Cassava leaf disease classification using deep learning and convolutional neural network ensemble

Cassava leaf disease classification using deep learning and convolutional neural network ensemble

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

Opis bibliograficzny
Główni autorzy:	Shahriar, Hasan, Shuvo, Protick Sarker, Fahim, Md. Saidul Haque, Sordar, Md Sobuj, Haque, Md Esadul
Kolejni autorzy:	Chakrabarty, Amitabha
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2022
Hasła przedmiotowe:	Deep learning Cassava leaf Prediction Decision tree Xception Neural networks EfficientNet B0 Resnet 50 VGG16 Inception V3 DenseNet 121 Machine learning Cognitive learning theory (Deep learning) Neural networks (Computer science)
Dostęp online:	http://hdl.handle.net/10361/16633

Podobne zapisy

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

Diabetic retinopathy detection and classification by using deep learning
od: Hossain, Shahriar, i wsp.
Wydane: (2022)

Plant leaf disease identification
od: Hasan Mahin, Mohammad Rakibul, i wsp.
Wydane: (2024)

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

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

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

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

Corn leaf disease detection using deep convolution neural network
od: Rabbi, Rawhatur, i wsp.
Wydane: (2023)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, i wsp.
Wydane: (2022)

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

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
od: Promita, Samanta Tabassum, i wsp.
Wydane: (2022)

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

Gender classification in Bangla language using deep learning-based voice analysis
od: Hakim, Talukder Juhaer, i wsp.
Wydane: (2024)

Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
od: Tahamid, Abu
Wydane: (2021)

Classification of peripheral blood cell images using deep learning
od: Aadi, Oyshik Ahmed, i wsp.
Wydane: (2024)

Visual object classification from fMRI data
od: Newaz, Syed Mishar, i wsp.
Wydane: (2022)

Classification of different magnetic structures from image data using deep neural networks
od: Ibn Hasib, Fahad, i wsp.
Wydane: (2023)

Facial expression recognition: convolutional attentional masking network and ensemble approach
od: Kowsar, Ibna, i wsp.
Wydane: (2021)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
od: Khilji, Ishfaque Qamar, i wsp.
Wydane: (2021)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
od: Ashraf, S.M. Nabil, i wsp.
Wydane: (2021)

Deep Learning based Medicinal Plants Leaf Recognition
od: Mahalanabish, Tonusri
Wydane: (2023)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
od: Fiona, Driciru, i wsp.
Wydane: (2024)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i wsp.
Wydane: (2022)

Using deep learning algorithms to detect violent activities
od: Ammar, S.M. Rojin, i wsp.
Wydane: (2019)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
od: Sagor, Mostofa Kamal, i wsp.
Wydane: (2021)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
od: Reza, S. M. Mushfiq, i wsp.
Wydane: (2024)

A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
od: Bin Mushfiq, Rahil, i wsp.
Wydane: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
od: Datta, Nirjhor, i wsp.
Wydane: (2024)

Thoracic complication detection on chest X-rays using deep learning
od: Ratul, Rizwanul Hoque, i wsp.
Wydane: (2021)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
od: Ifty, Md. Hasin Sarwar, 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)

Intracranial hemorrhage detection using CNN-LSTM fusion model
od: Ahmed, Kazi sabab, i wsp.
Wydane: (2022)

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

An efficient ML approach to detect brain tumor using MRI images
od: Muktadir, MD. Arafat, i wsp.
Wydane: (2024)

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

Retinal Diseases Detection using Deep Learning
od: Mashfi, Shahriar, i wsp.
Wydane: (2023)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
od: Bhuiyan, Abir Ahammed, i wsp.
Wydane: (2024)

Analysis of uncertainty in different neural network structures using monte carlo dropout
od: Islam, Md. Farhadul, i wsp.
Wydane: (2024)

An efficient deep learning approach to detect skin cancer using image data
od: Chowdhury, Yaser Al Rahman, i wsp.
Wydane: (2023)