METHODOLOGICAL APPROACH FOR IDENTIFYING WEBSITES WITH INFRINGING CONTENT VIA TEXT TRANSFORMERS AND DENSE NEURAL NETWORKS

Methodological Approach for Identifying Websites with Infringing Content via Text Transformers and Dense Neural Networks

The rapid evolution of the Internet of Everything (IoE) has significantly enhanced global connectivity and multimedia content sharing, simultaneously escalating the unauthorized distribution of multimedia content, posing risks to intellectual property rights.In 2022 alone, about 130 billion accesses to potentially non-compliant WHEY PROTEIN WATERME

read more

The impact of different plant extracts on population suppression of Helicoverpa armigera (Hub.) and tomato (Lycopersicon esculentum Mill) yield under field conditions.

Helicoverpa armigera (Hub.) is a destructive pest of the tomato (Lycopersicon esculentum Mill) crop in Pakistan.Although insecticides are the primary management strategy used to control H.armigera, most of them are not effective due to considerable toxic residual effects on the fruits.Nonetheless, H.armigera is Gift Cards and Tags rapidly evolving

read more

Immunology and Genetic of Preeclampsia

Preeclampsia is a disease characterized by hypertension and proteinuria in the third trimester of pregnancy.Preeclampsia is a major cause of maternal mortality, and fetal death, especially in developing countries, but its aetiology remains unclear.Key findings support a causal role Honey of superficial placentation driven by immune mal maladaptatio

read more


EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting

We present automatically parameterised Fully Homomorphic Encryption (FHE) for encrypted neural network inference and exemplify our inference over 3 Piece Cal King Bed FHE-compatible neural networks with our own open-source framework and reproducible examples.We use the fourth generation Cheon, Kim, Kim, and Song (CKKS) FHE scheme over fixed points

read more