Brain hemorrhage detection using hybrid machine learning algorithm

Brain hemorrhage detection using hybrid machine learning algorithm

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

Bibliografski detalji
Glavni autori:	Iqbal, Khondoker Nazia, Azad, Istinub, Emon, Md. Imdadul Haque, Amlan, Nibraj Safwan, Aporna, Amena Akter
Daljnji autori:	Islam, Md. Saiful
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2022
Teme:	Hybrid machine learning Convolutional neural network (CNN) Multilayer Perceptron Model (MLP) Random Forest (RF) VGG-16 VGG-19 Brain hemorrhage Explainable AI Machine learning Neural networks (Computer science) Computational intelligence. Mathematical logic.
Online pristup:	http://hdl.handle.net/10361/16907

Similar Items

Predicting brain age from EEG signals using machine learning and neural network
od: Pratanu, Abul Mushfique Muslah, i dr.
Izdano: (2023)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
od: Sarwar, Arafat, i dr.
Izdano: (2023)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
od: Rahman, Afridi Ibn, i dr.
Izdano: (2022)

Intracranial hemorrhage detection using CNN-LSTM fusion model
od: Ahmed, Kazi sabab, i dr.
Izdano: (2022)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
od: Choudhury, Prionto Kumar, i dr.
Izdano: (2024)

Covid-19 infected lung detection using machine learning
od: Islam, Md. Muntaha, i dr.
Izdano: (2022)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, i dr.
Izdano: (2022)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
od: Shakil, Mahmudul Hasan
Izdano: (2023)

An efficient ML approach to detect brain tumor using MRI images
od: Muktadir, MD. Arafat, i dr.
Izdano: (2024)

Economic crisis prediction due to pandemic outbreak using machine learning
od: Ahmed, Tanvir, i dr.
Izdano: (2021)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
od: Sarmi, Kaniz Fatima, i dr.
Izdano: (2022)

A machine learning approach to detect DeepFake videos
od: Hassan, Md. Mahedi, i dr.
Izdano: (2021)

Deep Learning based Medicinal Plants Leaf Recognition
od: Mahalanabish, Tonusri
Izdano: (2023)

A domain and noise adversarial bird tune classification pipeline using deep neural network
od: Riya, Aparna Sarker, i dr.
Izdano: (2023)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
od: Akhter, Nasrin
Izdano: (2023)

Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
od: Islam, Md. Tahmidul, i dr.
Izdano: (2023)

Heart disease prediction system
od: Amit, Tayab Al Azad, i dr.
Izdano: (2022)

Personalization in federated recommendation system using SVD++ with explainability
od: Patwary, Kabbya Kantam, i dr.
Izdano: (2022)

Mobile sensors based human activity recognition using machine learning with explainable ML
od: Rahman, Raihan, i dr.
Izdano: (2021)

Learning a deep neural network for predicting phishing website
od: Das, Robat, i dr.
Izdano: (2019)

Crop prediction based on geographical and climatic data using machine learning and deep learning
od: Alif, Al Amin, i dr.
Izdano: (2019)

An efficient deep learning approach to classify white blood cells
od: Turja, Afif Ibna Kadir Khan, i dr.
Izdano: (2024)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
od: Khilji, Ishfaque Qamar, i dr.
Izdano: (2021)

Economic crisis prediction due to pandemic outbreak using machine learning
od: Ahmed, Tanvir, i dr.
Izdano: (2021)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
od: Ahmed, Istiak, i dr.
Izdano: (2023)

Fruit and vegetable freshness detection using deep learning
od: Haque, Md. Mahidul, i dr.
Izdano: (2023)

Using deep learning algorithms to detect violent activities
od: Ammar, S.M. Rojin, i dr.
Izdano: (2019)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
od: Chowdhury, Asif Hasan, i dr.
Izdano: (2023)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
od: Radiah, Faiza, i dr.
Izdano: (2024)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
od: Rahman, Rafeed, i dr.
Izdano: (2021)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
od: Islam, Roman, i dr.
Izdano: (2024)

Deep Learning based Bangla Voice to Braille Character Conversion System
od: Iqbal, Syed Bayes, i dr.
Izdano: (2022)

Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
od: Bhuiyan, Md Raihanul Islam, i dr.
Izdano: (2024)

An interpretable deep learning approach to detect Alzheimer using MRI images
od: Oni, Farhan Anzum, i dr.
Izdano: (2023)

Crowd source based traffic analysis using machine learning algorithm
od: Orthy, Marzia Khan, i dr.
Izdano: (2018)

An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
od: Pasha, Maroof Ur Rahman
Izdano: (2016)

Bang-lish sentiment classification using deep learning
od: Saleheen, Abrar, i dr.
Izdano: (2023)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, i dr.
Izdano: (2023)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
od: Rahman, Masroor, i dr.
Izdano: (2023)

Detecting brain tumor using deep neural networks from MRI images
od: Imamuzzaman, A.S.M., i dr.
Izdano: (2021)