DEEPFAKE GENERATION AND DETECTION: CASE STUDY AND CHALLENGES

Deepfake Generation and Detection: Case Study and Challenges

In smart communities, social media allowed users easy access to multimedia content.With recent advancements in computer vision and natural language processing, machine learning (ML), and deep learning (DL) models have evolved.With advancements in generative adversarial networks (GAN), it has become possible to create fake images/audio/and video str

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Decision Rules Derived from Optimal Decision Trees with Hypotheses

Conventional decision trees use queries each of which is based on one attribute.In this study, we also examine decision trees that handle additional queries based on hypotheses.This kind of query is similar to the equivalence queries considered in exact learning.Earlier, we designed dynamic programming algorithms for the computation of the minimum

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Gastrointestinal Helminthofauna of Mediterranean Elasmobranchs

Elasmobranchs (Chondrichthyes, Elasmobranchii) are exposed to a variety of gastrointestinal parasites acquired through the ingestion of infected prey.An increasing amount of evidence suggests the usefulness of parasitological information to elucidate aspects of the biology and ecology of sharks and rays, to inform the correct management and conserv

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