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.

Bibliographische Detailangaben
Hauptverfasser:	Newaz, Syed Mishar, Taseeb, Taslim Ahmed, Haque, Abdullah Nurul
Weitere Verfasser:	Zavid Parvez, Mohammad
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2022
Schlagworte:	Functional MRI Visual features Convolutional neural network Deep learning Cognitive learning theory (Deep learning) Machine learning Neural networks (Computer science)
Online Zugang:	http://hdl.handle.net/10361/16779

Ähnliche Einträge

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

Visual object recognition using deep convolutional neural network
von: Ahmed, Sabbir
Veröffentlicht: (2017)

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

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

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

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

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

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

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

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

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

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

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

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

Deep Learning based Medicinal Plants Leaf Recognition
von: Mahalanabish, Tonusri
Veröffentlicht: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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