Browsing School of Data and Sciences (SDS) by Title
Now showing items 21-40 of 2026
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Accurate numerical simulation of the far-field tsunami caused by the 2011 Tohoku earthquake, including the effects of Boussinesq dispersion, seawater density stratification, elastic loading, and gravitational potential change
(© 2017 Elsevier Ltd, 2017-03-01)In this study, we considered the accurate calculation of far-field tsunami waveforms by using the shallow water equations and accounting for the effects of Boussinesq dispersion, seawater density stratification, elastic ... -
Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
(© 2016 Old City Publishing, Inc., 2016)Reliable and efficient fault diagnosis of induction motors is an important issue in industrial environments. This paper proposes a method for reliable fault diagnosis of induction motors using signal processing of acoustic ... -
An active-learning based training-schedule for biomedical image segmentation on deep neural networks
(Brac University, 2021-01)Biomedical image classification and segmentation are quite important tasks for medical diagnosis. Many Deep Neural Networks (U-Net, V-Net, etc) have been used in recent years to segment biomedical images. For classification ... -
An adaptive digital image watermarking scheme with PSO, DWT and XFCM
(© 2017 IEEE, 2017-02)In this paper, a novel adaptive digital image watermarking model based on modified Fuzzy C-means clustering is proposed. For watermark embedding process, we used Discrete Wavelet Transform (DWT). A segmentation technique ... -
Adoption and up gradation of CMMI : prospect of software industry of Bangladesh
(BRAC University, 2005-05)Software industry of Bangladesh is still a way beyond the international standard and recognition because of its infrastructure. To consolidate its structural integrity, the constituent firms should be encouraged for ... -
The AdS-CFT correspondence and the black-hole information theory paradox
(BRAC University, 2017)This thesis discusses the role of AdS/CFT correspondence in high-energy physics. It concentrates on studying the mathematical black holes in various backgrounds, particularly in the anti deSitter(AdS) space. In this ... -
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
(Brac University, 2023-03)In this study, we present a novel approach for securely analyzing medical images using federated learning and partially homomorphic encryption within a distributed data fabric architecture. Our approach allows multiple ... -
Advanced health insurance system using smart contract of ethereum blockchain
(Brac University, 2023-05)Every year, more healthcare insurance frauds are discovered, which is hugely worrying for society. Healthcare insurance fraud takes many forms, including fabricating data, obfuscating third-party responsibility, misrepresenting ... -
An advanced healthcare android application with machine learning
(BRAC University, 2018)In this thesis, an advanced healthcare application on android platform is proposed and demonstrated using machine learning techniques. This advance healthcare application allows the user to conduct critical prognosis based ... -
An advanced hospital rating system using machine learning and natural language processing
(Brac University, 2023-05)Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately, there is no reliable metric or resource available online to determine which hospital is better. Patients and their peers often find it ... -
Advanced portfolio management using markowitz portfolio theory
(Brac University, 2019-12)A portfolio is a collection of stocks made from different companies, the number of stocks can range from 10 to 30 depending on expected return by the investors. Portfolio management is finding the right group of stocks ... -
Advanced task scheduling algorithm for IoT Based FOG communication model
(Brac University, 2020-04)Internet of Things (IoT) is hugely dependent on Cloud Computing. Cloud comput- ing uses a high degree of polymerization calculation mode and so it cannot ensure e ective use of resources like computing, storage, etc. FOG ... -
Affective social anthropomorphic intelligent system
(Brac University, 2021-01)At present, intelligent virtual assistants (IVA) are not only about delivering the functionalities and increasing their performances; they also need a socially interactive personality. As human conversational styles are ... -
Agricultural yield and profit prediction using data analysis techniques
(2018-12)This research proposes a model that will enable us to predict the agricultural outcome of a country. The prediction will include the agricultural yield for the upcoming years as well as predict the profit margin for ... -
Agrobacterium mediated transformation of two peanut (Arachis hypogaea L.) explants using Na⁺/H⁺ antiporter gene to generate transgenies to resist salinity stress
(BRAC University, 2018-07)Peanut is one of the most popular sources of healthy addible oil. Its susceptance to various biotic and abiotic stresses is limiting crop production worldwide. Salinity is prior to them. Moreover, it is strictly monocious ... -
Air pollution monitoring system for smart city
(BRAC Univeristy, 2018)Where pollution has become a major problem around the world, air pollution is the most dangerous, shocking and severe pollution among other pollutions e.g. water pollution, soil pollution, noise pollution, light pollution, ... -
Air pollution monitoring system based on air pollutant index(API) and geographic information system(GIS)"
(BRAC University, 2019-05)Air pollution is the most alarming fact in modern world. Air pollution monitoring system is common research eld with tremendous new information which can be used to nd out the main air pollutants. In this research the ... -
An alternate to hawk eye using the graphics processing unit
(BRAC University, 4/28/2013)The more powerful and advanced our processing units become our hunger for more computation power increases. While we are pushing the Central Processing Unit (CPU) to its last limit in the hope to get more computational ... -
Alumni opportunities using machine learning
(BRAC University, 2018-12) -
Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
(Brac University, 2021-01)Alzheimer’s disease (AD) is a neurological disease that affects the healthy cells of the brain and results in people having long-term memory loss, thinking problems, disorientation, behavioral inconsistencies and finally ...