Empowering mobile network planning through deep learning: a path to democratization

Empowering mobile network planning through deep learning: a path to democratization

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

Sonraí bibleagrafaíochta
Príomhchruthaitheoir:	Nabi, Syed Tauhidun
Rannpháirtithe:	Alam, Golam Rabiul
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2024
Ábhair:	LTE networks Network planning Machine learning Deep learning Resource management Long-Term Evolution (Telecommunications)
Rochtain ar líne:	http://hdl.handle.net/10361/23113

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Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
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A modern technique to detect potholes by Computer Vision and Deep Learning
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Corn leaf disease detection using deep convolution neural network
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Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
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Yoga posture recognition using the deep learning process
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Comparative analysis and implementation of credit risk prediction through distinct machine learning models
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DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
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Multimodal human detection in disaster situations using deep learning & artificial intelligence
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Document template identification and data extraction using machine learning and deep learning approach
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Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
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Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
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Real-time foul detection in football matches using machine learning techniques
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Behavior change analysis due to violent video gaming using deep learning models
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Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
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Verifying online signatures through an iterative device independent model
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An efficient deep learning approach to classify white blood cells
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Deep learning based arrhythmia classification on low-cost and low-compute MCU
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An interpretable transformer based approach to classify Malaria from blood cell images
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A deep learning approach towards soft biometrics attributes prediction using CNN
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Deep learning-based real-time pothole detection for avoiding road accident
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Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
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Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
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Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
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