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.

Dades bibliogràfiques
Autor principal:	Islam, Md Rashidul
Altres autors:	Alam, Golam Rabiul
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2024
Matèries:	LTE networks Machine learning Deep learning Mobile network capacity Resource management Long-Term Evolution (Telecommunications)
Accés en línia:	http://hdl.handle.net/10361/23110

Ítems similars

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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