49 citations · 80 across the 7 of their papers we have counts for
8 papers
Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems
Md Abrar Jahin, Shahriar Soudeep, M. F. Mridha +2
Real-time particle transverse momentum () estimation in high-energy physics demands algorithms that are both efficient and accurate under strict hardware constraints. Static m…
Challenges and Opportunities of Speech Recognition for Bengali Language
M. F. Mridha, Abu Quwsar Ohi, Md. Abdul Hamid +1
Speech recognition is a fascinating process that offers the opportunity to interact and command the machine in the field of human-computer interactions. Speech recognition is a lan…
End-to-End Optical Character Recognition for Bengali Handwritten Words
Farisa Benta Safir, Abu Quwsar Ohi, M. F. Mridha +2
Optical character recognition (OCR) is a process of converting analogue documents into digital using document images. Currently, many commercial and non-commercial OCR systems exis…
U-vectors: Generating clusterable speaker embedding from unlabeled data
M. F. Mridha, Abu Quwsar Ohi, Muhammad Mostafa Monowar +3
Speaker recognition deals with recognizing speakers by their speech. Most speaker recognition systems are built upon two stages, the first stage extracts low dimensional correlatio…
FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets
Abu Quwsar Ohi, M. F. Mridha, Md. Abdul Hamid +2
Fabric is a planar material composed of textile fibers. Textile fibers are generated from many natural sources; including plants, animals, minerals, and even, it can be synthetic.…
A Lightweight Speaker Recognition System Using Timbre Properties
Abu Quwsar Ohi, M. F. Mridha, Md. Abdul Hamid +3
Speaker recognition is an active research area that contains notable usage in biometric security and authentication system. Currently, there exist many well-performing models in th…
AutoEmbedder: A semi-supervised DNN embedding system for clustering
Abu Quwsar Ohi, M. F. Mridha, Farisa Benta Safir +2
Clustering is widely used in unsupervised learning method that deals with unlabeled data. Deep clustering has become a popular study area that relates clustering with Deep Neural N…
Congestion Control Protocol for Wireless Sensor Networks Handling Prioritized Heterogeneous Traffic
Muhammad Mostafa Monowar, Md. Obaidur Rahman, Al-Sakib Khan Pathan +1
Heterogeneous applications could be assimilated within the same wireless sensor network with the aid of modern motes that have multiple sensor boards on a single radio board. Diffe…