Titlebook: Information and Communication Technologies; 11th Ecuadorian Conf Jorge Maldonado-Mahauad,Jorge Herrera-Tapia,Santia Conference proceedings

HARDY

書目名稱Information and Communication Technologies影響因子(影響力)




書目名稱Information and Communication Technologies影響因子(影響力)學(xué)科排名




書目名稱Information and Communication Technologies網(wǎng)絡(luò)公開度




書目名稱Information and Communication Technologies網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Information and Communication Technologies被引頻次




書目名稱Information and Communication Technologies被引頻次學(xué)科排名




書目名稱Information and Communication Technologies年度引用




書目名稱Information and Communication Technologies年度引用學(xué)科排名




書目名稱Information and Communication Technologies讀者反饋




書目名稱Information and Communication Technologies讀者反饋學(xué)科排名

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自作多情

erythema

Machine Learning Applied to?the?Analysis of?Glacier Massesn having a substantial effect on glacier mass balance, as confirmed by the forecast results. This study emphasizes the importance of machine learning to improve our understanding of glacier dynamics and support informed decision-making in the face of climate change. Collecting additional specific da

Trabeculoplasty

Profit vs Accuracy: Balancing the?Impact on?Users Introduced by?Profit-Aware Recommender Systemse-ranked. Experiments showed that MARS models have the ability to control the impact on the user while increasing the profit by varying the weights associated to the considered attributes. It is important to notice that the training of the model can be parallelized; thus, the weights and results may

Platelet

Augmenting Data with?DCGANs to?Improve Skin Lesions Classificationt to improve the final performance of the classification network for skin lesions. The achieved results were compared with the classification of the original data. They showed that the augmentation of images generated by the DCGAN improves the network’s performance for the classification task.

帶子

Unraveling the?Power of?4D Residual Blocks and?Transfer Learning in?Violence Detectionetter feature propagation and improved performance. In this work, we propose using 4D residual blocks and MoViNets for violence detection on the data set RWF-2000 to achieve state-of-the-art results in action recognition. Furthermore, this approach compares the strengths of MoViNet and V4D, resultin

等級的上升

granite

Advanced Metrics to Evaluate Autistic Children’s Attention and Emotions from Facial Characteristics assical observational techniques. Part of the analysis will also consist of comparing the results of the videos taken from different reference points of the robot, such as from the head and bust. As a result of the trial-error follow-up, the comparative analysis between automatic and observational t

猛烈責(zé)罵

Performance Analysis of You Only Look Once, RetinaNet, and Single Shot Detector Applied to Vehicle Dlts indicated that YOLOv8 (which has undergone the most adjustments since its inception) exhibits the best performance in terms of detection time, precision considering the frames that need to be analyzed to enable real-time usage, and ease of implementation.