A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN

Toon andere (1) versies

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografische gegevens
Hoofdauteurs:	Chowdhury, Asif Hasan, Islam, Md. Fahim, Riad, M Ragib Anjum, Hashem, Faiyaz Bin
Andere auteurs:	Alam, Md. Golam Rabiul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2023
Onderwerpen:	AI VGG19 Inception V3 DenseNet201 SWIN transformer Feder- ated learning Biomedical engineering Neural networks (Computer science)
Online toegang:	http://hdl.handle.net/10361/21844

Gelijkaardige items

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
door: Chowdhury, Asif Hasan, et al.
Gepubliceerd in: (2023)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
door: Ismail, Sayem Mohammad, et al.
Gepubliceerd in: (2021)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
door: Haque, Abid Hossain, et al.
Gepubliceerd in: (2024)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
door: Shahriar, Hasan, et al.
Gepubliceerd in: (2022)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
door: Farhan, Rafid, et al.
Gepubliceerd in: (2024)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
door: Mim, Ankhi Akter, et al.
Gepubliceerd in: (2024)

Diabetic retinopathy detection and classification by using deep learning
door: Hossain, Shahriar, et al.
Gepubliceerd in: (2022)

A deep learning approach towards soft biometrics attributes prediction using CNN
door: Kibria, Maharab, et al.
Gepubliceerd in: (2022)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
door: Nazmee, Namirah, et al.
Gepubliceerd in: (2024)

Citrus leaf disease detection by image processing
door: Chowdhury, Mahir Faisal, et al.
Gepubliceerd in: (2024)

Thoracic complication detection on chest X-rays using deep learning
door: Ratul, Rizwanul Hoque, et al.
Gepubliceerd in: (2021)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
door: Rahman, Afridi Ibn, et al.
Gepubliceerd in: (2022)

Detection of coronary artery blockage at an early stage using effective deep learning technique
door: Promit, Tahmid Ashrafee, et al.
Gepubliceerd in: (2023)

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
door: Nahar, Jannatun, et al.
Gepubliceerd in: (2022)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
door: Khan, Farhan Sakib, et al.
Gepubliceerd in: (2022)

Gender classification in Bangla language using deep learning-based voice analysis
door: Hakim, Talukder Juhaer, et al.
Gepubliceerd in: (2024)

An interpretable deep learning approach to detect Alzheimer using MRI images
door: Oni, Farhan Anzum, et al.
Gepubliceerd in: (2023)

Personalization in federated recommendation system using SVD++ with explainability
door: Patwary, Kabbya Kantam, et al.
Gepubliceerd in: (2022)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
door: Niaz, H.M, et al.
Gepubliceerd in: (2024)

Skin lesion classification using different CNN models
door: Oli, Md. Yahea Sultan
Gepubliceerd in: (2023)

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
door: Esha, Ishraq Ahmed, et al.
Gepubliceerd in: (2023)

DenseNet based skin lesion classification and melanoma detection
door: Munaf, Arifuzzaman, et al.
Gepubliceerd in: (2021)

Identifying brain abnormalities using image processing and CNN models
door: Talukder, Ismat Shehrin, et al.
Gepubliceerd in: (2021)

Advanced artificial intelligence self balanced robot for home security
door: Shourove, MD. Niaz Sharif, et al.
Gepubliceerd in: (2018)

Semantic segmentation with attention dense U-net for lung extraction from X-ray images
door: Auvy, Akib Al Mahmud, et al.
Gepubliceerd in: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
door: Khisa, Pushpakali, et al.
Gepubliceerd in: (2024)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
door: Nivrito, AKM, et al.
Gepubliceerd in: (2016)

Covid-19 infected lung detection using machine learning
door: Islam, Md. Muntaha, et al.
Gepubliceerd in: (2022)

The Salome Ensemble
door: Ginsberg

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
door: Nag, Pollock, et al.
Gepubliceerd in: (2023)

Destin Log, The (FL)

Hernando Today (FL)

Highlands Today (FL)

Ledger, The (Lakeland, FL)

Suwannee Democrat (FL)

Tampa Tribune (FL)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
door: Akhter, Nasrin
Gepubliceerd in: (2023)

A comparative study of lung cancer prediction using deep learning
door: Mugdho, Aka Mohammad, et al.
Gepubliceerd in: (2023)

Boca Raton News (FL)

Ocala Star-Banner (FL)