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Results for “"Iftekharul Mobin"”

16+ results

An Intelligent Sensor Based System for Real Time Heart Rate Monitoring (HRM)

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Nusrat Jahan Farin, S. M. A. Sharif, Iftekharul Mobin

Journal: Intelligent Control and AutomationYear: 2016Citations: 25

A method and apparatus for monitoring heart rate of the heart using a wearable system is designed and implemented in this paper. A heart rate receives from heart beat signals and stores the data to a database and after a time period this method can determine an idle heart rate of the monitoring body...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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A Comparative Study on Variational Autoencoders and Generative Adversarial Networks

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Mirza Tanzim Sami, Iftekharul Mobin

Year: 2019Citations: 19

Generative Adversarial Networks (GAN) have been remarkable at generating artificial data, especially realistic looking images. This learning framework has proven itself to be effective in synthetic image generation, semantic image hole filling, semantic image editing, style transfer and many more. O...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Rating Generation of Video Games using Sentiment Analysis and Contextual Polarity from Microblog

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Shandro Chakraborty, Iftekharul Mobin, Abhijeet Roy, Mobtasim Hasan Khan

Journal: 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS)Year: 2018Citations: 14

In these days people tend to check reviews and ratings of video games before spending money and time for a game. This paper proposes a new model of sentiment analysis for video game's reviews. In the proposed model, video game's rating will be generated by doing sentiment analysis on public opinion ...

Physical SciencesComputer ScienceArtificial Intelligence
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Study of a small printed quasi-self-complementary ultra wideband antenna for on-body applications

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Mohammad Monirujjaman Khan, Iftekharul Mobin, George Palikaras, Efthymios Kallos

Year: 2012Citations: 11

In this paper, the performance parameters of a small printed quasi-self-complementary ultra wideband (UWB) antenna in close proximity to the human body is investigated. The return loss response, impedance, radiation pattern and gain are investigated. The antenna shows good on-body performance, and t...

Physical SciencesEngineeringBiomedical Engineering
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T3SSLNet: Triple-Method Self-Supervised Learning for Enhanced Brain Tumor Classification in MRI

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Md. Nasif Safwan, Souhardo Rahman, Mahamodul Hasan Mahadi, Iftekharul Mobin et al.

Journal: IEEE AccessYear: 2025Citations: 8

Classification of brain tumors from MRI images is crucial for early diagnosis and effective treatment planning. However, there are still obstacles to overcome, including low image quality, sparsely labeled data, and variability in tumor characteristics. In this study, we explored the use of self-sup...

Life SciencesNeuroscienceNeurologyOpen Access
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Social Media as a Mirror: Reflecting Mental Health Through Computational Linguistics

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Iftekharul Mobin, A. F. M. Suaib Akhter, M. F. Mridha, Sakib Mahmud et al.

Journal: IEEE AccessYear: 2024Citations: 7

The world is grappling with a serious problem: many young individuals are taking their own lives. There is also a challenge in understanding the rising trend of this tendency. It is essential to explore the reasons driving people of all ages to consider suicide and find ways to encourage them to cho...

Social SciencesPsychologySocial PsychologyOpen Access
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A packet level simulation study of adhoc network with network simulator-2 (NS-2)

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Iftekharul Mobin, Sifat Momen, Nabeel Mohammed

Year: 2016Citations: 7

Researchers in the field of computer networking often relies on appropriate simulators to diagnose network and to analyze the impact of various parameters on the network performance. There now exists several simulators (in the areas of wireless ad-hoc network) that offer various features to measure ...

Physical SciencesComputer ScienceComputer Networks and Communications
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Extractive Text Summarization Technique Using Fuzzy C-Means Clustering Algorithm

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Shafiul Gani, Jia Uddin, Iftekharul Mobin

Journal: 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)Year: 2019Citations: 6

Text summarization process has become one of the significant research areas for years owing to cope up with the astounding increase of virtual textual materials. Text summarization is the process to keep the relevant important information of the original text in a shorter version with the main ideas...

