Essays about: "network telecom"

Showing result 6 - 10 of 109 essays containing the words network telecom.

  1. 6. Telecom Fraud Detection Using Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Chao Xiong; [2022]
    Keywords : Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

    Abstract : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. READ MORE

  3. 7. Recent M&A in the Telecom Industry : Industrial Wireless Networks

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Marcus Jacobsson; Olof Rickhammar; [2022]
    Keywords : Mergers and Acquisitions; M A; Evaluation of Strategic Partner; Industrial Wireless Networks; 5G; Wi-Fi; Fusioner och förvärv; Utvärdering och val av strategisk partner; Industriella trådlösa nätverk; 5G; Wi-Fi;

    Abstract : The development of more powerful wireless communication technologies such as 5G and Wi-Fi 6 are opening possibilities for advanced applications in industrial settings. Different types of players across the value chain are entering the market and engaging in mergers and acquisitions. READ MORE

  4. 8. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ali Shibli; [2022]
    Keywords : Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

    Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE

  5. 9. Recommendation Engine via Flexible Latent Explorations : Adaptation of Variational Autoencoders for Telecom domain

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aliaksandr Samson; [2022]
    Keywords : ;

    Abstract : While consumers get a lot of benefits with new generations of cellular networks, there is an increasing demand of reducing the energy consumption of telecom nodes. Finding optimal telecom node configurations usually results in network performance degradation. READ MORE

  6. 10. Improving Training of Differentiable Neural Computers on Time Series

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Isak Persson; [2022]
    Keywords : Memory augmented neural networks; Differentiable neural computers; Recurrent neural networks; Time series; Transfer learning; Minnesförstärkta neurala nätverk; Differentierbara neurala datorer; Återkommande neurala nätverk; Tidsserier; Överföra lärande;

    Abstract : Memory Augmented Neural Networks (MANN) is a hot research area within deep learning. One of the most promising MANN is the Differentiable Neural Network (DNC) which is able to learn, in a fully differentiable way, how to represent and store data into an external memory. READ MORE