Titlebook: Artificial Intelligence Applications and Innovations; 20th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Antonios Papale Conference pr

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Gamified Crowd Management Utilizing AR and Computer Vision on the Edgehm and a prototype system for a museum exhibition which operates at the edge of the network utilizing the mobile devices as execution environments. As part of the prototype, we propose the integration of a series of serious games that are supplementary to the exhibits and have the goal of delaying t

设想

KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approachalance between data diversity and information preservation, KeepOriginalAugment enables models to leverage both diverse salient and non-salient regions, leading to enhanced performance. We explore three strategies for determining the placement of the salient region—minimum, maximum, or random—and in

该得

Using DCGANs and HOG + Patch-Based CNN for Face Spoofing Mitigation biometric samples. We then proposed a HOG + Patch-based CNN structure for spoofing mitigation on the generated spoofing datasets. Our proposed CNN model outperforms notable VGG-16 and ResNet-50 models in classification and verification accuracies on our spoofing dataset.

PATHY

bromide

A Machine Learning Approach for Points of Interest Extraction and Event Classificationsion of routine predictions but also enhances the adaptability of the system to changes in mobility behavior over time. The incorporation of a cognitive module, based on Dynamic Neural Fields (DNF), further allows for personalized predictions regarding the timing, duration, and nature of trips. Vali

OCTO

Controlling Popularity Bias in Sequential Recommendation Models prioritizes being most correct rather than trying to find a truly fitting recommendation. Popularity bias is a main cause of echo chambers within the current media landscape, which unfortunately has led to less critical thinking and more divisiveness our communities. To counter this issue, we prese