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Audio Based Violent Scene Classification Using Ensemble Learning
(2018)
In this paper, we deal with the problem of violent scene detection. Although visual signal has been widely used in detection of violent scenes from video data, audio modality; on the other hand, has not been explored as ...
Synthesis and characterization of new thiophenebenzimidazole-based electrochromes
(2018)
In the present study, two new donor-acceptor-donor-type molecules were synthesized and the electro-optical properties of the resulting monomers and their corresponding polymers were investigated. Thiophene was selected as ...
Simultaneous determination of copper(II) and zinc(II) via simple acid-base titrimetry using glass pH electrode
(2018)
The combination of potentiometric methods with multivariate calibration techniques allows complex mixtures to be analyzed. In this study, a new method was developed and reported for simultaneous determination of copper(II) ...
A COMPARATIVE STUDY OF THE CAPABILITY OF ALTERNATIVE MIXED INTEGER PROGRAMMING FORMULATIONS
(2018)
In selecting the best mixed integer linear programming (MILP) formulation the important issue is to figure out how to evaluate the performance of each candidate formulation in terms of selected criteria. The main objective ...
Smoothed one-core and core-multi-shell regular black holes
(2018)
We discuss the generic properties of a general, smoothly varying, spherically symmetric mass distribution D(r,theta), with no cosmological term (. is a length scale parameter). Observing these constraints, we show that ...
Optimization of the Factors That are Critical in External Surface Grinding of Roller Followers Using Design of Experiments
(2018)
In this study, it is aimed to experimentally optimize the parameters of the grinding of external surface of the roller followers which are used in internal combustion engines to operate the inlet and exhaust valves. 2k ...
Hydrogen Economy Model for Nearly Net-Zero Cities with Exergy Rationale and Energy-Water Nexus
(2018)
The energy base of urban settlements requires greater integration of renewable energy sources. This study presents a "hydrogen city" model with two cycles at the district and building levels. The main cycle comprises of ...
A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing
(2018)
Deep autoencoder neural networks have been widely used in several image classification and recognition problems, including hand-writing recognition, medical imaging, and face recognition. The overall performance of deep ...
Sparsity-driven weighted ensemble classifier
(2018)
In this study, a novel sparsity-driven weighted ensemble classifier (SDWEC) that improves classification accuracy and minimizes the number of classifiers is proposed. Using pre-trained classifiers, an ensemble in which ...
RmSAT-CFAR: Fast and accurate target detection in radar images
(2018)
As the first step of automatic image interpretation systems, automatic detection of the targets should be accurate and fast. Constant False Alarm Rate (CFAR) is the most popular target detection framework for Synthetic ...