Browsing by Author "Alam, Md. Ashraful"
Now showing items 1-20 of 59
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3D fabrication of food through software implementation for patients of various diseases and dysphagia
(BRAC University, 2018-07)3D printing can be considered as a means of creating solid 3-dimensional objects using additive manufacturing with the aid of computer design software. With respect to time and newer technologies, 3D printing has advanced ... -
3D model generation of real-objects using depth and color information
(BRAC University, 2018-04)We propose and demonstrate a method of generating 3D model using depth and color information of real-object using Microsoft Kinect sensor using our proposed pixel mapping algorithm. The primary idea of the method is to ... -
Analysis of training time optimization for self-driving car using alternate max pooling layers
(BRAC University, 2018-04)In the modern era, the vehicles are focused to be automated to give human driver relaxed driving. In the field of automobile various aspects have been considered which makes a vehicle automated. As Udacity, in 2016, with ... -
Augmented reality based flight assisting system under emergency circumstances
(Brac University, 2020-04)The number of aerial vehicles have continuously increased as our technology advances and will continue to increase. However, to fly any aerial vehicle manually, the person should have a thorough understanding of GPS ... -
Bangla sign language recognition and sentence building using deep learning
(Brac University, 2020-04)Modern age being the era of Information technology, it would not have come this far without the piled up data or information. Whereas communication is the basis of collecting or gathering data or information, almost 5% ... -
Bangla speech isolation from noisy auditory environment using convolutional neural network
(Brac University, 2023-01)In recent years, the primary solution to sound enhancement has gained popularity. There is a rich research contribution from academia and industry to remove noise and enhance sound quality. With the advance in machine ... -
Brain image fMRI data classification and graphical representation of visual object
(Brac University, 2018-12)Analyzing neuroimaging data has become a research of interest these days because of their several applications starting from analysis of brain region connectivity to analysis of ventral streams and visual stimuli. In ... -
Breast cancer prediction using different machine learning models
(Brac University, 2019-08)Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ... -
Classi cation of magnetic configurations using machine learning algorithms
(Brac University, 2019-08)Machine learning is used to carry out e cient studies and analyses in the eld of condensed matter physics. We propose comprehensive machine learning approaches that would classify between magnetic structures. We propose ... -
Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
(Brac University, 2022-05)Machine learning (ML) is such a field that focuses on learning based method. It basically leverage data to improve the performance on particular tasks. It creates a model based on training data and makes prediction ... -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ... -
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores, robots, infrastructure and surveillance monitoring programs ... -
A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
(Brac University, 2020-04)We propose a color vision approach that enables normalizing images based on autoencoder technique using deep neural networks. The proposed model consists of three main different steps: image processing, encoding and ... -
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)In every 100 years, there has been a pandemic all around the world. The globe faced Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively. Coronavirus, commonly known as Covid-19, is currently ... -
Crop monitoring system using image processing and environmental data
(BRAC University, 2018)We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ... -
A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
(Brac University, 2022-05)Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL) CNN methods use a variety of probabilistic and ... -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ... -
Detecting brain tumor using deep neural networks from MRI images
(Brac University, 2021-06)A brain tumor is a collection of abnormal cells growth in brain. It is a neurological disease which causes great damage and affects other healthy cells of brain. It can be cancerous or non-cancerous. Nowadays, people are ... -
Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
(Brac University, 2019-04)Among di erent imaging techniques MRI, MRSI and CT scans are some of the widely use techniques to visualize brain structures to point out brain anomalies especially brain tumor. Identi cation of brain tumor accurately ... -
Detection of coronary artery blockage at an early stage using effective deep learning technique
(Brac University, 2022-09-28)A coronary artery blockage is a form of coronary artery disease also known as CAD. It is the most common and frequent disease affecting the human body over the age of 65. CAD is a type of cardiovascular disease that ...
