MaTED
Due to its asynchronous message-sharing and real-time capabilities, Twitter offers a valuable opportunity to detect events in a timely manner. Existing approaches […]
Privacy preserving sentiment analysis on multiple edge data streams with Apache NiFi
Sentiment analysis, also known as opinion mining, plays a big role in both private and public sector Business Intelligence (BI); it attempts […]
Mining Security discussions in Suomi24
This study examines how social network based approach can be applied in order to mine the security oriented discussions in Suomi24 online […]
Crime Prediction Using Hotel Reviews?
Can hotel reviews be used as a proxy for predicting crime hotspots? Domain knowledge indicates that hotels are crime attractors, and therefore, […]
Link-Level Throughput Maximization Using Deep Reinforcement Learning
A multi-agent deep reinforcement learning framework is proposed to address link level throughput maximization by power allocation and modulation and coding scheme […]
Wireless Traffic Usage Forecasting Using Real Enterprise Network Data
Wireless traffic usage forecasting methods can help to facilitate proactive resource allocation solutions in cloud managed wireless networks. In this paper, we […]
Noncoherent Joint Transmission Beamforming for Dense Small Cell Networks
We investigate the coordinated multi-point noncoherent joint transmission (JT) in dense small cell networks. The goal is to design beamforming vectors for […]
Bursting through the blocks in the human mind
Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital
Emerging healthcare radio technologies are designed to operate in the 2:4GHz industrial, scientific and medical (ISM) band. Since both standardized (Bluetooth and […]
Crowd-powered creativity support systems
Crowdsourcing has great potential in supporting humans to be more creative. This doctoral dissertation explores crowd-powered creativity support systems and covers a […]