The information available to users is overwhelming in today’s world. Therefore, it is essential to filter and convey only the essential information in a personalized fash[...]

The Edge computing paradigm seeks to bring Cloud-like compute capabilities close to the Edge of the network, next to where the data is generated, so as to minimize the da[...]

Field Programmable Gate Array (FPGA) is becoming a preferred platform for the high-performance computing community because of the flexibility to adapt to new computing ch[...]

The increased size of data sets is driving the need for increased memory storage andspeed. Persistent memory, PMEM, has emerged as a new solution to the problem. It place[...]

Wireless sensor networks are widely used in many application domains in recent years. Data collection is a fundamental function provided by wireless sensor networks. How [...]

Recent growth and development of big social media platforms like Twitter, Facebook,Instagram etc. and personal blog sites generate huge amount of unstructured data. Analy[...]

How a person interprets music and what prompts a person to feel certain emotions are two very subjective things. This dissertation presents a method where a system can le[...]

Traditional Information Retrieval systems present with vast, relevant information as a response to the user search query, which usually consists of different semantic gro[...]

Social networking sites have experienced an explosion in both the number of users and the amount of shared information in recent years. Thanks to the positioning functio[...]

In this master thesis, recurrent neural network based method for visual track-ing in videos is introduced that learns to predict the bounding box locations of atarget obj[...]