85 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of RajshahiBD7 papers
- International University of Business Agriculture and TechnologyBD3 papers
- Mississippi State UniversityUS3 papers
- University of GlasgowGB3 papers
- BRAC UniversityBD2 papers
- Åbo Akademi UniversityFI1 paper
- American Museum of Natural HistoryUS1 paper
- Amherst CollegeUS1 paper
- Auburn UniversityUS1 paper
- Bangladesh University of Engineering and TechnologyBD1 paper
- California Institute of TechnologyUS1 paper
- Charité - Universitätsmedizin BerlinDE1 paper
23 papers
Sketch2Sim: an end-to-end modular framework for hand-drawn circuit analysis
Mohammad Kawsar, Al Amin Islam Ridoy, Md Rakib Hossain +4
This study proposes a sketch-to-simulation system to solve handwritten circuit diagrams. The system converts raw images into a Simulation Program with Integrated Circuit Emphasis (…
Minimizing the Effect of Sleep Deprivation in the Forward-Forward Algorithm
Joy Datta, Puja Saha, Rawhatur Rabbi +4
This paper addresses the challenge posed by sleep deprivation in the Forward-Forward algorithm, where separating the two passes in this algorithm and imbalancing the data processin…
A SPHEREx Pipeline and Spectral Library for Ultracool Dwarfs
Jonathan Gagné, Jacqueline K. Faherty, Azul Ruiz Diaz +72
We present a Python spectrophotometry extraction tool tailored for fast-moving point sources detected in the SPHEREx mission, and use it to construct a set of 0.75-5.0 m low-res…
PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection
Md Shahriar Sajid, Abhijit Kumar Ghosh, Fariha Nusrat
Electroencephalography (EEG) signals contain rich temporal-spectral structure but are difficult to model due to noise, subject variability, and multi-scale dynamics. Lightweight de…
TEANet: A Transpose-Enhanced Autoencoder Network for Wearable Stress Monitoring
Md Santo Ali, Sapnil Sarker Bipro, Mohammod Abdul Motin +3
Mental stress poses a significant public health concern due to its detrimental effects on physical and mental well-being, necessitating the development of continuous stress monitor…
NeuroSleepNet: An Explainable Multi-Head Attention-Based Framework With Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Chandan Karmakar +2
Automatic sleep stage scoring is crucial for monitoring sleep quality and sleep-related disorders. However, most existing electroencephalogram (EEG) based deep learning frameworks…
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
Mohammad Wazed Ali, Asif bin Mustafa, Md. Aukerul Moin Shuvo +1
Electrification of vehicles is a potential way of reducing fossil fuel usage and thus lessening environmental pollution. Electric Vehicles (EVs) of various types for different tran…
Dual Threats in RIS-Aided RF-UOWC Mixed Networks: Secrecy Performance Analysis under Simultaneous RF and UOWC Eavesdropping
Md. Abdur Rakib, Md. Ibrahim, A. S. M. Badrudduza +1
In the dynamic realm of 6G technology, emphasizing security is essential, particularly for optimizing high-performance communication. A notable strategy involves the use of reconfi…
Secrecy Performance Analysis of Integrated RF-UWOC IoT Networks Enabled by UAV and Underwater-RIS
Abrar Bin Sarawar, A. S. M. Badrudduza, Md. Ibrahim +2
In the sixth-generation (6G) Internet of Things (IoT) networks, the use of UAV-mounted base stations and reconfigurable intelligent surfaces (RIS) has been considered to enhance co…
An Efficient and Scalable Auditing Scheme for Cloud Data Storage using an Enhanced B-tree
Tariqul Islam, Faisal Haque Bappy, Md Nafis Ul Haque Shifat +3
An efficient, scalable, and provably secure dynamic auditing scheme is highly desirable in the cloud storage environment for verifying the integrity of the outsourced data. Most of…
Identifying roadway departure crash patterns on rural two-lane highways under different lighting conditions: association knowledge using data mining approach
Ahmed Hossain, Xiaoduan Sun, Shahrin Islam +2
