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ORCIDNihad Karim Chowdhury
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2020 – today
- 2023
[i5]Abdul Aziz, Nihad Karim Chowdhury, Muhammad Ashad Kabir, Abu Nowshed Chy, Md Jawad Siddique:
MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data. CoRR abs/2310.14143 (2023)- 2022
- [j6]Nihad Karim Chowdhury
, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Sheikh Mohammed Shariful Islam:
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method. Comput. Biol. Medicine 145: 105405 (2022) - [j5]Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury:
A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging. Quant. Biol. 10(2): 188 (2022) - [c6]Afrin Sultana, Nihad Karim Chowdhury, Abu Nowshed Chy:
CSECU-DSG@SMM4H'22: Transformer based Unified Approach for Classification of Changes in Medication Treatments in Tweets and WebMD Reviews. SMM4H@COLING 2022: 118-122 - 2021
- [j4]Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Noortaz Rezoana:
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19. PeerJ Comput. Sci. 7: e551 (2021) - [i4]Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury:
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging. CoRR abs/2108.04344 (2021) - [i3]Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman:
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification. CoRR abs/2110.00508 (2021) - 2020
- [j3]Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir:
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images. Health Inf. Sci. Syst. 8(1): 27 (2020) - [i2]Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir:
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images. CoRR abs/2007.14777 (2020) - [i1]Nihad Karim Chowdhury, Md. Muhtadir Rahman, Noortaz Rezoana, Muhammad Ashad Kabir:
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays. CoRR abs/2009.11850 (2020)
2010 – 2019
- 2015
- [j2]Bo Li, Yijuan Lu, Chunyuan Li, Afzal Godil, Tobias Schreck, Masaki Aono, Martin Burtscher, Qiang Chen, Nihad Karim Chowdhury, Bin Fang, Hongbo Fu, Takahiko Furuya, Haisheng Li, Jianzhuang Liu, Henry Johan, Ryuichi Kosaka, Hitoshi Koyanagi, Ryutarou Ohbuchi, Atsushi Tatsuma, Yajuan Wan, Chaoli Zhang, Changqing Zou:
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries. Comput. Vis. Image Underst. 131: 1-27 (2015) - 2014
- [c5]Bo Li, Yijuan Lu, C. Li, Afzal Godil, Tobias Schreck, Masaki Aono, Qiang Chen, Nihad Karim Chowdhury, Bin Fang, Takahiko Furuya, Henry Johan, Ryuichi Kosaka, Hitoshi Koyanagi, Ryutarou Ohbuchi, Atsushi Tatsuma:
Large Scale Comprehensive 3D Shape Retrieval. 3DOR@Eurographics 2014: 131-140 - 2011
- [c4]Nihad Karim Chowdhury, Carson Kai-Sang Leung:
Improved Travel Time Prediction Algorithms for Intelligent Transportation Systems. KES (2) 2011: 355-365 - 2010
- [j1]Jae-Woo Chang, Nihad Karim Chowdhury, Hyunjo Lee:
New travel time prediction algorithms for intelligent transportation systems. J. Intell. Fuzzy Syst. 21(1-2): 5-7 (2010) - [c3]Rudra Pratap Deb Nath, Hyunjo Lee, Nihad Karim Chowdhury, Jae-Woo Chang:
Modified K-Means Clustering for Travel Time Prediction Based on Historical Traffic Data. KES (1) 2010: 511-521
2000 – 2009
- 2009
- [c2]Nihad Karim Chowdhury, Rudra Pratap Deb Nath, Hyunjo Lee, Jae-Woo Chang:
Development of an Effective Travel Time Prediction Method Using Modified Moving Average Approach. KES (1) 2009: 130-138 - 2008
- [c1]Hyunjo Lee, Nihad Karim Chowdhury, Jae-Woo Chang:
A New Travel Time Prediction Method for Intelligent Transportation Systems. KES (1) 2008: 473-483
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