Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms

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

Dettagli Bibliografici
Autori principali:	Farhan, Rafid, Rahman, Ninad Abdur, Ahsan, Syeda Sara Ummy
Altri autori:	Rodoshi, Ahanaf Hassan
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Fish detection CNN model for classification YOLOv4 for detection Artificial Intelligence (AI) VGG-16 DenseNet Xception Artificial intelligence Neural networks (Computer science)
Accesso online:	http://hdl.handle.net/10361/23055

Documenti analoghi

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

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

Exploring Alzheimer's disease prediction with XAI in various neural network models
di: Rahman, Quazi Ashikur, et al.
Pubblicazione: (2022)

The impact of artificial intelligence on the financial sector
di: Siddiqui, Ria
Pubblicazione: (2024)

Real time performance analysis on DDoS attack detection using machine learning
di: Suvra, Debashis Kar, et al.
Pubblicazione: (2021)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
di: Rafat, Md. Tasbi, et al.
Pubblicazione: (2023)

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

The role of Artificial Intelligence (AI) in the detection and diagnosis of chronic diseases – a review
di: Zaman, Mumtahina
Pubblicazione: (2022)

Impact of artificial intelligence in closing the gender gap among women-led industries: a developing country perspective
di: Basir, S M
Pubblicazione: (2024)

Artificial intelligence: Essential to Successful Consumer Acquisition for the Consumer Electronics Goods Industry in Bangladesh. A study on Walton Hi Tech Industries Ltd.
di: Islam, MD. Wasib
Pubblicazione: (2023)

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

Making AI intelligible :
di: Cappelen, Herman

Artificial Intelligence : a new synthesis /
di: Nilsson, Nils J., 1933-
Pubblicazione: (1998)

Artificial intelligence /
di: Rich, Elaine
Pubblicazione: (1991)

Artificial intelligence : a modern approach /
di: Russell, Stuart J. (Stuart Jonathan)
Pubblicazione: (2003)

Introduction to artificial intelligence /
di: Charniak, Eugene
Pubblicazione: (1985)

Principles of artificial intelligence /
di: Nilsson, Nils J., 1933-
Pubblicazione: (1980)

Artificial intelligence /
di: Winston, Patrick Henry
Pubblicazione: (1992)

Artificial intelligence at MIT : expanding frontiers /
Pubblicazione: (1990)

Introduction to artificial intelligence /
di: Jackson, Philip C., 1949-
Pubblicazione: (1985)

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

An ambient assisted living system for Alzheimer’s patients
di: Abedin, Minhajul, et al.
Pubblicazione: (2023)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
di: Ferdous, Md.Rubaiat, et al.
Pubblicazione: (2024)

Implementing A.I based solutions to understand & predict consumer sentiment
di: Bin Ahmed, Omar
Pubblicazione: (2023)

Introduction to AI robotics /
di: Murphy, Robin, 1957-
Pubblicazione: (2000)

Intelligent systems and robotics /
Pubblicazione: (2000)

Artificial intelligence : a modern approach /
di: Russell, Stuart J. (Stuart Jonathan)
Pubblicazione: (2016)

Voice impersonation detection using LSTM based RNN and explainable AI
di: Barua, Kawshik, et al.
Pubblicazione: (2022)

Artificial intelligence in HR Management
di: Lamia, Ridwana Islam
Pubblicazione: (2023)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
di: Radiah, Faiza, et al.
Pubblicazione: (2024)

A deep learning based autonomous electric vehicle on unstructured road conditions
di: Adnan, Ashik, et al.
Pubblicazione: (2021)

XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
di: Rahman, Anika
Pubblicazione: (2024)

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

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
di: Shuhin, Syed Adiba, et al.
Pubblicazione: (2019)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
di: Rahman, Masroor, et al.
Pubblicazione: (2023)

Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments
di: Mahmud, Ishtiaque, et al.
Pubblicazione: (2024)

Bank loan prediction using machine learning
di: Mahottam, Parthosarothi, et al.
Pubblicazione: (2023)

Machine learning approach for ECG analysis and predicting different heart diseases
di: Tithi, Sushmita Roy, et al.
Pubblicazione: (2019)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
di: Shakil, Mahmudul Hasan
Pubblicazione: (2023)

Machine learning approach for improving decision support in ICU
di: Siddiquee, Mohib Billah, et al.
Pubblicazione: (2019)