Browsing by Subject "K-Means"
Now showing items 1-5 of 5
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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 ... -
Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning
(Brac University, 2020-09)Bangladesh is predominately an agriculture-based country, which faces uncertain crop yields and inefficient farming infrastructure resulting in adverse effect in food security. Habiganj is selected as the study area because ... -
Automatic text summarization using Gensim Word2Vec and K-Means Clustering Algorithm
(Brac University, 2020-04)The significance of text summarization in the Natural Language Processing (NLP) community has now expanded because of the staggering increase in virtual textual materials. Text summary is the process created from one or ... -
Classification of damaged vegetation areas using convolutional neural network over satellite images
(Brac University, 2021-01)Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ... -
LRFS: online shoppers’ behavior based efficient customer segmentation model
(Brac University, 2023-02)The popularity of online shopping has grown significantly across the globe in recent years. This research proposes a customer segmentation model LRFS, an extended version of LRF model, built specifically for online ...
