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.

Manylion Llyfryddiaeth
Prif Awdur:	Mahalanabish, Tonusri
Awduron Eraill:	Rabiul Alam, Md. Golam
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2023
Pynciau:	Deep Neural Network CNN VGG19 Machine Learning SVM HOG Feature GrayScale Feature Grad-CAM Cognitive learning theory (Deep learning)
Mynediad Ar-lein:	http://hdl.handle.net/10361/18032

Eitemau Tebyg

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An interpretable transformer based approach to classify Malaria from blood cell images
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Plant leaf disease identification
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Corn leaf disease detection using deep convolution neural network
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A comparative study of lung cancer prediction using deep learning
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Classification of retinal diseases from OCT images using deep learning models
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An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
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Document template identification and data extraction using machine learning and deep learning approach
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Classification of peripheral blood cell images using deep learning
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An efficient deep learning approach to detect skin Cancer
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Homomorphic encryption on deep learning in accurate prediction of brain tumour
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Prostate cancer detection using deep learning neural network with transfer learning approach
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Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
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An interpretable deep learning approach to detect Alzheimer using MRI images
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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
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A deep learning approach towards soft biometrics attributes prediction using CNN
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EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
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Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
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Predicting regional accents of Bengali language using deep learning
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Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
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Deep Learning based Bangla Voice to Braille Character Conversion System
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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
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A modern technique to detect potholes by Computer Vision and Deep Learning
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Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
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Cancer classification using deep learning from medical image data
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Yoga posture recognition using the deep learning process
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Predicting crime using deep learning
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Intracranial hemorrhage detection using CNN-LSTM fusion model
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Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
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Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
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An efficient deep learning approach to detect skin cancer using image data
gan: Chowdhury, Yaser Al Rahman, et al.
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Explainable breast cancer detection from Histopathology images using transfer learning and XAI
gan: Farabi, Farhan, et al.
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An efficient deep learning approach for detecting Alzheimer’s disease using brain images
gan: Sani, Mehedi Hasan, et al.
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Brain tumor detection with convolutional neural network
gan: Galib, Abrar Tahmid, et al.
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Application of deep learning in MRI classification of Schizophrenia
gan: Joyee, Ramisa Fariha, et al.
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Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
gan: Radiah, Faiza, et al.
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Diabetic retinopathy detection and classification by using deep learning
gan: Hossain, Shahriar, et al.
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