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Ranking Protein-Protein Binding Using Evolutionary Information and Machine Learning
(Association for Computing Machinery, 2017)
Discriminating native-like complexes from false-positives with high accuracy is one of the biggest challenges in protein-protein docking. The relationship between various favorable intermolecular interactions (e.g. Van ...
Dark Patches in Clustering
(IEEE, 2017)
This survey highlights issues in clustering which hinder in achieving optimal solution or generates inconsistent outputs. We called such malignancies as dark patches. We focus on the issues relating to clustering rather ...
Assessment of Harmonic Distortion on Distribution Feeders with Electric Vehicles and Residential PVs
(IEEE, 2017)
Power-electronic interfacing based devices such as photovoltaic (PV) panels and electric vehicles (EVs) cause voltage/current harmonic distortions on the power grid. The harmonic current profiles from EVs and PVs depend ...
Power Control and Resource Allocation in TDD-OFDM Based Femtocell Networks with Interference
(IEEE, 2017)
Femtocell technology is a promising solution for different dilemmas in cellular networks. In femtocell power control the interference experienced by the network is divided into two main tiers according to the type of network ...
Factors That Influence Support and Enforcement of the Smoke-Free Law in Turkey
(Oxford University Press, 2016)
[Abstract Not Available]
In Silico Modeling of Dopamine Transporter and Design of Novel Neuroprotective Agents
(Amer Chemical Soc, 2016)
[Abstract Not Available]
Improving Item-Based Recommendation Accuracy with User's Preferences on Apache Mahout
(IEEE, 2016)
Recommendation systems play a critical role in the Information Science application domain especially in e-commerce ecosystems. In almost all recommender systems statistical methods and machine learning techniques are used ...
Weight Exchange in Distributed Learning
(IEEE, 2016)
Neural networks may allow different organisations to extract knowledge from the data they collect about a similar problem domain. Moreover learning algorithms usually benefit from being able to use more training instances. ...
Data Detection Based Iterative Channel Estimation for Coded SM-OFDM Systems
(IEEE, 2016)
The combination of spatial modulation (SM) and orthogonal frequency division multiplexing (OFDM) as SM-OFDM is a recently proposed efficient modulation scheme with exploiting the index of transmit antenna to convey information ...
Effect of Inter-Block-Interference-Free Region on Compressed Sensing Based Channel Estimation in TDS-OFDM Systems
(IEEE, 2016)
Time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) is the basis technology for digital television standard (DTV) employed in some countries thanks to its high spectral efficiency when compared ...