Md. Mumtahin Habib Ullah Mazumder

An Evidential Dynamic Neighborhood Approach to Learn from Imbalanced Data

Md. Eusha Kadir, Md. Mumtahin Habib Ullah Mazumder, Muhammad Alam, Mohammad Shoyaib

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Bridging Data Gaps: Enhancing Wireless Localization with Physics-Informed Data Augmentation

Md. Mumtahin Habib Ullah Mazumder, Frost Mitchell, Aditya Bhaskara, Sneha Kumar Kasera et autres

Machine learning (ML) models have emerged as the state-of-the-art approach for wireless applications such as transmitter localization. One of the challenges for ML models, however, is their reliance on the abundance of high quality data. Specifically for localization, a significant challenge is …

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Augmented Outdoor RSS Dataset for Single- and Two-Transmitter Localization

Md. Mumtahin Habib Ullah Mazumder

Augmented Outdoor RSS Dataset for Single- and Two-Transmitter Localization Overview This record contains a physics-informed augmented derivative of the outdoor RSS localization dataset A Dataset of Outdoor RSS Measurements for Localization. The original dataset was collected on the University of Utah / …

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Augmented Outdoor RSS Dataset for Single- and Two-Transmitter Localization

Md. Mumtahin Habib Ullah Mazumder

Augmented Outdoor RSS Dataset for Single- and Two-Transmitter Localization Overview This record contains a physics-informed augmented derivative of the outdoor RSS localization dataset A Dataset of Outdoor RSS Measurements for Localization. The original dataset was collected on the University of Utah / …

us (code pays fourni par la source)

BdSL47: A complete depth-based Bangla sign alphabet and digit dataset

S M Rayeed, Sidratul Tamzida Tuba, Hasan Mahmud, Md. Mumtahin Habib Ullah Mazumder et autres

Sign Language Recognition (SLR) is crucial for enabling communication between the deaf-mute and hearing communities. Nevertheless, the development of a comprehensive sign language dataset is a challenging task due to the complexity and variations in hand gestures. This challenge is particularly evident …

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cFEM: a cluster based feature extraction method for network intrusion detection

Md. Mumtahin Habib Ullah Mazumder, Md. Eusha Kadir, Sadia Sharmin, Md. Shariful Islam et autres

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RHC: Cluster based Feature Reduction for Network Intrusion Detections

Md. Hasan Tarek, Md. Mumtahin Habib Ullah Mazumder, Sadia Sharmin, Md. Shariful Islam et autres

Intrusion Detection Systems (IDSs) play an important part in securing computer networks from different malicious threats and attacks. Modern IDSs leverage machine learning algorithms for effective intrusion detection. However, network traffic flows contain a large number of redundant features in a high-dimensional …

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Bdsl47: A Complete Open-Access Depth-Based Bangla Sign Alphabet and Digit Dataset

S M Rayeed, Sidratul Tamzida Tuba, Hasan Mahmud, Md. Saddam Hossain Mukta et autres

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A Novel Framework for Blockchain Based Driving License Management and Driver’s Reputation System for Bangladesh

Md. Mumtahin Habib Ullah Mazumder, Tahmidul Islam, Md. Raiyan Alam, Md Ebtesam Al Haque et autres

In this paper, we reviewed the challenges and drawbacks of current licensing process such as lack of transparency, accountability, difficulties to track the provenance of information and assert traceability. As a solution to the issues we proposed a novel framework based on …

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