INTERNET OF THINGS SMART BEEHIVE NETWORK: HOMOGENEOUS DATA, MODELING, AND FORECASTING THE HONEY ROBBING PHENOMENON

Internet of Things Smart Beehive Network: Homogeneous Data, Modeling, and Forecasting the Honey Robbing Phenomenon

The role of experimental data and the use of IoT-based monitoring systems are gaining broader significance in research on bees across several aspects: bees as global pollinators, as biosensors, and as examples of Wall Decal swarm intelligence.This increases the demands on monitoring systems to obtain homogeneous, continuous, and standardized experi

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Domain-Generalized EEG Classification With Category-Oriented Feature Decorrelation and Cross-View Consistency Learning

Generalizing the electroencephalogram (EEG) decoding methods to unseen subjects is an important research direction for realizing practical application of brain-computer interfaces (BCIs).Since distribution shifts across subjects, the performance of most current deep neural networks for decoding EEG signals degrades when dealing with unseen subjects

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Detection of clfA, clfB and coa genes in Methicillin-Resistant Staphylococcus aureus (MRSA) isolated from Nasal Cavity of Cows, Buffalo and their Breeders in Nineveh Governorate, Iaq

The present study aimed to isolate and identify Methicillin-Resistant Staphylococcus aureus MRSA from the nasal cavity Upholstered Stool of healthy cows and buffaloes and their breeders in Nineveh Governorate and detect some virulence factors by using molecular methods.A total of 150 samples of cotton swabs were collected randomly from different ar

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