Essays about: "literature review of telecommunication"

Showing result 1 - 5 of 19 essays containing the words literature review of telecommunication.

1. 1. Prediction Models for TV Case Resolution Times with Machine Learning

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

   Author : Borja Javierre I Moyano; [2023]
   Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

   Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

3. 2. Mapping the Attack Surface of Telecommunication Networks from the Public Internet

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

   Author : Jayshree Rathi; [2023]
   Keywords : Attack Surface Mapping; Telecommunication; Passive Reconnaissance; Mobile Network Operator; Public Internet; Kartläggning av Attackytan; Telekommunikation; Passiv Rekon- naissance; Mobilnätsoperatör; Offentligt Internet;

   Abstract : The telecommunications sector is increasingly connected to the Internet, resulting in an expanded attack surface accessible from the public Internet. This has increased the availability of information such as IP addresses, open ports, and other network details that anyone from the Internet can access. READ MORE

4. 3. Developing Random Compaction Strategy for Apache Cassandra database and Evaluating performance of the strategy

   University essay from Blekinge Tekniska Högskola

   Author : Roop Sai Surampudi; [2021]
   Keywords : Apache Cassandra; Compaction; Random Probability Distributions; IBM Cloud; NoSQL databases;

   Abstract : Introduction: Nowadays, the data generated by global communication systems is enormously increasing.  There is a need by Telecommunication Industries to monitor and manage this data generation efficiently. Apache Cassandra is a NoSQL database that manages any formatted data and a massive amount of data flow efficiently. READ MORE

5. 4. Value-driving factors for Employer Attractiveness : A multiple case study within the IT industry

   University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling

   Author : Jonatan Moen; Magdalena Woodhouse; [2021]
   Keywords : Customer value; Employer attractiveness; Employer branding;

   Abstract : As the society we live in today is moving towards being more technology-driven, the competition in the labor market of attracting people within the IT industry is increasing. To attract people within the IT industry, firms must understand what attracts these people to then be able to form a proposition that suits these individuals. READ MORE

6. 5. Data-driven Management Framework using National and Corporate Culture Analytics to foster Innovation Ambidexterity : A case study on a world leading telecom company

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : Chiara Isola; Divya Peddireddy; [2021]
   Keywords : Ambidexterity; Exploration; Exploitation; Innovation; National culture; Corporate culture; Telecommunication Sector; Human Capital; Data-driven Management; Business Strategy; Machine Learning;

   Abstract : Background: In a highly competitive world, leaders of firms highly dependent on innovation, such astelecom companies, must acquire data-driven managerial skills to systematically analyze datasets from multiple points of view to aid decision-making in the new context of Industry 4.0. READ MORE