Physical SciencesComputer ScienceArtificial Intelligence
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Brain fMRI Image Classification and Statistical Representation of Visual Objects

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Indrani Datta Tithi, Ummay Sadia Khanum Shuchi, Nazifa Tasneem, Iftekharul Mobin et al.

Year: 2019Citations: 4

The application of the given paper work is to estimate what image a human brain is visually perceiving based on the neuroimaging information observed from the ventral temporal cortex (VT) portion. In the process, we used the nilearn library from python repository along with the haxby dataset which i...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Augmented Quick Health

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Soroosh Sharif, Iftekharul Mobin, Nabeel Mohammed

Journal: International Journal of Computer ApplicationsYear: 2016Citations: 3

Personalized Health Assistants have gained popularity over the last few years. Such technologies allow users to monitor their health information in real time and often integrate with their smart devices, especially smart phones. Augmented Quick Health (AQH) is such an intelligent health monitoring s...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A Review of the State-of-the-Art Techniques and Analysis of Transformers for Bengali Text Summarization

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Iftekharul Mobin, Mahamodul Hasan Mahadi, Al‐Sakib Khan Pathan, A. F. M. Suaib Akhter

Journal: Big Data and Cognitive ComputingYear: 2025Citations: 2

Text summarization is a complex and essential task in natural language processing (NLP) research, focused on extracting the most important information from a document. This study focuses on the Extractive and Abstractive approaches of Bengali Text Summarization (BTS). With the breakthrough advanceme...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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BookCeption

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Aniqa Zaida Khanom, Sheikh Mastura Farzana, Tahsinur Rahman, Iftekharul Mobin

Year: 2019Citations: 2

BookCeption is a web-based book recommendation system that allows readers to browse and buy books across multiple platforms at the most affordable price. It fetches data from E-commerce sites like Barnes and Nobles, Amazon, eBay along with Facebook pages and retail bookstore websites. It is a unique...

Physical SciencesComputer ScienceInformation Systems
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Analysis and 3D Representation of Visual Information from fMRI of Ventral Temporal Cortex Using Neural Network and Support Vector Machine

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Md Tanzim Reza, Md Sakib Zaman, Iftekharul Mobin, Md Ashraful Alam

Year: 2019Citations: 2

Ventral Temporal Cortex (VTC) is a part of human brain that is responsible for the identification of different types of visual stimuli. The proposed model revolves around the analysis of VTC from fMRI of 6 subjects who were watching certain objects during the scan. Firstly, dataset was processed and...

Life SciencesNeuroscienceCognitive Neuroscience
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An Approach of IR-Based Short-Range Correspondence Systems for Swarm Robot Balanced Requisitions and Communications

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Rafiqul Islam, Iftekharul Mobin, Md. Nazmus Shakib, Matiur Rahman

Journal: International Journal of Artificial Intelligence & ApplicationsYear: 2016Citations: 2

This paper exhibits a short-run correspondence method appropriate for swarm versatile robots application. Infrared is utilized for transmitting and accepting information and obstruction location. The infrared correspondence code based swarm signaling is utilized for an independent versatile robot co...

Physical SciencesEngineeringMechanical EngineeringOpen Access
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OpthaNet: Attention‐Integrated Architecture for High‐Precision Multi‐Class Ophthalmic Image Classification

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Souhardo Rahman, Md. Nasif Safwan, Mahamodul Hasan Mahadi, Md. Iftekharul Mobin et al.

Journal: Healthcare Technology LettersYear: 2026Citations: 1

This study investigated the efficacy of pre-trained deep learning models for multi-class classification of eye diseases, namely cataract, diabetic retinopathy, and glaucoma, using fundus images. Although CNN and transformer-based models have been extensively explored separately in ophthalmic diagnos...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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