperless approach is exceedi...

Physical SciencesComputer ScienceInformation Systems
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Identifying optimised speaker identification model using hybrid GRU-CNN feature extraction technique

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Md. Iftekharul Alam Efat, Md. Shazzad Hossain, Shuvra Aditya, Jahanggir Hossain Setu et al.

Journal: International Journal of Computational Vision and RoboticsYear: 2022Citations: 5

Extracting vigorous and discriminative features and selecting an appropriate classifier model to identify speakers from voice clips are challenging tasks. Thus, we considered signal processing techniques and deep neural networks for feature extraction along with state-of-art machine-learning models ...

Physical SciencesComputer ScienceArtificial Intelligence
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Deep Convolutional Comparison Architecture for Breast Cancer Binary Classification

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Nasim Ahmed Roni, Md. Shazzad Hossain, Musarrat Bintay Hossain, Md. Iftekharul Alam Efat et al.

Journal: Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications EngineeringYear: 2023Citations: 4
Physical SciencesComputer ScienceArtificial Intelligence
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Feature prioritization for analyzing and enhancing software reusability

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Md. Iftekharul Alam Efat, Md. Saeed Siddik, Mohammad Shoyaib, Shah Mostafa Khaled

Year: 2014Citations: 4

Software reuse plays an important role in the development of new software, due to its potential benefits, which include increased product quality and decreased product cost and schedule. Although software industry has been going through a tremendous development in recent decades, component reuse is ...

Physical SciencesComputer ScienceInformation Systems
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Face verification with fully dynamic size blocks based on landmark detection

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Mohammad Ibrahim, Md. Iftekharul Alam Efat, Shah Mostafa Khaled, Mohammad Shoyaib

Year: 2014Citations: 3

Face recognition and verification is still a challenging problem due to several issues such as pose, facial expression, occlusion, imaging conditions, rotation, size and orientation. This paper addresses the problem of recognizing human faces despite the presence in pose and size variation. To handl...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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A Predictive Meta Model for Forecasting Stock Price using Time Series Data

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Alam Efat, Uddin Azad, U Agarwal, A et al.

Journal: International Journal of Advanced Trends in Computer Science and EngineeringYear: 2021Citations: 1

Stock market prediction through time series is a challenging as well as an interesting research areafor the finance domain, through which stock traders and investors can find the right time to buy/sell stocks. However, various algorithms have been developed based on the statistical approach to forec...

Social SciencesDecision SciencesManagement Science and Operations ResearchOpen Access
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Lightweight temporal violence detection using YOLOv7-Tiny and Bi-GRU for resource-constrained environments

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Hasanur Rahman Shishir, Nazmun Nahar, Mayeen Uddin Khandaker, Md Hasan Imam et al.

Journal: Systems and Soft ComputingYear: 2026

• A lightweight temporal violence detection framework was designed by combining YOLOv7-Tiny and Bi-GRU. It got 83.02% accuracy, 83.34% precision, and 82.91% F1-score on the UCF-Crime dataset. • Adaptive Frame Control made it possible to process data in real time in environments with limited resource...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Optimized Energy Consumption in Healthcare WSNs Using Enhanced LEACH Protocol with K-Means

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Md. Iftekharul Alam Efat, Tasnim Rahman, S. AKASH ADITYA, Kaushik Sarker

Journal: Lecture notes in networks and systemsYear: 2025
Physical SciencesComputer ScienceComputer Networks and Communications
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Paperless Vehicle Certification (PVC) Framework for Transport Stakeholders

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Md. Iftekharul Alam Efat, Shouvick Ahmed Naim, Tasnim Rahman

Year: 2020

Increasing number of smart phones created widespread opportunity for citizens along with e-governance opportunities. Therefore, it is exceedingly possible to connect the transport stakeholders remotely with various certification processes in a paperless approach. In this article an e-governance fram...

Physical SciencesComputer ScienceComputer Networks and Communications
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