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Search results for: neural network
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... a three-layer feed-forward Artificial microcalcifications where a microcalcification's length is Neural Network (FFNN). The classifier reached the ... Clusters", IEEE Transactions on mathematical morphology and neural networks", Signal Processing, Biomedical Engineering, vol ... 62, no. 4, pp. 1203 – 1214, 2015. vol. 87, no. ...
Year: 2019, Volume: 19, Number: 4
... and fourth-order I. INTRODUCTION cumulants, combined with artificial neural networks, in the Wireless signal recognition mainly includes ... presence of additive white Gaussian noise with a signal-to- recognition and wireless technology recognition, which has noise ratio ... . In the case of known channel tree and neural network [16] -[ 17] classifier are ...
Year: 2019, Volume: 19, Number: 4
... Engineering Volume 19, Number 4, 2019 Hybrid Artificial Neural Network by Using Differential Search Algorithm for Solving Power ... order to use numerical methods, it is required neural networks, optimization, power system analysis to determine and ... an initial point for considered computing. solution set which needs to be close to global minimum point due to ...
Year: 2019, Volume: 19, Number: 4
... , pp. 452-454, August 2006. doi: neural network for forecasting electricity demand," Energies, ... the stated problem are explained. Design of the matching networks For a dual band operation matching network design with ... Volume 19, Number 4, 2019 Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm Sadık ÜLKER Electrical ...
75. Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
Year: 2020, Volume: 20, Number: 2
... vector machine is determined as the polynomial regression, artificial neural networks, Support most successful technique. Then, ... model is tested on the experimental setup developed within the scope of the study, Vector Machines (SVM) ... , particularly in microcontroller- communication using the IEEE 802.15.4 network protocol. based applications. With 128-bit encryption, ...
76. Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory
Year: 2020, Volume: 20, Number: 2
... signal processor-DS1102 control Recently, the intelligence algorithms as artificial neural board. The simulation and experimental results of the ... (ANN), fuzzy logic have been employed [16-18]. proposed sensorless scheme demonstrate the accurate In ... ," IEEE switch-based switched reluctance motor drive using neural network," Transactions Power Electronics, vol. 34 ...
Year: 2020, Volume: 20, Number: 2
... Computer Engineering Volume 20, Number 2, 2020 Convolutional Neural Network Based Prediction of Conversion from Mild Cognitive Impairment ... neuroimaging modalities that use nuclear Index Terms — artificial neural networks, computer aided medicine injected in patient's body to ... the disease. diagnosis, image analysis, image classification, pattern These procedures are time consuming, expensive and ...
78. Generation of Visual Patterns from BoVW for Image Retrieval using modified Similarity Score Fusion
Year: 2020, Volume: 20, Number: 2
... . This is done by category using VPs, the Neural Network is involved for determining the highest feature vectors ... if fvij  t2 *val fvij (3) Networks provide a solution for non-linear problems and it performs ... learning, i.e. it has the ability to self-learn catc   0, otherwise about a specified task ...
Year: 2020, Volume: 20, Number: 2
... and textural Watershed applied on Euclidean distance map features were used as input to the neural network from the mask for segmentation for segmentation Minervini, Giffrida, Perata Convert ... image to log-polar representation; K-means technique for finding binary mask and and Tsaftaris [19]& patches are extracted, K-means is applied for fed as input to ...
Year: 2020, Volume: 20, Number: 2
... keywords could always not by using Bandelet transformation, artificial neural network, be selected correctly since human perception varied ... "Content and context based image retrieval classification based on firefly-neural network," Multimedia set of properties, in ... doi:10.1109/ACCESS.2016.2548664 image retrieval using embedded neural networks with bandletized [31] J. T. Tsai ...
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