Browsing by Subject "Autoencoder"
Now showing items 1-7 of 7
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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 ... -
A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
(Brac University, 2022-01)We present a color vision system that utilizes deep neural net- works to normalize pictures using the autoencoder algorithm. Image processing, encoding, and decoding are the three essen- tial processes in the proposed ... -
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores, robots, infrastructure and surveillance monitoring programs ... -
A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
(Brac University, 2020-04)We propose a color vision approach that enables normalizing images based on autoencoder technique using deep neural networks. The proposed model consists of three main different steps: image processing, encoding and ... -
Gene expression analysis using machine learning
(Brac University, 2021-01)Cancer is a multifactorial disorder that occurs due to the complex interaction between the environment and gene. The susceptibility of a person to cancer depends on his genetic build-up. Recently, the study of genomes in ... -
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 ... -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
(Brac University, 2020-03)Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is highly requisite for the treatment, screening, diagnosis ...
