An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy

An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2024.

Xehetasun bibliografikoak
Egile nagusia:	Hasan, Nahid
Beste egile batzuk:	Alam, Md. Golam Rabiul
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Federated learning Unsupervised learning Auto-encoder Fusion strategy Multisensor data fusion. Electronic data processing > Distributed processing. Neural networks (Computer science). Data mining
Sarrera elektronikoa:	http://hdl.handle.net/10361/24039

Antzeko izenburuak

Fusion : an introduction to the physics and technology of magnetic confinement fusion /
nork: Stacey, Weston M.
Argitaratua: (2010)

Fusion energy /
nork: Gross, Robert A., 1927-
Argitaratua: (1984)

Creolizing Europe :

An advanced data fabric architecture leveraging homomorphic encryption and federated learning
nork: Rieyan, Sakib Anwar, et al.
Argitaratua: (2023)

Integration of data clustering to intelligent email classifier
nork: Zisan, Shahriar Ahmed
Argitaratua: (2019)

Detection of fake identities on twitter using supervised machine learning
nork: Rahman, MD. Takiur, et al.
Argitaratua: (2019)

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
nork: Raizan, Syed Ahsan, et al.
Argitaratua: (2021)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
nork: Rabbi, Md. Nafis
Argitaratua: (2024)

A secured federated learning system leveraging confidence score to identify retinal disease
nork: Eshan, M Sakib Osman, et al.
Argitaratua: (2023)

Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
nork: Rafi, Ahmad Abdur, et al.
Argitaratua: (2023)

Predicting depression in Bangladeshi undergraduates using machine learning
nork: Choudhury, Ahnaf Atef, et al.
Argitaratua: (2019)

Ray Tracing and Beyond
nork: E. R. Tracy, A. J. Brizard, A. S. Richardson, A. N. Kaufman
Argitaratua: (2014)

Physics of Radio-Frequency Plasmas
nork: Pascal Chabert, Nicholas Braithwaite
Argitaratua: (2011)

Graph data mining-based community clustering for gender-biased community detection of social media
nork: Dev, Sanjoy, et al.
Argitaratua: (2023)

Analysis on dengue severity using machine learning approach
nork: Sayeed, Sanjana, et al.
Argitaratua: (2021)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
nork: Sakib, Hasibul, et al.
Argitaratua: (2024)

Data mining : practical machine learning tools and techniques /
nork: Witten, I. H. (Ian H.)
Argitaratua: (2005)

Data mining : a tutorial-based primer /
nork: Roiger, Richard
Argitaratua: (2003)

Introduction to data mining /
nork: Tan, Pang-Ning
Argitaratua: (2006)

Data mining : practical machine learning tools and techniques /
nork: Witten, I. H. (Ian H.)
Argitaratua: (2011)

Data mining introductory and advanced topics /
nork: Dunham, Margaret H.
Argitaratua: (2003)

Data mining methods and models /
nork: Larose, Daniel T.
Argitaratua: (2006)

Discovering knowledge in data : an introduction to data mining /
nork: Larose, Daniel T.
Argitaratua: (2005)

Data mining introductory and advanced topics /
nork: Dunham, Margaret H.
Argitaratua: (2003)

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
nork: Mahmud, Shakib Izaz, et al.
Argitaratua: (2022)

Education content provider based on particular weaknesses of students: a unsupervised machine learning appro
nork: Rahman, Shabab Intishar, et al.
Argitaratua: (2024)

Enhancing Bangla video comprehension through multimodal feature integration and attention-based encoder-decoder captioning models for single-action videos
nork: Das, Saurav, et al.
Argitaratua: (2024)

Modern data warehousing, mining, and visualization : core concepts /
nork: Marakas, George M.
Argitaratua: (2003)

Weather forecasting using Deep Learning
nork: Fahad, Sheikh Abdul, et al.
Argitaratua: (2023)

An implementation and analysis of deep learning models for the detection of wheat diseases
nork: Zubair, Ahmad, et al.
Argitaratua: (2024)

Data mining techniques : for marketing, sales, and customer relationship management /
nork: Berry, Michael J. A.
Argitaratua: (2004)

Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness
nork: Sabit, Ahmed Bin, et al.
Argitaratua: (2021)

Data and Text Mining : a business applications approach, /
nork: Miller,Thomas W.
Argitaratua: (2005)

Aspect based opinion mining on restaurant reviews
nork: Tonmoy, Sazid Hasan, et al.
Argitaratua: (2024)

Mobility Data
nork: Edited by Chiara Renso, Stefano Spaccapietra, Esteban Zimányi
Argitaratua: (2013)

Head first data analysis /
nork: Milton, Michael, 1978-
Argitaratua: (2009)

A machine learning approach to detect depression and anxiety using supervised learning
nork: Ullas, Md Tahmidur Rahman, et al.
Argitaratua: (2019)

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

Handbook of statistical analysis and data mining applications /
nork: Nisbet, Robert
Argitaratua: (2009)

Data analysis with open source tools /
nork: Janert,Philipp K.
Argitaratua: (2010)