Browsing by Subject "Algorithms"
Now showing items 1-11 of 11
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3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning
(Brac University, 2022-04)In a mobile network, there are a lot of data that can provide network detail about network efficiency, robustness, and availability. A type of data is mobile network performance data obtained from the key performance ... -
Analysing Facebook user risk using machine learning algorithm
(Brac University, 2020-04)Now-a-days people exchange their personal information and interact with companions and close relatives in a way which is revolutionized. In any case, the majority of them don’t have the foggiest idea how to utilize, where ... -
Brain tumor detection through image processing
(Brac University, 2021-01)Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ... -
Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm
(Brac University, 2022-09-28)Process scheduling is an integral part of operating systems. The most widely used scheduling algorithm in operating systems is round-robin (RR), but the average waiting time in RR is often quite long. The purpose of this ... -
Education content provider based on particular weaknesses of students: a unsupervised machine learning appro
(Brac University, 2023-09)To uncover underlying patterns in large datasets, a procedure called data mining is often utilized. By analyzing data gathered through Online Learning (OL) systems, data mining can be used to unearth hidden relationships ... -
Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
(© 2016 Springer Netherlands, 2016)One of the challenging issues in a distributed computing system is to reach on a decision with the presence of so many faulty nodes. These faulty nodes may update the wrong information, provide misleading results and may ... -
Efficient consensus algorithm for the accurate faulty node tracking with faster convergence rate in a distributed sensor network
(© 2016 Springer Netherlands, 2016)One of the challenging issues in a distributed computing system is to reach on a decision with the presence of so many faulty nodes. These faulty nodes may update the wrong information, provide misleading results and may ... -
A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
(Brac University, 2023-01)In this research, we propose a hybrid model for predicting suicide risk from text data that incorporates BERT, VADER, and a Random Forest classifier for sentiment analysis. This model aims to identify individuals who may ... -
ML based performance assurance and VoC management of highly convergence mobile operator network.
(Brac University, 2023-10)The convergence of technology in mobile operator networks has ushered in a new era of interconnectedness and communication efficiency. As these networks become increasingly complex, ensuring their optimal performance and ... -
Simulating the transformation of plane triangulation using edge flip algorithms
(Brac University, 2021)In Computational Geometry edge flipping of triangulation is a well-studied topic . Also in computer graphics, triangulations are used to form any kind of shape of an object. Although many algorithms have been introduced ... -
Squad selection for cricket team using machine learning algorithms
(Brac University, 2018-10)There are mainly three renowned formats of cricket – ODI (One Day International), Test Match and T20 (Twenty Twenty). Selecting a 15 men perfect squad for a particular cricket match in a particular cricket tournament ...
