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Bitcoin Forecasting Using ARIMA and PROPHET
(IEEE, 2018)
This paper presents all studies methodology and results about Bitcoin forecasting with PROPHET and ARIMA methods using R analytics platform. To find the most accurate forecast model the performance metrics of PROPHET and ...
Unconditional maximum likelihood approach for localization of near-field sources in 3-D space
(IEEE, 2004)
Since maximum likelihood (ML) approaches have better resolution performance than the conventional localization methods in the presence of less number and highly correlated source signal samples and low signal to noise ...
Two-layer earth structure parameter estimation and seasonal analysis
(IEEE, 2018)
The determination of soil parameters is an important topic regarding the safe and efficient design of electrical grounding systems as well as the accurate calculation of the per-unit-length parameters of overhead transmission ...
Surgical treatment of tachyarrhythmias due to postinfarction left ventricular aneurysm with endoaneurysmorrhaphy and cryoablation
(Elsevier Science Bv, 2002)
Objective: In this study the efficacy of left ventricular (LV) endoaneurysmorrhaphy and cryoablation without intraoperative electrophysiologic mapping was evaluated in patients with postinfarction LV aneurysm and sustained ...
Importance of Regional Differences in Brain Throughout Aging for Down Syndrome
(Association for Computing Machinery, 2018)
Down syndrome (DS) which affects approximately one in 700 live births is caused by an extra copy of the long arm of human chromosome 21 (HSA21). Statistical analysis has been done for understanding the protein expression ...
A Recommender Model Based on Trust Value and Time Decay Improve the Quality of Product Rating Score in E-commerce Platforms
(IEEE, 2017)
Most of the existing products rating score algorithms do not take fake accounts and time decay of users' ratings into account when creating the list of recommendations. The trust values and the time decay of users' ratings ...
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 ...