Results 221 to 230 of about 24,747,750 (286)

Epiphora: A Structured Diagnostic Approach for the Otolaryngologist

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Introduction Epiphora, or excessive tearing, has historically been predominantly managed by ophthalmologists. However, as there is substantial overlap between ophthalmic and otolaryngologic anatomy and pathology that may contribute to epiphora, patients with this symptom often present to otolaryngologists as well.
Luke M. O'Neil, Sam Kushner‐Lenhoff, Alexandra Van Brummen, Christopher Chambers, Hector Perez, Ashton E. Lehmann, Matthew M. Zhang, Aria Jafari   +7 more
wiley   +1 more source

Resilient fractional order sliding mode control for islanded microgrids under cyber-physical attacks. [PDF]

Sci Rep
Ibraheem MI, Edrisi M, Alhelou HH, Gholipour M, Al-Hinai A.   +4 more
europepmc   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures. [PDF]

Sci Rep
Du J.
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

MM-NIDS: A Novel Multimodal Ensemble Fusion Network Intrusion Detection System Using Numeric, Text, Graph, and Quantum Representations. [PDF]

Sensors (Basel)
AboulEla S, Kashef R.
europepmc   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li, Kaibo Shi, Yue Yu, Xiangkun Wang, Ming Zhu, Xiao Cai   +5 more
wiley   +1 more source

Secure IIoT architecture with blockchain-enabled anomaly detection for water distribution cyber-physical systems. [PDF]

Sci Rep
Salam A, Shakir AT, Javaid Q, Masini BM, Ahmad M, Wahid I.   +5 more
europepmc   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source