Tsegamlak Terefe

Tsegamlak Terefe
Addis Ababa Institute of Technology | AAIT · School of Electrical and Computer Engineering

Master of Science

About

7
Publications
361
Reads
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4
Citations
Additional affiliations
January 2013 - July 2019
Addis Ababa Institute of Technology
Position
  • Lecturer

Publications

Publications (7)
Conference Paper
Ethio-Telecom, the sole telecom service provider in Ethiopia, is expanding its mobile network infrastructures to reach its target of over 100 million subscribers in the next few years. As a result of this expansion and with the introduction of new services a considerable amount of electronic information (eg. E-mail, Short Message Service (SMS), etc...
Conference Paper
Mobile data consumption is rapidly growing following the ever-increasing bandwidth-hungry applications and improvements in network data rates. With the anticipated 5G right at the corner, operators are focusing on load-aware network dimensioning, optimization, and management, where traffic volume prediction plays a critical role. To this end, sever...
Conference Paper
The estimation of an optimal time series average has been studied for over three decades. The process is mainly challenging due to temporal distortion. Previous approaches mostly addressed this challenge by using alignment algorithms such as Dynamic Time Warping (DTW). However, the quadratic computational complexity of DTW and its inability to alig...
Conference Paper
Afan Oromo is the language of the Oromo people, the largest ethnolinguistic group of Ethiopia. Written Afan Oromo uses Latin alphabet and, the letters in the alphabet are represented with ASCII-8 or UTF-8 encodings. Moreover, the language uses gemination, and long vowels are represented by double letters. From information theoretic perspective, thi...
Article
In today’s data-driven world, time series forecasting is one of the intensively investigated temporal data mining technique. In practice, there are a range of forecasting techniques that are proven to be efficient at capturing different aspect of an input. For instance, classic linear forecasting models such as Seasonal Auto-Regressive Integrated M...
Article
The radio spectrum is a finite and scarce resource needed to transport data generated by existing and emerging wireless mobile networks and services. As the demand for wireless services is increasing, operators look for ways to efficiently utilize their assigned spectrum. While operators do regularly perform spectrum occupancy measurement using an...
Article
Widespread deployment of spectrally efficient mobile networks, advancements in mobile devices, and proliferation of attractive applications has led to an exponential increase in mobile data traffic. Mobile Network Operators (MNOs) benefit from the associated revenue generation while putting efforts to meet customers’ expectations of delivered servi...

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