Md. Nahiduzzaman
Orcid: 0000-0003-3837-6911
According to our database1,
Md. Nahiduzzaman
authored at least 28 papers
between 2020 and 2024.
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Bibliography
2024
Streamlining plant disease diagnosis with convolutional neural networks and edge devices.
Neural Comput. Appl., October, 2024
Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation.
Hum. Centric Intell. Syst., June, 2024
Development of an early detection and automatic targeting system for cotton weeds using an improved lightweight YOLOv8 architecture on an edge device.
Knowl. Based Syst., 2024
Embedded System-Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model.
Int. J. Imaging Syst. Technol., 2024
A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP).
Expert Syst. Appl., 2024
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI.
Expert Syst. Appl., 2024
Smart aquaponics: An innovative machine learning framework for fish farming optimization.
Comput. Electr. Eng., 2024
Comput. Biol. Medicine, 2024
IEEE Access, 2024
Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI.
IEEE Access, 2024
FASTEN: Towards a FAult-Tolerant and STorage EfficieNt Cloud: Balancing Between Replication and Deduplication.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
2023
A review on brain tumor segmentation based on deep learning methods with federated learning techniques.
Comput. Medical Imaging Graph., December, 2023
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19.
Expert Syst. Appl., November, 2023
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.
Sensors, September, 2023
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier.
Expert Syst. Appl., May, 2023
A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning.
Sensors, 2023
Portfolio optimization and valuation capability of multi-factor models: an observational evidence from Dhaka stock exchange.
Frontiers Appl. Math. Stat., 2023
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network.
Expert Syst. Appl., 2023
Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture.
IEEE Access, 2023
Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator.
IEEE Access, 2023
2022
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI.
Sensors, 2022
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images.
Sensors, 2022
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach.
Expert Syst. Appl., 2022
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images.
Comput. Biol. Medicine, 2022
An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control.
TCCE, 2022
2021
Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm.
IEEE Access, 2021
A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images.
IEEE Access, 2021
2020
Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion.
Proceedings of the Brain Informatics - 13th International Conference, 2020