Recently added

Brain hemorrhage detection using hybrid machine learning algorithm

Iqbal, Khondoker Nazia; Azad, Istinub; Emon, Md. Imdadul Haque; Amlan, Nibraj Safwan; Aporna, Amena Akter (Brac University, 2022-01)

Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ...

An efficient deep learning approach for detecting Alzheimer’s disease using brain images

Sani, Mehedi Hasan; Rahman, Mohibur; Achib, Md. Abdullah Al; Hossain, Rakib (Brac University, 2022-01)

Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory. This is a successively growing disease which means the severity of it will be upward with the time. In this century, AD is one of the ...

Integration of handcrafted and deep neural features for Melanoma classification

Rahman, Mohammad Saminoor; Hossain, Md. Jubayer; Islam, Siful; Kabir, Md. Nafiul; Sujon, Md. Kamrul Hasan (Brac University, 2021-09)

Deep neural networks (DNNs) are widely utilized to automate medical image in- terpretation in many forms of cancer diagnosis and to support medical specialists with fast data processing. Although man-made characteristics ...

Heart disease prediction system

Amit, Tayab Al Azad; Fullkoli, Raida Nawar; Palit, Niloy; Nafisa, Farhana Khan; Binoy, MD Muntakim Ahmed (Brac University, 2022-01)

[1]According to the World Health Organization (WHO), 17.9 million people die each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide. This single piece of evidence is strong enough to describe ...

Blockchain-based micropayment system for secured cashless small payments

Siam, Morshed; Mandal, Shovon; Keya, Mahmuda Akter; Dhar, Swarojani; Tahsin, H.M. Irfan (Brac University, 2021-09)

The Internet of Things (IoT) is driving a tremendous digitization tsunami right now. IoT devices create huge amounts of data in the internet of everything era. Many IoT data services use distributed ledger technology ...

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction

Khan, Rubayat Ahmed (Brac University, 2017-07)

This research proposes two effective real time fire detection techniques, based on video processing. The former technique is restricted to indoor conditions only while the later does not have such constraints. Both the ...

Generation of realistic images from human drawn sketches using deep learning

Mahbub, Mohammed Julfikar Ali; Rahmatullah, S. Afsan; Rahman, G M Sohanur; Zillanee, Abu Hasnayen; Akib, Aknur Kamal (Brac University, 2022-01)

Processing sketches to produce realistic images is an intriguing idea in the world of emerging Artificial Intelligence. We present a Generative Adversarial Network (GAN) based methodology that creates satisfactory images ...

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet

Promita, Samanta Tabassum; Biswas, Simon Abhijet; Mozumder, Nisat Islam; Taharat, Mamur (Brac University, 2022-01)

Due to our unhealthy diets and the consumption of enhanced cholesterol in our daily lives, our health has become vulnerable and at risk of different types of cardiac diseases. The most common of them is Myocardial ...

Diabetic retinopathy detection and classification by using deep learning

Hossain, Shahriar; Evan, Md. Nurusshafi; Farhin, Fariya Zakir; Nabil, Mashrur Karim; Sadman, Sameen (Brac University, 2022-01)

Eyes are the most sensitive part of a human being and it is one of the most challenging tasks for a computer-aided system to classify its diseases. Many visionthreatening diseases such as, Glaucoma and Diabetic Retinopathy ...

Novel approach to detect hate speech and profanity on online platforms

Pritha, Barha Meherun; Islam, Samin; Alam, Tabassum (Brac University, 2021-09)

Hate speech is becoming more prominent and dominant in the virtual world, with the popularity of social media increasing day by day. People nowadays have various online platforms where they can express their hatred and ...

Reconstruction of images with RPCA and augmenting 3D model

Tahiti, Tasnia Jasim; Yusuf, Talha; Shakhawat, Chowdhury Abrar (Brac University, 2022-01)

Crime scene photography is one of the most essential parts of documentation for all physical crime scenes in the field of forensic science. It is an organized and structured operation, having a goal of helping the ...

Voice impersonation detection using LSTM based RNN and explainable AI

Barua, Kawshik; Rahim, Abdur; Parizat, Prantozit Saha; Noor, Md.Asad Uzzaman; Jannah, Miftahul (Brac University, 2021-10)

The advancing eld of arti cial synthetic media introduced deepfakes which made it easier to synthesize a person's voice, identical to their original voice mechanically to use it for negative means. People's voices are ...

