Zobrazeno 1 - 10
of 397
pro vyhledávání: '"Shami, Abdallah"'
Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection
Autor:
Yang, Li, Shami, Abdallah
The rapid evolution of mobile networks from 5G to 6G has necessitated the development of autonomous network management systems, such as Zero-Touch Networks (ZTNs). However, the increased complexity and automation of these networks have also escalated
Externí odkaz:
http://arxiv.org/abs/2409.03141
Autonomous Vehicles (AVs), furnished with sensors capable of capturing essential vehicle dynamics such as speed, acceleration, and precise location, possess the capacity to execute intelligent maneuvers, including lane changes, in anticipation of app
Externí odkaz:
http://arxiv.org/abs/2406.18741
Vibrations of damaged bearings are manifested as modulations in the amplitude of the generated vibration signal, making envelope analysis an effective approach for discriminating between healthy and abnormal vibration patterns. Motivated by this, we
Externí odkaz:
http://arxiv.org/abs/2405.08919
As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML models can enhance cybersecurity, their high energy and resource demand
Externí odkaz:
http://arxiv.org/abs/2404.16894
Unmanned Aerial Vehicles (UAVs) will be critical infrastructural components of future smart cities. In order to operate efficiently, UAV reliability must be ensured by constant monitoring for faults and failures. To this end, the work presented in th
Externí odkaz:
http://arxiv.org/abs/2404.15880
Large language models (LLMs) are rapidly emerging in Artificial Intelligence (AI) applications, especially in the fields of natural language processing and generative AI. Not limited to text generation applications, these models inherently possess th
Externí odkaz:
http://arxiv.org/abs/2404.15869
Recent advancements in sensing, measurement, and computing technologies have significantly expanded the potential for signal-based applications, leveraging the synergy between signal processing and Machine Learning (ML) to improve both performance an
Externí odkaz:
http://arxiv.org/abs/2403.17181
Experimentation in practical, end-to-end (E2E) next-generation networks deployments is becoming increasingly prevalent and significant in the realm of modern networking and wireless communications research. The prevalence of fifth-generation technolo
Externí odkaz:
http://arxiv.org/abs/2403.15376
Autor:
Shaer, Ibrahim, Shami, Abdallah
Cyber-security attacks pose a significant threat to the operation of autonomous systems. Particularly impacted are the Heating, Ventilation, and Air Conditioning (HVAC) systems in smart buildings, which depend on data gathered by sensors and Machine
Externí odkaz:
http://arxiv.org/abs/2403.13023
The hyper-parameter optimization (HPO) process is imperative for finding the best-performing Convolutional Neural Networks (CNNs). The automation process of HPO is characterized by its sizable computational footprint and its lack of transparency; bot
Externí odkaz:
http://arxiv.org/abs/2403.12237