Federated ensemble-learning for transport mode detection in vehicular edge network

Federated ensemble-learning for transport mode detection in vehicular edge network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Détails bibliographiques
Auteurs principaux:	Alam, MD. Mustakin, Ahmed, Tanjim, Hossain, Meraz, Emo, Mehedi Hasan, Islam Bidhan, Md. Kausar
Autres auteurs:	Rabiul Alam, Dr. Md. Golam
Format:	Thèse
Langue:	English
Publié:	Brac University 2023
Sujets:	Transport mode detection Artificial intelligence Internet of things Intelligent transportation system Vehicular edge network Deep learning Federated learning Federated ensemble-learning Decentralized Majority voting XG Boost Random forest Multi-layer perceptron Wireless communication systems.
Accès en ligne:	http://hdl.handle.net/10361/20229

Documents similaires

Blockchain-based edge computing for medical data storage & processing using federated learning
par: Faiyaz, Fazle Rabbi, et autres
Publié: (2021)

A secured federated learning system leveraging confidence score to identify retinal disease
par: Eshan, M Sakib Osman, et autres
Publié: (2023)

Personalization in federated recommendation system using SVD++ with explainability
par: Patwary, Kabbya Kantam, et autres
Publié: (2022)

LSTM based content prediction for edge caching using federated learning approach
par: Mazumder, Shafkat Ahmed, et autres
Publié: (2021)

A deep learning approach for prediction of ADHD using brain structure
par: Siam, Shafin Ahad, et autres
Publié: (2024)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
par: Shawan, Naveed Rahman, et autres
Publié: (2019)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
par: Mubin, Kazi Ehsanul, et autres
Publié: (2022)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
par: Khan, Labib Hasan, et autres
Publié: (2023)

Analysis on dengue severity using machine learning approach
par: Sayeed, Sanjana, et autres
Publié: (2021)

Fortifying federated learning: security against model poisoning attacks
par: Anan, Fabiha, et autres
Publié: (2024)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
par: Biswas, Sunanda, et autres
Publié: (2022)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
par: Rahman, Tahsinur, et autres
Publié: (2023)

Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
par: Alam, Salman, et autres
Publié: (2023)

A semi-supervised federated learning approach leveraging pseudo-labeling for Knee Osteoarthritis severity detection
par: Rifat, Rakib Hossain
Publié: (2024)

Explainable artificial intelligence and model calibration for water quality prediction
par: Hellen, Nakayiza
Publié: (2022)

Demystifying machine learning models for IOT attack detection with explainable AI
par: Muna, Rabeya Khatun, et autres
Publié: (2021)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
par: Rafat, Md. Tasbi, et autres
Publié: (2023)

Medical image reader powered by artificial intelligence
par: Palok, Tanvir Ahmed, et autres
Publié: (2024)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
par: Ghosh, Kawshik Kumar, et autres
Publié: (2023)

Alumni opportunities using machine learning
par: Siaum, Arshif Sharlimin, et autres
Publié: (2019)

Machine learning approach for improving decision support in ICU
par: Siddiquee, Mohib Billah, et autres
Publié: (2019)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
par: Mim, Ankhi Akter, et autres
Publié: (2024)

Microfinance in Russia : broadening access to finance for micro and small entrepreneurs /
par: Bossoutrot, Sylvie K., 1969-
Publié: (2005)

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
par: Chowdhury, Asif Hasan, et autres
Publié: (2023)

A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning
par: Anjum, Afra Antara, et autres
Publié: (2022)

Analyzing the security of e-Health data based on a hybrid federated learning model
par: Shafin, Md. Mehtabul Islam, et autres
Publié: (2023)

Predicting climate induced floods using machine learning
par: Saleh, Chowdhury Nafis, et autres
Publié: (2022)

Yoga posture recognition using the deep learning process
par: Islam, Abidul, et autres
Publié: (2023)

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
par: Hossain, Shoumik, et autres
Publié: (2022)

Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
par: Roy, Aditya, et autres
Publié: (2023)

Implementation of diffusion model in realistic face generation
par: Rahman, Abidur, et autres
Publié: (2024)

Stock market prediction using ensemble learning
par: Rabbani, Rakin Bin, et autres
Publié: (2021)

Implementation of dynamic vehicular rerouting, vehicular safety and pollution reduction techniques using VANET
par: Arnab, Sandipan Paul, et autres
Publié: (2018)

Exploring machine learning techniques for symptom-based detection of livestock diseases
par: Niloy, Mahir Ahmed, et autres
Publié: (2024)

X-Ray classification to detect COVID-19 using ensemble model
par: Solaiman, Ishmam Ahmed, et autres
Publié: (2021)

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
par: Hassan, Ibne, et autres
Publié: (2023)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
par: Chowdhury, Asif Hasan, et autres
Publié: (2023)

Intelligent parking system using machine learning
par: Abrar, Md. Ishtiak, et autres
Publié: (2023)

Application of machine learning in credit risk assessment: a prelude to smart banking
par: Dhruba, Mir Ishrak Maheer, et autres
Publié: (2019)

A GAN-based federated learning architecture for data augmentation of medical images
par: Al Rakin, Abdullah, et autres
Publié: (2023)