Deep Learning based Medicinal Plants Leaf Recognition

Deep Learning based Medicinal Plants Leaf Recognition

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

Bibliographic Details
Main Author:	Mahalanabish, Tonusri
Other Authors:	Rabiul Alam, Md. Golam
Format:	Thesis
Language:	English
Published:	Brac University 2023
Subjects:	Deep Neural Network CNN VGG19 Machine Learning SVM HOG Feature GrayScale Feature Grad-CAM Cognitive learning theory (Deep learning)
Online Access:	http://hdl.handle.net/10361/18032

Similar Items

Deep learning-based waste classification system for efficient waste management
by: Nakib, Abdullah Al, et al.
Published: (2022)

An interpretable transformer based approach to classify Malaria from blood cell images
by: Islam, Mehafuza, et al.
Published: (2023)

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

Corn leaf disease detection using deep convolution neural network
by: Rabbi, Rawhatur, et al.
Published: (2023)

Violent activity detection through surveillance camera using deep learning
by: Miah, Parvez, et al.
Published: (2023)

Visual object classification from fMRI data
by: Newaz, Syed Mishar, et al.
Published: (2022)

Classification of retinal diseases from OCT images using deep learning models
by: Mokarrom, Md Saif, et al.
Published: (2024)

A comparative study of lung cancer prediction using deep learning
by: Mugdho, Aka Mohammad, et al.
Published: (2023)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
by: Bhuiyan, Mahdi Hasan, et al.
Published: (2024)

Document template identification and data extraction using machine learning and deep learning approach
by: Roy, Kaushik, et al.
Published: (2024)

Classification of peripheral blood cell images using deep learning
by: Aadi, Oyshik Ahmed, et al.
Published: (2024)

Silent voice: harnessing deep learning for lip-reading in Bangla
by: Shaheen, Munia, et al.
Published: (2024)

An efficient deep learning approach to detect skin Cancer
by: Islam, Ashfaqul, et al.
Published: (2022)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
by: Sarwar, Arafat, et al.
Published: (2023)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
by: Promita, Samanta Tabassum, et al.
Published: (2022)

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

An interpretable deep learning approach to detect Alzheimer using MRI images
by: Oni, Farhan Anzum, et al.
Published: (2023)

A deep learning approach towards soft biometrics attributes prediction using CNN
by: Kibria, Maharab, et al.
Published: (2022)

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

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

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
by: Datta, Nirjhor, et al.
Published: (2024)

Predicting regional accents of Bengali language using deep learning
by: Ibrahim, Md. Abu, et al.
Published: (2022)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
by: Ahasan, Md. Mubtasim, et al.
Published: (2022)

Deep Learning based Bangla Voice to Braille Character Conversion System
by: Iqbal, Syed Bayes, et al.
Published: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
by: Hasan, M. M. Kamrul, et al.
Published: (2022)

A modern technique to detect potholes by Computer Vision and Deep Learning
by: Saif, Muntasir Mahmud, et al.
Published: (2023)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
by: Fiona, Driciru, et al.
Published: (2024)

Cancer classification using deep learning from medical image data
by: Monir, Raiyan Janik, et al.
Published: (2022)

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

Predicting crime using deep learning
by: Shihab, Muhammad Nafees, et al.
Published: (2024)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
by: Tasnim, Sadia, et al.
Published: (2023)

Yoga posture recognition using the deep learning process
by: Islam, Abidul, et al.
Published: (2023)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
by: Choudhury, Prionto Kumar, et al.
Published: (2024)

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

An efficient deep learning approach to detect skin cancer using image data
by: Chowdhury, Yaser Al Rahman, et al.
Published: (2023)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
by: Sani, Mehedi Hasan, et al.
Published: (2022)

Brain tumor detection with convolutional neural network
by: Galib, Abrar Tahmid, et al.
Published: (2024)

Application of deep learning in MRI classification of Schizophrenia
by: Joyee, Ramisa Fariha, et al.
Published: (2024)

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

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