Browsing by Author "Alam, Md. Ashraful"
Now showing items 41-60 of 71
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An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
(Brac University, 2021-01)Among the most convenient bacteriological assessments for the diagnosis and treatment with several health complications is the chest X-Ray. The World Health Organization (WHO) estimates, for instance, that pneumonic plague ... -
Faster image compression (LZW algorithm) technique using GPU parallel processing
(BRAC University, 12/26/2017)Since the beginning till present, the technology demands to store as massive data as possible in as little space as possible. As web, mobile, desktop and all other applications use image for different purposes, image ... -
Gender classification in Bangla language using deep learning-based voice analysis
(Brac University, 2023)Gender classification based on voice analysis is one of the elemental tasks in speech and audio processing, with various applications such as speech recognition systems, voice assistants, call center analytics, etc. For ... -
Generation of realistic images from human drawn sketches using deep learning
(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 ... -
Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
(BRAC University, 2018-12)There has been significant development in the recent Education System with the rapid development of technology however there are very few facilities that can help those people with disabilities such people without sight. ... -
Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
(Brac University, 2023-09)Maize is one of the most produced crops in the world and a significant contributor to the economy of various countries. Maize leaf diseases can lead to hamper of crop production and eventually reduce profit of agricultural ... -
Integration of handcrafted and deep neural features for Melanoma classification
(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 ... -
Interpretable COVID-19 classification leveraging ensemble neural network and explainable AI
(Brac University, 2021-06)COVID-19 which is also none as Corona Virus Disease is rst discovered in a city of China named Wuhan at December 2019 and it has been announced as a global pandemic at the middle of 2020. SARS-CoV-2 virus COVID-19 and ... -
An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
(Brac University, 2024-01)Early detection of retinal diseases can help people avoid going completely or partially blind. In this research, we will be implementing an interpretable diagnosis of retinal diseases using a hybrid model containing ... -
Investigation assistant with suspect anticipating intelligence
(Brac University, 2019-08)Truly settling crimes have been the privilege of the criminal justice and law enforcement specialists. With the expansion of the utilization of the computerized system to track violations and follow culprits, computer ... -
Iris communicator
(BRAC University, 2018-12)This research purposes an eye pupil tracking experimental software to enable communication abilities for individuals with severe motor impairment. Since the ability of moving eye pupil is often preserved, even in severe ... -
Learning a deep neural network for predicting phishing website
(Brac University, 2019-05)In recent years, we have seen a huge paradigm shift in business because of the fast development of the Web. For this reason, consumers change their tendency from customary shopping to the electronic business. In the time ... -
Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
(Brac University, 2022-01)2D computer vision and activities related to medical image analysis are remarkably guided with the help of Convolutional Neural networks (CNNs) in recent years. Since a chief portion in the available clinical imaging ... -
Machine learning approach for improving decision support in ICU
(BRAC University, 2018-07)Patients in the intensive care unit (ICU) receive a deep observation for controlling and responding to their rapidly changing physiological conditions. The quality of their care depends on clinical staff combining large ... -
A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
(Brac University, 2021-08)Rainfall has always been important in context of Bangladesh as almost 43% of the population depends on agriculture for their livelihood. Global warming has been taking a toll on environment and rainfall patterns have ... -
A machine learning approach to detect depression and anxiety using supervised learning
(BRAC University, 2019-04)Depression, a major depressive disorder and anxiety are common medical illness which cause several symptoms that a ect the way a person feels, thinks, and the way he/she acts. These disorders are not only hard to endure, ... -
Multi-modal emotion recognition for determining employee satisfaction
(Brac University, 2020-04)Emotion Detection has been very popular in the field of research for a couple of years. In the past, emotion recognition has been studied and applied in order to detect the overall emotional state of a person using ... -
N.P.K. based crop suggesting model
(Brac University, 2019-12)Bangladesh is a country having an area of 1, 47,570 square kilometers in which roughly 70.63 percent is agricultural lands [1]. As an agricultural country we are mostly dependent on soil. There are 3 most important ... -
Normalizing images in various weather and lighting conditions using Pix2Pix GAN
(Brac University, 2024-01)Autonomous vehicles are widely regarded as the future of transportation due to its possible uses in a myriad of applications. In recent years, perception systems in driverless cars have had reasonable development through ... -
Performance analysis of machine learning algorithms in resume recommendation systems
(BRAC University, 2018-04)We present an evaluation of machine learning algorithms on a model prepared by us for improving the recruitment processes of organizations. The recruitment of candidates, being an important process for any organization, ...
