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.

Bibliografiska uppgifter
Huvudupphovsmän:	Iqbal, Khondoker Nazia, Azad, Istinub, Emon, Md. Imdadul Haque, Amlan, Nibraj Safwan, Aporna, Amena Akter
Övriga upphovsmän:	Islam, Md. Saiful
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	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.
Länkar:	http://hdl.handle.net/10361/16907

Liknande verk

Predicting brain age from EEG signals using machine learning and neural network
av: Pratanu, Abul Mushfique Muslah, et al.
Publicerad: (2023)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
av: Sarwar, Arafat, et al.
Publicerad: (2023)

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

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

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

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

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

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

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

Economic crisis prediction due to pandemic outbreak using machine learning
av: Ahmed, Tanvir, et al.
Publicerad: (2021)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
av: Sarmi, Kaniz Fatima, et al.
Publicerad: (2022)

A machine learning approach to detect DeepFake videos
av: Hassan, Md. Mahedi, et al.
Publicerad: (2021)

Deep Learning based Medicinal Plants Leaf Recognition
av: Mahalanabish, Tonusri
Publicerad: (2023)

A domain and noise adversarial bird tune classification pipeline using deep neural network
av: Riya, Aparna Sarker, et al.
Publicerad: (2023)

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

Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
av: Islam, Md. Tahmidul, et al.
Publicerad: (2023)

Heart disease prediction system
av: Amit, Tayab Al Azad, et al.
Publicerad: (2022)

Personalization in federated recommendation system using SVD++ with explainability
av: Patwary, Kabbya Kantam, et al.
Publicerad: (2022)

Mobile sensors based human activity recognition using machine learning with explainable ML
av: Rahman, Raihan, et al.
Publicerad: (2021)

Learning a deep neural network for predicting phishing website
av: Das, Robat, et al.
Publicerad: (2019)

Crop prediction based on geographical and climatic data using machine learning and deep learning
av: Alif, Al Amin, et al.
Publicerad: (2019)

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

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
av: Khilji, Ishfaque Qamar, et al.
Publicerad: (2021)

Economic crisis prediction due to pandemic outbreak using machine learning
av: Ahmed, Tanvir, et al.
Publicerad: (2021)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
av: Ahmed, Istiak, et al.
Publicerad: (2023)

Fruit and vegetable freshness detection using deep learning
av: Haque, Md. Mahidul, et al.
Publicerad: (2023)

Using deep learning algorithms to detect violent activities
av: Ammar, S.M. Rojin, et al.
Publicerad: (2019)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
av: Chowdhury, Asif Hasan, et al.
Publicerad: (2023)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
av: Radiah, Faiza, et al.
Publicerad: (2024)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
av: Rahman, Rafeed, et al.
Publicerad: (2021)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
av: Islam, Roman, et al.
Publicerad: (2024)

Deep Learning based Bangla Voice to Braille Character Conversion System
av: Iqbal, Syed Bayes, et al.
Publicerad: (2022)

Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
av: Bhuiyan, Md Raihanul Islam, et al.
Publicerad: (2024)

An interpretable deep learning approach to detect Alzheimer using MRI images
av: Oni, Farhan Anzum, et al.
Publicerad: (2023)

Crowd source based traffic analysis using machine learning algorithm
av: Orthy, Marzia Khan, et al.
Publicerad: (2018)

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

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

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

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
av: Rahman, Masroor, et al.
Publicerad: (2023)

Detecting brain tumor using deep neural networks from MRI images
av: Imamuzzaman, A.S.M., et al.
Publicerad: (2021)