Titlebook: Artificial Intelligence: Theories and Applications; First International Mohammed Salem,Juan Julián Merelo,Fatima Debbat Conference proceed

Inflamed

Walter Geisselhardt,Michael Trautwein the regions of interest. To evaluate the proposed approach, the detection process is tested on the skin lesion images (melanoma, nevus) from MED-NODE and Atlas (dermIS, dermQUST) databases. The obtained qualitative and statistical results demonstrate the superiority of the proposed detector.

含糊

GROWL

An Optimized MSER Using Bat Algorithm for?Skin Lesion Detection the regions of interest. To evaluate the proposed approach, the detection process is tested on the skin lesion images (melanoma, nevus) from MED-NODE and Atlas (dermIS, dermQUST) databases. The obtained qualitative and statistical results demonstrate the superiority of the proposed detector.

排斥

https://doi.org/10.1007/978-3-658-29520-2 extracting multiscale features from multiple convolutional layers. Secondly, the features extracted from the convolutional layers are fused to generate more robust representations for efficient image retrieval. The experiments on the CIFAR10 and NUS-WIDE datasets show the superiority of our method.

Expediency

https://doi.org/10.1007/978-3-642-84136-1 proposed approach are evaluated and compared with other algorithms developed to solve the same problem. The results show a clear superiority of our proposal against the other in terms of execution time and result quality.

Delectable

Adrenaline

Deadpan

https://doi.org/10.1007/978-3-658-29520-2ording the k-fold-cross-validation strategy. The performance of the proposed approach is evaluated, and several experiments are carried using four performance indices (SRCC, PCC, KROCC and RMSE). The results achieve superior performance to state-of-the-art methods in predicting the perceptual quality of SCIs.

artifice

,Verfügbarkeit fehlertoleranter Systeme,d and compared on our document image dataset that we built from document images presenting different challenges, categories, complexity levels and degradation kinds. The experimental results carried out are encouraging and confirmed the superiority of our approach compared to more than sixteen existing approaches with and without learning.

Wallow

,Fehlertolerantes Pr?zisionsfügen,red approach of the GRASP meta-heuristic (Greedy Randomized Adaptive Search Procedure) and going to compare the results with the Pareto front’s solution under the LCE (leave copy everywhere) placement strategy to find the set of optimal cache distributions.