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[PDF] Top 20 Improved Landweber Algorithm Based on Correlation

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Improved Landweber Algorithm Based on Correlation

Improved Landweber Algorithm Based on Correlation

... improve Landweber algorithm based on data correlation ...a correlation coefficient can be ...the Landweber algorithm to improved image, we can get better imaging of ... See full document

10

Arrival Time Difference Estimation of Ultrasonic Signals from Partial Discharge in Electric Power Equipments

Arrival Time Difference Estimation of Ultrasonic Signals from Partial Discharge in Electric Power Equipments

... the correlation coefficient waveform comparison method, and improves the accuracy of the narrow-band signal time difference estimation, but its estimation accuracy is significantly reduced in the case of low SNR ... See full document

7

A fractal image compression algorithm based on improved imperialist competitive algorithm

A fractal image compression algorithm based on improved imperialist competitive algorithm

... their algorithm has a high speed, the retrieved image does not have enough ...is based on an elitism model. Elitism is a mechanism in GA based on which some suitable solutions are selected and ... See full document

41

An Improved SL0 Algorithm Based on the SESOP Method

An Improved SL0 Algorithm Based on the SESOP Method

... Among them, any subset of the three directions including the Nemirovski direction, the previous direction, and the previous gradient constitutes the subspace of the SESOP method together with the current gradient ... See full document

6

Improved  Leakage  Model  Based  on  Genetic  Algorithm

Improved Leakage Model Based on Genetic Algorithm

... As we suppose, leakage model of multi S-boxes is closer to actual power consumption. So, leakage model of 2 S-boxes is better than that of single S-box. We acquire 2000 traces power data from the IC card. ... See full document

13

Performance Analysis of Grey Level Fitting Mechanism based Gompertz Function for Image Reconstruction Algorithms in Electrical Capacitance Tomography Measurement System

Performance Analysis of Grey Level Fitting Mechanism based Gompertz Function for Image Reconstruction Algorithms in Electrical Capacitance Tomography Measurement System

... mechanism based on Gompertz function has been ...LPBG algorithm has been found to be the best overall in terms relative image error, distribution error and correlation coefficient, followed by ... See full document

6

A case retrieval algorithm based on correlation analysis

A case retrieval algorithm based on correlation analysis

... clustering algorithm are globular cluster clustering that effect on chosen of random initial value,the inconsistent selectionfor clustering initial value will result in that there is a big difference on ... See full document

8

Occluded Target Tracking Method Based on Multi feature JPDA

Occluded Target Tracking Method Based on Multi feature JPDA

... an improved occluded target tracking method based on JPDA (Joint Probability Data Association) based on the analysis of JPDA algorithm which is prone to misalignment when the target is ...The ... See full document

8

The Design of Cardiovascular Disease Information Acquisition System

The Design of Cardiovascular Disease Information Acquisition System

... the improved algorithm based on wavelet packet in this ...The improved algorithm combines multiresolution analysis (careful) ability to signal decomposition and the signal to the ... See full document

5

Simulation Studies on Image Reconstruction Algorithm for Portable Electrical Capacitance Tomography

Simulation Studies on Image Reconstruction Algorithm for Portable Electrical Capacitance Tomography

... LBP, Landweber and ...pipe. Based on the image analysis, Landweber algorithm shows the best results compared to others in terms of image accuracy, low percentage error and higher ... See full document

5

An Improved Collaborative Filtering Algorithm Based on RLPSO

An Improved Collaborative Filtering Algorithm Based on RLPSO

... proposed algorithm is improved compared with the original algorithm ...the algorithm based on the combination of temporal behavior and probability matrix ...The algorithm ... See full document

5

An improved density based k Means algorithm

An improved density based k Means algorithm

... clustering algorithm is a well-known partitioning type of clustering algorithm used across different domains due to its simplicity (Abubaker and Ashour, 2013), it is mostly used in scientific and industrial ... See full document

6

Improved Clustering Algorithm Based on Density Isoline

Improved Clustering Algorithm Based on Density Isoline

... new algorithm can not only make all the samples participate into clusters but also will not be affected by the shape of sample distribution and density ...new algorithm overcomes the drawbacks that ... See full document

8

Landweber iteration algorithm based on sensitivity updating strategy for electrical capacitance tomography

Landweber iteration algorithm based on sensitivity updating strategy for electrical capacitance tomography

... say, Landweber iterative algorithm. A modified Landweber iterative algorithm based on updated sensitivity matrix was presented in this ...image based on conventional ... See full document

7

An Efficient Multi-Objective Genetic Algorithm for Optimization of Task Scheduling in Cloud Computing

An Efficient Multi-Objective Genetic Algorithm for Optimization of Task Scheduling in Cloud Computing

... genetic algorithm in minimizing the makespan and cost of the processor and to find the best scheduling of jobs on the resources, MOGA (Multi-Objective genetic algorithm) is implemented on Intel core i3 ... See full document

13

PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON 
LRIC AND LOAD GROWTH CONTROL

PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL

... The research of Helsinki University break the bottleneck of the effective English text mining technique. By pre-doing the format conversion and uniform treatment to all text, it adopts corresponding module to mine them ... See full document

6

Index Terms - Kinect sensor; Target recognition and localization; Motion path planning; the robot NAO; Grasping target

Index Terms - Kinect sensor; Target recognition and localization; Motion path planning; the robot NAO; Grasping target

... Set the NAO robot stands for the initial state, the initial point coordinate information obtained by robot position sensors, as p0, at this point p0 = (0.0627, 0.115, 0.0627), p1 to target a certain position at the upper ... See full document

23

Network Hot Topic Discovery of Fuzzy Clustering Based on Improved Firefly Algorithm

Network Hot Topic Discovery of Fuzzy Clustering Based on Improved Firefly Algorithm

... DOI: 10.4236/jcc.2018.68001 12 Journal of Computer and Communications clustering to overcome the shortcomings of FCM algorithm that sensitive to the initial value. PSO can also overcome the shortcomings of FCM, ... See full document

14

Improved Bat Algorithm Based Clustering In WSN

Improved Bat Algorithm Based Clustering In WSN

...  Normalized Packet Loss Rate: The packet lost while transferring packets from one node to another is also an important factor in detection of congestion. The packets lost in the network are due to mainly two reasons, ... See full document

5

Comments on “A note on multi-objective improved teaching-learning based optimization algorithm (MO-ITLBO)”   Pages 179-190
		 Download PDF

Comments on “A note on multi-objective improved teaching-learning based optimization algorithm (MO-ITLBO)” Pages 179-190 Download PDF

...  Just for the sake of publication the authors must not resort to pessimistically persuade the readers. It is worth contemplating that, many papers may not be explicit, however, it is not justifiable to speculate upon or ... See full document

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