Artificial intelligence systems are increasingly being used in industrial applications, security
and military contexts, disaster response complexes, policing and justice practices, finance …

As the machine learning-related technology has made great progress in recent years, deep
neural networks are widely used in many scenarios, including security-critical ones, which …

With significant potential improvement in device-to-device (D2D) communication due to
improved wireless link capacity (eg, 5G and NextG systems), a collaboration of multiple …

Owing to their remarkable learning capabilities and performance in real-world applications,
the use of machine learning systems based on Neural Networks (NNs) has been …

Over the eight months since its release, ChatGPT and its underlying model, GPT3. 5, have
garnered massive attention, due to their potent mix of capability and accessibility. While a …

Abstract As the Internet of Things (IoT) networks expand globally with an annual increase of
connected devices, providing better privacy and security to threats is becoming more …

With the growing demand for real-time intelligence driven by device-to-device (D2D)
communication, deploying Deep Learning (DL) applications at the network edge becomes …

Artificial intelligence systems are increasingly used in security-critical applications with
limited computing resources, which makes them vulnerable to such disturbances as …

In the current era of the cyber space or cyber world, threats are the most difficult thing to
handle in which we have to maintain and manage the cyber security system to not get …

МІНІСТЕРСТВО ОСВІТИ І НАУКИ УКРАЇНИ Сумський державний університет Ф Page 1
МІНІСТЕРСТВО ОСВІТИ І НАУКИ УКРАЇНИ Сумський державний університет Факультет …