Classification of different magnetic structures from image data using deep neural networks

Classification of different magnetic structures from image data using deep neural networks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2021.

Bibliographic Details
Main Authors:	Ibn Hasib, Fahad, Swarna, Nakiba Farhana
Other Authors:	Alam, Dr. Md. Ashraful
Format:	Thesis
Language:	English
Published:	Brac University 2023
Subjects:	Deep Neural Network Magnetic structure Image classification Machine learning Res-Net Neural networks (Computer science)
Online Access:	http://hdl.handle.net/10361/18737

Similar Items

Speech command classification based on deep neural networks
by: Hossain, Md. Sakib, et al.
Published: (2023)

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

Early detection of cervical cancer using deep neural networks
by: Akhund, Atoshi, et al.
Published: (2023)

Segmentation based Kidney Tumor Classification using Deep Neural Network
by: Mehedi, Md Humaion Kabir, et al.
Published: (2022)

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

An Efficient deep learning approach to detect Brain Tumor using MRI images
by: Islam, Annur Tasnim, et al.
Published: (2022)

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

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
by: Khisa, Pushpakali, et al.
Published: (2024)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
by: Rahman, Afridi Ibn, et al.
Published: (2022)

An efficient ML approach to detect brain tumor using MRI images
by: Muktadir, MD. Arafat, et al.
Published: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
by: Sakir, Adnan, et al.
Published: (2023)

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

Obscure face recognition using deep neural networks
by: Akash, MD Shahadat Hossain, et al.
Published: (2023)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
by: Awwal, Alvina, et al.
Published: (2021)

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

Bone age comparison using convolutional neural network
by: Nawaz, Fariha, et al.
Published: (2019)

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

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

Bangali Handwritten characters classification using Deep Convolutional Neural Network
by: Sikder, Shihab Uddin, et al.
Published: (2022)

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

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
by: Shahriar, Farhan, et al.
Published: (2021)

Diabetic retinopathy detection and classification by using deep learning
by: Hossain, Shahriar, et al.
Published: (2022)

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

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

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
by: Mubin, Kazi Ehsanul, et al.
Published: (2022)

An efficient approach for recyclable waste detection and classification using image processing techniques
by: Chowdhury, Prabal Kumar, et al.
Published: (2024)

Analysis of uncertainty in different neural network structures using monte carlo dropout
by: Islam, Md. Farhadul, et al.
Published: (2024)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
by: Hossain, Shah Md. Shakhawath, et al.
Published: (2024)

Covid-19 infected lung detection using machine learning
by: Islam, Md. Muntaha, et al.
Published: (2022)

Exploring deep features: deeper fully convolutional neural network for image segmentation
by: Kamran, Sharif Amit, et al.
Published: (2017)

Early prediction of Alzheimer's disease using convolutional neural network
by: Abed, Mahjabeen Tamanna, et al.
Published: (2020)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
by: Mahbub, Riasat, et al.
Published: (2022)

Classification of Bangladeshi soil texture using convolutional neural network
by: Raj, Hafiz Mohiuddin, et al.
Published: (2023)

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

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
by: Haque, Samiha, et al.
Published: (2021)

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

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
by: Reza, Jamil Ur, et al.
Published: (2023)

An Analysis on Bengali handwritten conjunct character recognition and prediction
by: Munawar, Maazin, et al.
Published: (2021)

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

Pneumonia Disease detection using the convolutional neural network
by: Ashrafee, Md. Iftid, et al.
Published: (2024)