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ORCIDDewan Md. Farid 0001
Person information
- affiliation: United International University, Department of Computer Science and Engineering, Dhaka, Bangladesh
Other persons with the same name
- Dewan Md. Farid — disambiguation page
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2020 – today
- 2025
[j10]Dewan Farid
, Proshanta Kumer Das, Monirul Islam, Ebna Sina:
Bangladeshi Vehicle Classification and Detection Using Deep Convolutional Neural Networks With Transfer Learning. IEEE Access 13: 26429-26455 (2025)- 2024
- [j9]Koushik Roy, Dewan Md. Farid:
An Adaptive Feature Selection Algorithm for Student Performance Prediction. IEEE Access 12: 75577-75598 (2024) - [i2]Niful Islam, Mohaiminul Islam Bhuiyan, Jarin Tasnim Raya, Nur Shazwani Kamarudin, Khan Md. Hasib, Muhammad Firoz Mridha, Dewan Md. Farid:
Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation. CoRR abs/2406.19690 (2024) - [i1]Niloy Kumar Kundu, Mainul Karim, Sarah Kobir, Dewan Md. Farid:
Attention Based Feature Fusion Network for Monkeypox Skin Lesion Detection. CoRR abs/2408.06640 (2024) - 2023
- [c16]Md. Ashif Mahmud Joy, Md. Fuad Hasan Khan Chowdhury, Sinha Afroz, Md. Nurul Islam, Ruaida Muhsinat, Mukta Akanda Moly, Dewan Farid:
Real-Time Face Recognition with Mask using Deep Convolutional Neural Network. CNIOT 2023: 457-461 - [c15]Mohammad Masudur Rahman, Dewan Md. Farid:
Exploring Federated Learning with Naïve Bayes using AVC Information. ICCCNT 2023: 1-6 - [c14]Dipu Saha, Mainul Karim, Suriya Phongmoo, Dewan Md. Farid:
A Privacy-Preserving Approach for Big Data Mining Using RainForest with Federated Learning. TENCON 2023: 59-64 - 2022
- [c13]Ahmed Shabab Noor, Muhib Al Hasan, Ahmed Rafi Hasan, Rezab Ud Dawla, Afsana Airin, Akib Zaman, Dewan Md. Farid:
The Impact of Data Locality on the Performance of Cluster-Based Under-Sampling. MIET (2) 2022: 204-215 - [c12]Afsana Airin, Rezab Ud Dawla, Ahmed Shabab Noor, Muhib Al Hasan, Ahmed Rafi Hasan, Akib Zaman, Dewan Md. Farid:
Attention-Based Scene Graph Generation: A Review. SKIMA 2022: 210-215 - [c11]Abdullah Al Masud, Sabbir Hossain, Muhsina Rifa, Farhana Akter, Akib Zaman, Dewan Md. Farid:
Meta-Learning in Supervised Machine Learning. SKIMA 2022: 222-227 - [c10]Saleh Akram Joy, Arefin Ittesafun Abian, Shifa Chowdhury Iwase, Syed Ishtiak Rahman, Juairia, Tapotosh Ghosh, Dewan Md. Farid:
Agriculture 4.0 in Bangladesh: Issues and Challenges. SKIMA 2022: 245-250 - [c9]Akib Zaman, Anika Tahsin, Mostafizur Rahman, Rabeya Akhter, Hinoy Rahman, Shobnom Mustary, Dewan Md. Farid:
Emotion Detection for Children on the Autism Spectrum using BCI and Web Technology. WI/IAT 2022: 207-214
2010 – 2019
- 2019
- [j8]Rafsanjani Muhammod, Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, Alok Sharma, Abdollah Dehzangi:
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences. Bioinform. 35(19): 3831-3833 (2019) - [c8]Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, Dewan Md. Farid:
An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification. SKIMA 2019: 1-6 - [c7]Shabnam Sabah, Sara Zumerrah Binte Anwar, Sadia Afroze, Md. Abulkalam Azad, Swakkhar Shatabda, Dewan Md. Farid:
Big Data with Decision Tree Induction. SKIMA 2019: 1-6 - 2018
- [j7]Md. Rafsan Jani, Md Toha Khan Mozlish, Sajid Ahmed, Niger Sultana Tahniat, Dewan Md. Farid, Swakkhar Shatabda:
iRecSpot-EF: Effective sequence based features for recombination hotspot prediction. Comput. Biol. Medicine 103: 17-23 (2018) - [j6]M. Abdulla Al Mamun, Worawut Srisukkham, Dewan Md. Farid, Lorna Ravenhill, Li Zhang, M. Alamgir Hossain, Rosemary Bass:
A quantitative image analysis for the cellular cytoskeleton during in vitro tumor growth. Expert Syst. Appl. 92: 39-51 (2018) - [c6]Md. Ochiuddin Miah, Al Maruf Hassan, Khondaker Abdullah Al Mamun, Dewan Md. Farid:
Brain-Machine Interface for Developing Virtual-Ball Movement Controlling Game. IJCCI 2018: 607-616 - 2017
- [c5]Md. Yasir Arafat, Sabera Hoque, Dewan Md. Farid:
Cluster-based under-sampling with random forest for multi-class imbalanced classification. SKIMA 2017: 1-6 - [c4]Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman:
MEBoost: Mixing estimators with boosting for imbalanced data classification. SKIMA 2017: 1-6 - 2016
- [j5]Dewan Md. Farid, M. Abdulla Al Mamun, Bernard Manderick, Ann Nowé:
An adaptive rule-based classifier for mining big biological data. Expert Syst. Appl. 64: 305-316 (2016) - [c3]Dewan Md. Farid, Ann Nowé, Bernard Manderick:
Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data. IntelliSys (1) 2016: 172-187 - [c2]Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren:
Genomic Variant Classifier Tool. IntelliSys (1) 2016: 453-456 - 2014
- [j4]Dewan Md. Farid, Li Zhang, Chowdhury Mofizur Rahman, M. Alamgir Hossain, Rebecca Strachan:
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks. Expert Syst. Appl. 41(4): 1937-1946 (2014) - [c1]M. Abdulla Al Mamun, Lorna Ravenhill, M. Alamgir Hossain, Dewan Md. Farid, Rosemary Bass:
Fractal and image analysis of cytoskeletal changes in tumour cells due to the effects of maspin. BHI 2014: 209-212 - 2013
- [j3]Li Zhang, Ming Jiang, Dewan Md. Farid, M. Alamgir Hossain:
Intelligent facial emotion recognition and semantic-based topic detection for a humanoid robot. Expert Syst. Appl. 40(13): 5160-5168 (2013) - [j2]Dewan Md. Farid, Li Zhang, M. Alamgir Hossain, Chowdhury Mofizur Rahman, Rebecca Strachan, Graham Sexton, Keshav P. Dahal:
An adaptive ensemble classifier for mining concept drifting data streams. Expert Syst. Appl. 40(15): 5895-5906 (2013) - 2010
- [j1]Dewan Md. Farid, Mohammad Zahidur Rahman:
Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm. J. Comput. 5(1): 23-31 (2010)
Coauthor Index
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