Talha Ibn Mahmud

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Bendraautoriai

Shaikh Anowarul FattahProfessor, Dept. of EEE, BUETPatvirtintas el. paštas eee.buet.ac.bd
Tanvir MahmudPhD Candidate, The University of Texas at AustinPatvirtintas el. paštas utexas.edu
Ishtiaque Ahmed KhanDoctoral Student, CS at Virginia TechPatvirtintas el. paštas vt.edu
Shahed AhmedGraduate Research Assistant, School of ECE, Purdue UniversityPatvirtintas el. paštas eee.buet.ac.bd
M. Omair AhmadProfessor of Electrical and Computer Engineering, Concordia UniversityPatvirtintas el. paštas ece.concordia.ca
Wei-Ping ZhuConcordia UniversityPatvirtintas el. paštas ece.concordia.ca
Celia ShahnazProfessor, Department of EEE, Bangladesh University of Engineering and TechnologyPatvirtintas el. paštas eee.buet.ac.bd
Sheikh Asif Imran ShoubornoPhD Student, Worcester Polytechnic InstitutePatvirtintas el. paštas wpi.edu
Md Adnan Faisal HossainPhD candidate, Electrical and Computer Engineering, Purdue UniversityPatvirtintas el. paštas purdue.edu
MD Jahin AlamDoctoral Student, Department of ECE, Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Mir Sayeed MohammadGraduate Research Assistant, ECE, Georgia Institute of TechnologyPatvirtintas el. paštas gatech.edu
Ishtiaque Ahmed ShowmikPhD Student at The Ohio State UniversityPatvirtintas el. paštas osu.edu
Arnab BhattacharjeeAssistant Professor, Department of EEE, Bangladesh University of Engineering and technology (BUET)Patvirtintas el. paštas eee.buet.ac.bd
Raihan AliLecturer, Deaprtment of EEE, University of Information Technology and Science (UITS)Patvirtintas el. paštas uits.edu.bd
Naveed IshraqGraduate Research Assistant, Arizona State UniversityPatvirtintas el. paštas asu.edu
Mohseu Rashid SubahGraduate Research Assistant, Weldon School of Biomedical Engineering, Purdue UniversityPatvirtintas el. paštas purdue.edu
Nayeeb RashidPh.D. student, Dept. of ECE, University of Maryland - College ParkPatvirtintas el. paštas umd.edu

Stebėti

Talha Ibn Mahmud

Graduate Research Assistant, Purdue University

Patvirtintas el. paštas purdue.edu - Pagrindinis puslapis

Generative Modelling Signal Processing Machine Learning Deep Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Sleep apnea detection from variational mode decomposed EEG signal using a hybrid CNN-BiLSTM T Mahmud, IA Khan, TI Mahmud, SA Fattah, WP Zhu, MO Ahmad IEEE Access 9, 102355-102367, 2021	35	2021
S2C-DeLeNet: A parameter transfer based segmentation-classification integration for detecting skin cancer lesions from dermoscopic images MJ Alam, MS Mohammad, MAF Hossain, IA Showmik, MS Raihan, ... Computers in Biology and Medicine 150, 106148, 2022	30	2022
Sleep apnea event detection from sub-frame based feature variation in EEG signal using deep convolutional neural network T Mahmud, IA Khan, TI Mahmud, SA Fattah, WP Zhu, MO Ahmad 2020 42nd annual international conference of the IEEE engineering in …, 2020	20	2020
Res-SE-ConvNet: A deep neural network for hypoxemia severity prediction for hospital in-patients using photoplethysmograph signal TI Mahmud, SA Imran, C Shahnaz IEEE Journal of Translational Engineering in Health and Medicine 10, 1-9, 2022	10	2022
Deep convolutional neural network based sleep apnea detection scheme using spectro-temporal subframes of EEG signal IA Khan, TI Mahmud, T Mahmud, SA Fattah 2020 11th international conference on electrical and computer engineering …, 2020	6	2020
A sub-frame based feature extraction approach from split-band EEG signal for sleep apnea event detection using multi-layer LSTM T Mahmud, IA Khan, TI Mahmud, SA Fattah 2020 IEEE region 10 symposium (TENSYMP), 1299-1302, 2020	5	2020
Complete Automation of an E-commerce System with Internet of Things SAI Shouborno, TI Mahmud, N Ishraq, R Ali, TH Joy, SA Fattah, ... 2019 IEEE International Conference on Robotics, Automation, Artificial …, 2019	5	2019
Dense-par-AttNet: an attention based deep learning model for skin lesion classification by transfer learning approach MR Uddin, TI Mahmud 2022 IEEE International Conference on Artificial Intelligence in Engineering …, 2022	4	2022
A machine-learning-enabled smart neckband for monitoring dietary intake T Park, TI Mahmud, J Lee, S Hong, JY Park, Y Ji, T Chang, J Yi, MK Kim, ... PNAS nexus 3 (5), pgae156, 2024	3	2024
Real time sleep apnea event detection with deep neural network T Mahmud, MAA Ansary, TI Mahmud, IA Khan, SA Fattah 2019 IEEE International Conference on Biomedical Engineering, Computer and …, 2019	2	2019
MetaFood3D: Large 3D Food Object Dataset with Nutrition Values Y Chen, J He, C Czarnecki, G Vinod, TI Mahmud, S Raghavan, J Ma, ... arXiv preprint arXiv:2409.01966, 2024	1	2024
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results J He, Y Chen, G Vinod, TI Mahmud, F Zhu, E Delp, A Wong, P Xi, ... arXiv preprint arXiv:2407.09285, 2024	1	2024
A Multi Constrained Transformer-BiLSTM Guided Network for Automated Sleep Stage Classification from Single-Channel EEG F Sadik, MT Raihan, RB Rashid, M Rahman, SM Abdal, S Ahmed, ... arXiv preprint arXiv:2309.10542, 2023	1	2023
NutritionVerse-3D-2.0: A High-resolution 3D Food Dataset for Nutrition Estimation KJ Czarnecki, G Vinod, TI Mahmud, AT Chi-en, Y Chen, J He, FM Zhu, ... Journal of Computational Vision and Imaging Systems 9 (1), 45-49, 2023		2023
DenseLinkNet: A Deep Convolutional Architecture for Automatic Segmentation of Corneal Endothelial Cell J Tasnim, B Halder, O Saha, TI Mahmud, S Ahmed 2022 12th International Conference on Electrical and Computer Engineering …, 2022		2022
Motor Imagery Hand Movement Classification Using Attention Network Integrated Inception Model MR Uddin, A Jawad, TI Mahmud 2022 12th International Conference on Electrical and Computer Engineering …, 2022		2022
Heart Abnormality Detection from Heart Sound Signals using MFCC Feature and Dual Stream Attention Based Network N Rashid, S Saha, MR Subah, RA Robin, SMH Fahim, S Ahmed, ... arXiv preprint arXiv:2211.09751, 2022		2022
MetaFood3D: 3D Food Dataset with Nutrition Values Y Chen, J He, C Czarnecki, G Vinod, TI Mahmud, S Raghavan, J Ma, ...

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