A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring

A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.

Dettagli Bibliografici
Autore principale:	Islam, Md Rashidul
Altri autori:	Alam, Golam Rabiul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	LTE networks Machine learning Deep learning Mobile network capacity Resource management Long-Term Evolution (Telecommunications)
Accesso online:	http://hdl.handle.net/10361/23110

Documenti analoghi

Empowering mobile network planning through deep learning: a path to democratization
di: Nabi, Syed Tauhidun
Pubblicazione: (2024)

An android application to predict human activity using a deep learning LSTM model
di: Sikder, Debabrata
Pubblicazione: (2024)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
di: Biswas, Sunanda, et al.
Pubblicazione: (2022)

Leveraging sequential deep learning models for detecting multitude of human action categories
di: Pranta, Kazi Al Refat, et al.
Pubblicazione: (2024)

Damaged road detection using Image Processing and Deep Learning
di: Swadesh, Shimran Mahbub, et al.
Pubblicazione: (2022)

The influence of neuromarketing: machine learning based empirical analysis
di: Muktadir, MD. Abdullah Al, et al.
Pubblicazione: (2024)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
di: Rayhan, Mohammad, et al.
Pubblicazione: (2020)

A modern technique to detect potholes by Computer Vision and Deep Learning
di: Saif, Muntasir Mahmud, et al.
Pubblicazione: (2023)

Corn leaf disease detection using deep convolution neural network
di: Rabbi, Rawhatur, et al.
Pubblicazione: (2023)

An efficient deep learning approach to detect skin Cancer
di: Islam, Ashfaqul, et al.
Pubblicazione: (2022)

An implementation and analysis of deep learning models for the detection of wheat diseases
di: Zubair, Ahmad, et al.
Pubblicazione: (2024)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
di: Toufique, S.M, et al.
Pubblicazione: (2024)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
di: Fahim, Kaji Mehedi Hasan, et al.
Pubblicazione: (2024)

Predicting crime using deep learning
di: Shihab, Muhammad Nafees, et al.
Pubblicazione: (2024)

Cooperative game theory based load balancing in long term evolution network
di: Intesar, Sadia, et al.
Pubblicazione: (2016)

Application of CNN based architectures in detection of distracted drivers
di: Arafin, Irfana, et al.
Pubblicazione: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
di: Hasan, M. M. Kamrul, et al.
Pubblicazione: (2022)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
di: Dewanjee, Tanmoy, et al.
Pubblicazione: (2021)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
di: Ghosh, Kawshik Kumar, et al.
Pubblicazione: (2023)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
di: Mouli, Nazifa, et al.
Pubblicazione: (2023)

Prostate cancer detection using deep learning neural network with transfer learning approach
di: Badhon, Ariful Islam Mahmud, et al.
Pubblicazione: (2022)

Yoga posture recognition using the deep learning process
di: Islam, Abidul, et al.
Pubblicazione: (2023)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
di: Khan, Ibrahim
Pubblicazione: (2023)

Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
di: Al Taawab, Abdullah, et al.
Pubblicazione: (2022)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
di: Rafat, Md. Tasbi, et al.
Pubblicazione: (2023)

Document template identification and data extraction using machine learning and deep learning approach
di: Roy, Kaushik, et al.
Pubblicazione: (2024)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
di: Islam, Zahedul, et al.
Pubblicazione: (2023)

Real-time foul detection in football matches using machine learning techniques
di: Siddiqui, Bishal Sadi, et al.
Pubblicazione: (2024)

Behavior change analysis due to violent video gaming using deep learning models
di: Rahman, Akhlak Ur, et al.
Pubblicazione: (2024)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
di: Sakib, Hasibul, et al.
Pubblicazione: (2024)

An efficient deep learning approach to classify white blood cells
di: Turja, Afif Ibna Kadir Khan, et al.
Pubblicazione: (2024)

Deep learning based arrhythmia classification on low-cost and low-compute MCU
di: Zishan, Md Abu Obaida, et al.
Pubblicazione: (2023)

Smart companion agent for mental well-being through Deep Learning and NLP
di: Khan, Rafiur, et al.
Pubblicazione: (2021)

An interpretable transformer based approach to classify Malaria from blood cell images
di: Islam, Mehafuza, et al.
Pubblicazione: (2023)

A deep learning approach towards soft biometrics attributes prediction using CNN
di: Kibria, Maharab, et al.
Pubblicazione: (2022)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
di: Turjo, Aquib Abtahi, et al.
Pubblicazione: (2021)

Deep learning-based real-time pothole detection for avoiding road accident
di: Basher, Rafsan, et al.
Pubblicazione: (2022)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
di: Islam, Roman, et al.
Pubblicazione: (2024)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
di: Hossain, Prommy Sultana
Pubblicazione: (2022)

Deep learning-based waste classification system for efficient waste management
di: Nakib, Abdullah Al, et al.
Pubblicazione: (2022)