Dewan Md. Farid

Orcid: 0000-0002-6413-4898

Affiliations:
  • United International University, Department of Computer Science and Engineering, Dhaka, Bangladesh


According to our database1, Dewan Md. Farid authored at least 28 papers between 2010 and 2025.

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Bibliography

2025
Bangladeshi Vehicle Classification and Detection Using Deep Convolutional Neural Networks With Transfer Learning.
IEEE Access, 2025

2024
Attention Based Feature Fusion Network for Monkeypox Skin Lesion Detection.
CoRR, 2024

Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation.
CoRR, 2024

An Adaptive Feature Selection Algorithm for Student Performance Prediction.
IEEE Access, 2024

2023
A Privacy-Preserving Approach for Big Data Mining Using RainForest with Federated Learning.
Proceedings of the IEEE Region 10 Conference, 2023

Exploring Federated Learning with Naïve Bayes using AVC Information.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Real-Time Face Recognition with Mask using Deep Convolutional Neural Network.
Proceedings of the 2023 4th International Conference on Computing, 2023

2022
Emotion Detection for Children on the Autism Spectrum using BCI and Web Technology.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Meta-Learning in Supervised Machine Learning.
Proceedings of the 14th International Conference on Software, 2022

Agriculture 4.0 in Bangladesh: Issues and Challenges.
Proceedings of the 14th International Conference on Software, 2022

Attention-Based Scene Graph Generation: A Review.
Proceedings of the 14th International Conference on Software, 2022

The Impact of Data Locality on the Performance of Cluster-Based Under-Sampling.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

2019
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences.
Bioinform., 2019

Big Data with Decision Tree Induction.
Proceedings of the 13th International Conference on Software, 2019

An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification.
Proceedings of the 13th International Conference on Software, 2019

2018
A quantitative image analysis for the cellular cytoskeleton during in vitro tumor growth.
Expert Syst. Appl., 2018

iRecSpot-EF: Effective sequence based features for recombination hotspot prediction.
Comput. Biol. Medicine, 2018

Brain-Machine Interface for Developing Virtual-Ball Movement Controlling Game.
Proceedings of International Joint Conference on Computational Intelligence, 2018

2017
MEBoost: Mixing estimators with boosting for imbalanced data classification.
Proceedings of the 11th International Conference on Software, 2017

Cluster-based under-sampling with random forest for multi-class imbalanced classification.
Proceedings of the 11th International Conference on Software, 2017

2016
An adaptive rule-based classifier for mining big biological data.
Expert Syst. Appl., 2016

Genomic Variant Classifier Tool.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

2014
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks.
Expert Syst. Appl., 2014

Fractal and image analysis of cytoskeletal changes in tumour cells due to the effects of maspin.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Intelligent facial emotion recognition and semantic-based topic detection for a humanoid robot.
Expert Syst. Appl., 2013

An adaptive ensemble classifier for mining concept drifting data streams.
Expert Syst. Appl., 2013

2010
Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm.
J. Comput., 2010


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