Visual object classification from fMRI data

Visual object classification from fMRI data

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

Xehetasun bibliografikoak
Egile Nagusiak:	Newaz, Syed Mishar, Taseeb, Taslim Ahmed, Haque, Abdullah Nurul
Beste egile batzuk:	Zavid Parvez, Mohammad
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	Functional MRI Visual features Convolutional neural network Deep learning Cognitive learning theory (Deep learning) Machine learning Neural networks (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/16779

Antzeko izenburuak

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

Visual object recognition using deep convolutional neural network
nork: Ahmed, Sabbir
Argitaratua: (2017)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
nork: Ashraf, S.M. Nabil, et al.
Argitaratua: (2021)

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

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

Brain image fMRI data classification and graphical representation of visual object
nork: Tasneem, Nazifa Afroza, et al.
Argitaratua: (2019)

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

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

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

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

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

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
nork: Reza, S. M. Mushfiq, et al.
Argitaratua: (2024)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
nork: Bhuiyan, Abir Ahammed, et al.
Argitaratua: (2024)

Bang-lish sentiment classification using deep learning
nork: Saleheen, Abrar, et al.
Argitaratua: (2023)

Deep Learning based Medicinal Plants Leaf Recognition
nork: Mahalanabish, Tonusri
Argitaratua: (2023)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
nork: Tanvir, Farhan, et al.
Argitaratua: (2024)

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

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

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
nork: Ifty, Md. Hasin Sarwar, et al.
Argitaratua: (2024)

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

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

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

An efficient deep learning approach to classify white blood cells
nork: Turja, Afif Ibna Kadir Khan, et al.
Argitaratua: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
nork: Ferdous, Md.Rubaiat, et al.
Argitaratua: (2024)

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

Leveraging sequential deep learning models for detecting multitude of human action categories
nork: Pranta, Kazi Al Refat, et al.
Argitaratua: (2024)

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

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

KDANet: optical recognition for Bangla language using deep neural networks
nork: Rabbi, Kazi Kamruzzaman, et al.
Argitaratua: (2023)

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

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

Detection of handwritten text using convolutional neural network
nork: Jasim, Rabib Bin, et al.
Argitaratua: (2024)

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

Efficient image processing and machine learning approach for predicting retinal diseases
nork: Hasib, Mehadi Hasan, et al.
Argitaratua: (2021)

Autism detection based on MRI images using Deep Learning
nork: Mostafa, Sadab, et al.
Argitaratua: (2023)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
nork: Neehal, Ahmed Hasin, et al.
Argitaratua: (2020)

Comparison of different CNN architectures for brain tumor detection using fMRI
nork: Mashiat, Afsara, et al.
Argitaratua: (2021)

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
nork: Mahtab, Motahar, et al.
Argitaratua: (2022)

X-Ray classification to detect COVID-19 using ensemble model
nork: Solaiman, Ishmam Ahmed, et al.
Argitaratua: (2021)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
nork: Khan, Ibrahim
Argitaratua: (2023)