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Now showing items 11-20 of 152
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 ...
Quantisation of Black hole horizon area and multipartite entanglement of Black hole information subsystems
(Brac University, 2019-12)
We formulate a model consisting of multipartite entanglement that helps provide a
physical significance to the Bekenstein-Hawking entropy obtained after quantising
the horizon area of a black hole as proposed by Jacob ...
A macroeconomic model for forecasting crude oil prices with Feedforward Neural Network Grid Search Experimentation
(Brac University, 2019-12)
Crude oil is one of the most important determinant of the global and national economy and important decision making factors of industrial activities. For this reason,
numerous mathematical and machine learning approaches ...
Isolation of antibiotic producing bacteria from soil and identification by 16S rRNA gene sequencing
(Brac University, 2019-09)
Antibiotic resistance has become a challenging issue in medical treatment process. A large portion the novel antibiotics are derived from soil microbes as soil being a primary source. Hence, to isolate novel antibiotic ...
Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis
(Brac University, 2019-08)
Recognizing a growing need to accommodate students of varied backgrounds and account
for individual di erences in learning curves, this paper re
ects on our work to
implement a Temporally Coherent Clustering approach ...
An NDN based indoor positioning and navigation system
(Brac University, 2019-12)
Providing navigation services indoor is becoming a growing trend in recent years.
Traditional GPS is not a viable solution for indoor use as it demands more accuracy
and may be out of reach of GPS signals. Indoor positioning ...
Bengali hand sign language recognition using convolutional neural networks
(BRAC University, 2019-04)
Throughout the world the number of deaf and mute population is rising ever so
increasingly. In particular Bangladesh has around 2.6 million individuals who aren't
able to communicate with society using spoken language. ...
Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
(Brac University, 2019-08)
In the area of machine learning, speech recognition was always a hot topic but as
world's 8th most widely spoken language Bangla hasn't got the focus as much as she
deserved. This research will be on speech recognition ...
A framework of biometric recognition and personalized mobile application to establish a dynamic connection with the ATM to enable secure transaction
(Brac University, 2019-08)
Secure transaction of money is the prime concern of banking industries for establishing a strong
banking network worldwide. By the vast uses of Automated Teller Machine (ATM) in this industry
transaction of money has ...
Market sales prospecting by analyzing customer buying pattern using machine learning
(Brac University, 2019-08)
For improving business, the organization needs to analyze the buying pattern of their
customer to keep track of all products that are being sold the most so that they could
keep the stocks of those products and remove ...