Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification

Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification

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

Dettagli Bibliografici
Autori principali:	Labiba, Zaima, Heram, Afrin A, Hossain, Md.Muhtasim, Alam, Sharia, Shakal, Binita Khan
Altri autori:	Chakrabarty, Amitabha
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Mango leaf classification Mango variations Convolutional neural network Vision transformer Data mining Neural networks (Computer science)
Accesso online:	http://hdl.handle.net/10361/23586

Documenti analoghi

আম /
di: সিদ্দিকী, মাহবুব

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

Studies on physico-chemical and microbiological qualities of some selected brand of mango fruit juice of Bangladesh
di: Amin, Md. Ruhul
Pubblicazione: (2016)

Disease detection system of mango leaves
di: Islam, Sabrina, et al.
Pubblicazione: (2024)

Plant leaf disease identification
di: Hasan Mahin, Mohammad Rakibul, et al.
Pubblicazione: (2024)

Quantitative determination of artificial sweeteners and sucrose in energy drinks and mango juice available in Dhaka city by UV-Spectrophotometric method
di: Kanon, Kabirul Islam
Pubblicazione: (2018)

Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
di: Khan, Shama, et al.
Pubblicazione: (2024)

Leaf classification by feature extraction using CNN
di: Bhuiyan, Md. Mazharul Islam, et al.
Pubblicazione: (2020)

Tomato leaf disease detection using convolutional neural network
di: Hasan, Md. Riazul, et al.
Pubblicazione: (2023)

Investigation of In-vivoantidiarrhoeal and insecticidal activity of Trewianudijlora leaf extract
di: Duyti, Sayeza Yeara
Pubblicazione: (2017)

A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
di: Raj, Mohammad Mainuddin, et al.
Pubblicazione: (2021)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
di: Moon, Nowrin Tasnim, et al.
Pubblicazione: (2023)

A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
di: Faisal, Asm, et al.
Pubblicazione: (2024)

A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
di: Gomes, Paul Richie, et al.
Pubblicazione: (2021)

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

Bangla license plate recognition using convolutional neural networks (CNN)
di: Rahman, M M Shaifur
Pubblicazione: (2018)

The livelihood dependency of Khasia community on betel leaf cultivation at Lawachara National park, Moulavibazar
di: Riadh, Sayeed Mahmud
Pubblicazione: (2010)

Characterization of phytoconstituents and potential bioactivity of Annona reticulata L. leaf extract
di: Shahriar, Mohammad, et al.
Pubblicazione: (2016)

Phytochemical screening and investigation of in-vitro antioxidant and antibacterial activity of leea aequata leaf extract
di: Islam, Sabrina
Pubblicazione: (2018)

Malware detection in blockchain using CNN
di: Alam, Afreen, et al.
Pubblicazione: (2021)

Vehicle model identification using neural network approaches
di: Mojumder, Uttam, et al.
Pubblicazione: (2017)

Image classification using deep neural network for efficient identification of traffic sign
di: Saha, Sourajit
Pubblicazione: (2018)

KDANet: optical recognition for Bangla language using deep neural networks
di: Rabbi, Kazi Kamruzzaman, et al.
Pubblicazione: (2023)

Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
di: Rahman, Fardin, et al.
Pubblicazione: (2024)

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

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
di: Iqbal, Shahriar, et al.
Pubblicazione: (2023)

Identification of childhood leukemia using deep learning
di: Tultul, Farana Naz
Pubblicazione: (2018)

Smoke detection using deep Convolutional neural network
di: Niloy, Wahidul Hasan, et al.
Pubblicazione: (2021)

Semantic text extraction from CAPTCHA using Neural Networking
di: Chowdhury, Iftekhar Kabir, et al.
Pubblicazione: (2022)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
di: Rahman, Rafeed, et al.
Pubblicazione: (2021)

PlantGuard: intelligent plant disease detection
di: Khanom, Nazifa
Pubblicazione: (2024)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
di: Bhuiyan, Abir Ahammed, et al.
Pubblicazione: (2024)

Intracranial hemorrhage detection using CNN-LSTM fusion model
di: Ahmed, Kazi sabab, et al.
Pubblicazione: (2022)

An enhanced CNN model for classifying skin cancer
di: Haider, Kazi MD Minhajul, et al.
Pubblicazione: (2022)

A comparative analysis of the different CNN-LSTM model caption generation of medical images
di: Amin, Mahzabin Yasmin Binte, et al.
Pubblicazione: (2023)

Efficient image processing and machine learning approach for predicting retinal diseases
di: Hasib, Mehadi Hasan, et al.
Pubblicazione: (2021)

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)

A Proposed novel approach to face recognition using CNN
di: Mahmud, Asif
Pubblicazione: (2024)

An introduction to neural networks /
di: Anderson, James A.
Pubblicazione: (1995)

Modelling option prices using neural networks
di: Nasim, Ahmed Zohair, et al.
Pubblicazione: (2020)