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Toplam kayıt 9, listelenen: 1-9
Novel hybrid pair recommendations based on a large-scale comparative study of concept drift detection
(Elsevier Science, 2021)
During the classification of streaming data, changes in the underlying distribution make formerly learned models insecure and imprecise, which is known as the concept drift phenomenon. Online learning derives information ...
Ground plane design configuration estimation of 4.9 GHz reconfigurable monopole antenna for desired radiation features using artificial neural network
(Wiley, 2021)
This paper presents a system based on artificial neural network (ANN) that predicts ground plane design for desired radiation properties of a monopole antenna with operation band of 4.8 to 5 GHz. The operating frequency ...
MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery
(Oxford University Press, 2021)
Motivation: Identification of interactions between bioactive small molecules and target proteins is crucial for novel drug discovery, drug repurposing and uncovering off-target effects. Due to the tremendous size of the ...
Transfer learning to detect neonatal seizure from electroencephalography signals
(Springer, 2021)
This paper offers a solution to the problem of detecting neonatal seizures via a transfer learning technique that judiciously reconstructs pre-trained deep convolution neural networks (p-DCNN), including alexnet, resnet18, ...
The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system
(Elsevier, 2021)
With the fourth industrial revolution, which has become increasingly widespread in the manufacturing industry, traditional maintenance has been replaced by the industrial internet of things (IIoT) based on condition ...
A compact triband antipodal Vivaldi antenna with frequency selective surface inspired director for IoT/WLAN applications
(Springer, 2021)
In this paper, an antipodal triband Vivaldi antenna operating in 2.4/5.2/5.8 GHz bands has been presented for WLAN/IoT applications. The proposed antipodal Vivaldi antenna has meander line shaped slotted lines, which are ...
Location selection by multi-criteria decision-making methods based on objective and subjective weightings
(Springer, 2021)
The location selection is a strategic decision that significantly influences revenue, level of competition, and success of companies and countries. This study aims to propose a hybrid approach for the location selection, ...
Multihop routing with static and distributed clustering in WSNs
(Springer, 2021)
Nowadays, Wireless Sensor Networks are one of the fundamental infrastructures for IoT technology. Although WSN has been researched for a decade, providing energy efficiency for resource-constrained sensor nodes is still a ...
A Hybrid Dimension Reduction Based Linear Discriminant Analysis for Classification of High-Dimensional Data
(Institute of Electrical and Electronics Engineers Inc., 2021)
Linear discriminant analysis (LDA) is a notable classification algorithm thanks to its major success in many applications of the real-world. In spite of its successfulness for low-dimensional data, a dimension reduction ...