Plant disease detection using convolutional neural network

Plant disease detection using convolutional neural network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Opis bibliograficzny
Główni autorzy:	Hossain, Mohammad Shifat, Noor, Fatin Ishraq, Ali, Mir Ayman, Alam, Ra ul
Kolejni autorzy:	Hossain, Muhammad Iqbal
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2021
Hasła przedmiotowe:	Rice plant disease Detection Prediction ResNet- 152 Convolutional Neural Network Machine learning
Dostęp online:	http://hdl.handle.net/10361/14732

Podobne zapisy

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
od: Awwal, Alvina, i wsp.
Wydane: (2021)

Tomato leaf disease detection using convolutional neural network
od: Hasan, Md. Riazul, i wsp.
Wydane: (2023)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
od: Mashraf, Chowdhury Zerif, i wsp.
Wydane: (2021)

Bone age comparison using convolutional neural network
od: Nawaz, Fariha, i wsp.
Wydane: (2019)

Detection of skin cancer using Convolutional neural network
od: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, i wsp.
Wydane: (2020)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
od: Tasnim, Sadia, i wsp.
Wydane: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
od: Khisa, Pushpakali, i wsp.
Wydane: (2024)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
od: Rahman, Afridi Ibn, i wsp.
Wydane: (2022)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
od: Haque, Samiha, i wsp.
Wydane: (2021)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
od: Sarmi, Kaniz Fatima, i wsp.
Wydane: (2022)

Brain tumor segmentation from MRI images using convolutional neural networks
od: Khan, Mushfiqur Rahman
Wydane: (2024)

Detecting brain tumor using deep neural networks from MRI images
od: Imamuzzaman, A.S.M., i wsp.
Wydane: (2021)

Citrus leaf disease detection by image processing
od: Chowdhury, Mahir Faisal, i wsp.
Wydane: (2024)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
od: Choudhury, Prionto Kumar, i wsp.
Wydane: (2024)

Covid-19 infected lung detection using machine learning
od: Islam, Md. Muntaha, i wsp.
Wydane: (2022)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
od: Akhter, Nasrin
Wydane: (2023)

Early prediction of Alzheimer's disease using convolutional neural network
od: Abed, Mahjabeen Tamanna, i wsp.
Wydane: (2020)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
od: Ismail, Sayem Mohammad, i wsp.
Wydane: (2021)

Pneumonia Disease detection using the convolutional neural network
od: Ashrafee, Md. Iftid, i wsp.
Wydane: (2024)

Speech command classification based on deep neural networks
od: Hossain, Md. Sakib, i wsp.
Wydane: (2023)

Smoke detection using deep Convolutional neural network
od: Niloy, Wahidul Hasan, i wsp.
Wydane: (2021)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
od: Shahriar, Farhan, i wsp.
Wydane: (2021)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
od: Khan, Farhan Sakib, i wsp.
Wydane: (2022)

Brain tumor detection with convolutional neural network
od: Galib, Abrar Tahmid, i wsp.
Wydane: (2024)

Detection of coronary artery blockage at an early stage using effective deep learning technique
od: Promit, Tahmid Ashrafee, i wsp.
Wydane: (2023)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
od: Moon, Nowrin Tasnim, i wsp.
Wydane: (2023)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
od: Athina, Fahima Hasan, i wsp.
Wydane: (2022)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
od: Ferdous, Md.Rubaiat, i wsp.
Wydane: (2024)

Early detection of cervical cancer using deep neural networks
od: Akhund, Atoshi, i wsp.
Wydane: (2023)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
od: Ishrak, Gazi Hasin, i wsp.
Wydane: (2022)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
od: Reza, Jamil Ur, i wsp.
Wydane: (2023)

An Analysis on Bengali handwritten conjunct character recognition and prediction
od: Munawar, Maazin, i wsp.
Wydane: (2021)

Skin cancer classification for seven types of skin lesions
od: Rahman, Md. Tawsifur, i wsp.
Wydane: (2024)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
od: Shahriar, Hasan, i wsp.
Wydane: (2022)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
od: Haque, Abid Hossain, i wsp.
Wydane: (2024)

An Efficient deep learning approach to detect Brain Tumor using MRI images
od: Islam, Annur Tasnim, i wsp.
Wydane: (2022)

Violent activity detection through surveillance camera using deep learning
od: Miah, Parvez, i wsp.
Wydane: (2023)

Crime scene prediction by detecting threatening objects using convolutional neural network
od: Nakib, Mohammad, i wsp.
Wydane: (2017)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
od: Ali, Syed Muaz
Wydane: (2023)

Machine fault diagnosis using a modified transferable CNN
od: Shammi, Sanjana Khan
Wydane: (2024)