Enhancing underwater object detection through water artifact removal and using ensemble transfer learning

Enhancing underwater object detection through water artifact removal and using ensemble transfer learning

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

Bibliographische Detailangaben
Hauptverfasser:	Saikat, Nayem Hossain, Jahan, Sarowar, Abrar, Fahim, Rahman, Md. Motaqabbir, Rahman, Md. Ashikur
Weitere Verfasser:	Alam, Md. Golam Rabiul
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	Domain generalization Object detection Decision tree Water artifact removal Transfer learning Machine learning Cognitive learning theory
Online Zugang:	http://hdl.handle.net/10361/22189

Ähnliche Einträge

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
von: Khan, Ibrahim
Veröffentlicht: (2023)

Real time heart rate estimation from severely corrupted PPG signal by motion artifact
von: Imtiaz, Mohammad Masuk, et al.
Veröffentlicht: (2017)

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

Chronic kidney disease detection using ensemble classi ers and feature set reduction
von: Shawan, Naveed Rahman, et al.
Veröffentlicht: (2019)

Application of CNN based architectures in detection of distracted drivers
von: Arafin, Irfana, et al.
Veröffentlicht: (2023)

Generation of realistic images from human drawn sketches using deep learning
von: Mahbub, Mohammed Julfikar Ali, et al.
Veröffentlicht: (2022)

Facial expression recognition: convolutional attentional masking network and ensemble approach
von: Kowsar, Ibna, et al.
Veröffentlicht: (2021)

Flood prediction using ensemble machine learning models
von: Rahman, Tanvir
Veröffentlicht: (2024)

Assessing the effectiveness of the Shapla arsenic removal filter
von: Jakariya, Md., et al.
Veröffentlicht: (2019)

Removing rebar without notice
von: BUCG-ABC Joint Venture (BUCG-ABC JV)
Veröffentlicht: (2023)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
von: Sagor, Mostofa Kamal, et al.
Veröffentlicht: (2021)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
von: Hasan, Kamrul, et al.
Veröffentlicht: (2018)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
von: Tasnim, Anika, et al.
Veröffentlicht: (2022)

Real-time driving monitoring system on a single-board computer utilizing deep neural networks integrated with MiDAS
von: Kaisar, Sazeed, et al.
Veröffentlicht: (2024)

Prostate cancer detection using deep learning neural network with transfer learning approach
von: Badhon, Ariful Islam Mahmud, et al.
Veröffentlicht: (2022)

Machine learning based data processing and latency reduction in the internet of things for agriculture
von: Rahman, Sajeed Ur, et al.
Veröffentlicht: (2019)

Removal of rebar stacked at the west of the engineer office
von: BUCG-ABC Joint Venture (BUCG-ABC JV)
Veröffentlicht: (2023)

A counseling system to predict the study path for freshmen
von: Usha, Rowshni Tasneem, et al.
Veröffentlicht: (2019)

Machine learning for stress prediction
von: Salehin, Sherajus, et al.
Veröffentlicht: (2023)

Transfer learning for natural language processing /
von: Azunre, Paul
Veröffentlicht: (2021)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
von: Khan, Labib Hasan, et al.
Veröffentlicht: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
von: Rahee, Arnob, et al.
Veröffentlicht: (2021)

Application of machine learning techniques on the context of livestock analysis
von: Islam, Md. Shajedul, et al.
Veröffentlicht: (2018)

Micro-learning modules are linked to enhanced retention of the learners and can be geared toward subconscious knowledge acquisition in an organization
von: Siddique, Noman
Veröffentlicht: (2024)

Development of learning process perceived by the students of the pharmacy department of different universities in Bangladesh
von: Rahman, Sharjana
Veröffentlicht: (2019)

How we learn and why we don't : student survival guide using the cognitive profile inventory /
von: Krause, Lois Breur
Veröffentlicht: (2008)

A review of Computer Assisted Language Learning (CALL): how context based modifications of CALL enhances learning efficiency
von: Rafi, Md. Sadman
Veröffentlicht: (2018)

A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning
von: Anjum, Afra Antara, et al.
Veröffentlicht: (2022)

Assessing the interspecies and intraspecies diversity of Cas1 and Cas3 proteins of the CRISPR-Cas system in vibrio cholera and Escherichia coli strains
von: Tabassum, Tahani, et al.
Veröffentlicht: (2022)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
von: Morshed, Atique, et al.
Veröffentlicht: (2021)

Federated ensemble-learning for transport mode detection in vehicular edge network
von: Alam, MD. Mustakin, et al.
Veröffentlicht: (2023)

Fighting depression: psychological approaches among Bangladeshi university students
von: Sen, Sanjib Kumar, et al.
Veröffentlicht: (2022)

Notice for additional works of steel sheath removal for one foundation pile
von: BUCG-ABC Joint Venture (BUCG-ABC JV)
Veröffentlicht: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
von: Farabi, Farhan, et al.
Veröffentlicht: (2023)

A hybrid rumor detection model derived from a comparative study of supervised approaches
von: Aothoi, Mehzabin Sadat, et al.
Veröffentlicht: (2023)

Text classification using machine learning algorithms
von: Hasnat, Fahim, et al.
Veröffentlicht: (2018)

A domain and noise adversarial bird tune classification pipeline using deep neural network
von: Riya, Aparna Sarker, et al.
Veröffentlicht: (2023)

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
von: Hassan, Ibne, et al.
Veröffentlicht: (2023)

Detecting online recruitment fraud by using machine learning
von: Ghosh, Gitanjali, et al.
Veröffentlicht: (2021)

Development of mobile learning system based on android app
von: Samrin, Sama, et al.
Veröffentlicht: (2018)