More than half of all fatalities on U.S. highways occur due to roadway departure (RwD) each year. Previous research has explored various risk factors that contribute to RwD crashes…
Vision-Based Robust Lane Detection and Tracking under Different Challenging Environmental Conditions
Samia Sultana, Boshir Ahmed, Manoranjan Paul +2
Lane marking detection is fundamental for both advanced driving assistance systems. However, detecting lane is highly challenging when the visibility of a road lane marking is low…
Myoelectric Pattern Recognition Performance Enhancement Using Nonlinear Features
Md. Johirul Islam, Shamim Ahmad, Fahmida Haque +3
The multichannel electrode array used for electromyogram (EMG) pattern recognition provides good performance, but it has a high cost, is computationally expensive, and is inconveni…
Enhancing Security of TAS/MRC Based Mixed RF-UOWC System with Induced Underwater Turbulence Effect
Md. Ibrahim, A. S. M. Badrudduza, Md. Shakhawat Hossen +2
Post commercial deployment of fifth-generation (5G) technologies, the consideration of sixth-generation (6G) networks is drawing remarkable attention from research communities. Res…
Multi-Objective Optimization for Sustainable Closed-Loop Supply Chain Network Under Demand Uncertainty: A Genetic Algorithm
Ahmad Sobhan Abir, Ishtiaq Ahmed Bhuiyan, Mohammad Arani +1
Supply chain management has been concentrated on productive ways to manage flows through a sophisticated vendor, manufacturer, and consumer networks for decades. Recently, energy a…
Reconfigurable Parallel Architecture of High Speed Round Robin Arbiter
Arnab Paul, Mamdudul Haque Khan, M. Muktadir Rahman +3
With a view to managing the increasing traffic in computer networks, round robin arbiter has been proposed to work with packet switching system to have increased speed in providing…
ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise for Identifying Clusters with Varying Densities
Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Rezoana Bente Arif +1
Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm which has the high-performance rate for dataset where clusters have the constant…
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network
Rezoana Bente Arif, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan +1
Nowadays, deep learning can be employed to a wide ranges of fields including medicine, engineering, etc. In deep learning, Convolutional Neural Network (CNN) is extensively used in…
Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository
Mohammad Mahmudur Rahman Khan, Rezoana Bente Arif, Md. Abu Bakr Siddique +1
Machine learning qualifies computers to assimilate with data, without being solely programmed [1, 2]. Machine learning can be classified as supervised and unsupervised learning. In…
Comparative Performance Analysis of Different Modulation Techniques for PAPR Reduction of OFDM Signal
Md. Munjure Mowla, Liton Chandra Paul, Md. Rabiul Hasan
One of the most important multi-carrier transmission techniques used in the latest wireless communication arena is known as Orthogonal Frequency Division Multiplexing (OFDM). It ha…
A Modified Design of ACF Operation for Reducing PAPR of OFDM Signal
M. M. Mowla, M. Y. Ali, S. M. M Hasan
Next generation wireless communication technology long term evolution (LTE) has implemented orthogonal frequency division multiplexing (OFDM) technique as a strong candidate for ra…
Performance Improvement of PAPR Reduction for OFDM Signal In LTE System
Md. Munjure Mowla, S. M. Mahmud Hasan
Orthogonal frequency division multiplexing (OFDM) is an emerging research field of wireless communication. It is one of the most proficient multi-carrier transmission techniques wi…
Performance Comparison of Two Clipping Based Filtering Methods for PAPR Reduction in OFDM Signal
Md. Munjure Mowla, Md. Yeakub Ali, Rifat Ahmmed Aoni
The growth of wireless communication technologies has been producing the intense demand for high-speed, efficient, reliable voice & data communication. As a result, third generatio…