An efficient deep learning approach to detect COVID-19 infected lungs using image data

Kabir, Asif Rezwan; Roy, Shutirtha; Zerin, Nusrat; Afrin, Sheikh Sharia; Choudhury, Anika Jahan (Brac University, 2022-01)

The beginning of 2020 will always be a dreadful chapter in human history. Even with all the recent advancements in the medical sector, the COVID-19 virus proved to be a major challenge for doctors all over the world. The ...

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques

Ahasan, Md. Mubtasim; Fahim, Mohammad; Mazumder, Himadri; Fatema, Nur E; Rahman, Sheikh Mustafizur (Brac University, 2022-01)

Infectious and non-infectious respiratory diseases are among the major reasons for deaths, financial and social crises around the world. However, medical personnel still find it very difficult to detect the diseases using ...

Visual object classification from fMRI data

Newaz, Syed Mishar; Taseeb, Taslim Ahmed; Haque, Abdullah Nurul (Brac University, 2022-01)

Computing devices were once limited in just calculating arithmetic. Whereas, in modern computing, complex task like object classi cation or recognition has become so popular that even our smart devices cannot be thought ...

Emotion analysis using machine learning model and deep learning model on DEAP dataset

Hasan, Anita; Abrar, Fahim; Sabur, Eshaan Tanzim; Muntasir, Iftehaj; Na sha, Sumaia Sadia (Brac University, 2021-10)

Emotion has a signi cant in uence on how you think and interact with others. It serves as a link between how you feel and the actions you take, or you could say it in uences your life decisions on occasion. Since the ...

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images

Hossain, Mainul; Haque, Shataddru Shyan; Ahmed, Humayun; Mahdi, Hossain Al; Aich, Ankan (Brac University, 2022-01)

Colon cancer is one the most prominent and daunting life threatening illnesses in the world. Histopathological diagnosis is one of the most important factors in determining cancer type. The current study aims to create ...

School of Data and Sciences (SDS): Recent submissions

Brain hemorrhage detection using hybrid machine learning algorithm

An efficient deep learning approach for detecting Alzheimer’s disease using brain images

Integration of handcrafted and deep neural features for Melanoma classification

Heart disease prediction system

Blockchain-based micropayment system for secured cashless small payments

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction

Generation of realistic images from human drawn sketches using deep learning

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet

Diabetic retinopathy detection and classification by using deep learning

Novel approach to detect hate speech and profanity on online platforms

Reconstruction of images with RPCA and augmenting 3D model

Voice impersonation detection using LSTM based RNN and explainable AI

An efficient deep learning approach to detect COVID-19 infected lungs using image data

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques

Visual object classification from fMRI data

Emotion analysis using machine learning model and deep learning model on DEAP dataset

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images

A study on author ranking

Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics

Sentiment analysis on Bangladesh airlines review data using machine learning

School of Data and Sciences (SDS): Recent submissions

Brain hemorrhage detection using hybrid machine learning algorithm ﻿

An efficient deep learning approach for detecting Alzheimer’s disease using brain images ﻿

Integration of handcrafted and deep neural features for Melanoma classification ﻿

Heart disease prediction system ﻿

Blockchain-based micropayment system for secured cashless small payments ﻿

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction ﻿

Generation of realistic images from human drawn sketches using deep learning ﻿

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet ﻿

Diabetic retinopathy detection and classification by using deep learning ﻿

Novel approach to detect hate speech and profanity on online platforms ﻿

Reconstruction of images with RPCA and augmenting 3D model ﻿

Voice impersonation detection using LSTM based RNN and explainable AI ﻿

An efficient deep learning approach to detect COVID-19 infected lungs using image data ﻿

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques ﻿

Visual object classification from fMRI data ﻿

Emotion analysis using machine learning model and deep learning model on DEAP dataset ﻿

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images ﻿

A study on author ranking ﻿

Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics ﻿

Sentiment analysis on Bangladesh airlines review data using machine learning ﻿

Brain hemorrhage detection using hybrid machine learning algorithm

An efficient deep learning approach for detecting Alzheimer’s disease using brain images

Integration of handcrafted and deep neural features for Melanoma classification

Heart disease prediction system

Blockchain-based micropayment system for secured cashless small payments

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction

Generation of realistic images from human drawn sketches using deep learning

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet

Diabetic retinopathy detection and classification by using deep learning

Novel approach to detect hate speech and profanity on online platforms

Reconstruction of images with RPCA and augmenting 3D model

Voice impersonation detection using LSTM based RNN and explainable AI

An efficient deep learning approach to detect COVID-19 infected lungs using image data

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques

Visual object classification from fMRI data

Emotion analysis using machine learning model and deep learning model on DEAP dataset

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images

A study on author ranking

Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics

Sentiment analysis on Bangladesh airlines review data using machine learning