Research on network intrusion detection based on fusion Transformer and Inception
Aiming at the insufficient capability of current intrusion detection models in extracting information from traffic features and their low detection efficiency, an intrusion detection method named T-DIPSA-FRAM was proposed, which integrates a feature pre ...
Zhang Wanqi, Wang Jiaxing, Song Zhenfeng
doaj
Research on real-time detection of radiotherapy setup errors and intelligent quality control methods based on artificial intelligence and big data. [PDF]
Lin W +5 more
europepmc +1 more source
A fault-tolerant sins/dual 2D-LDV tightly coupled integration scheme for autonomous vehicle navigation. [PDF]
Xiang Z, Wang Q, Jin S, Nie X, Zhou J.
europepmc +1 more source
Hybrid PCA-Based and Machine Learning Approaches for Signal-Based Interference Detection and Anomaly Classification Under Synthetic Data Conditions. [PDF]
Čikovský S, Šváb P, Hanák P.
europepmc +1 more source
AudioUnlock: Device-to-Device Authentication via Acoustic Signatures and One-Class Classifiers. [PDF]
Anistoroaei A +4 more
europepmc +1 more source
A new hybrid model for improving outlier detection using combined autoencoder and variational autoencoder. [PDF]
Daoud AM, Elkomy OM, Khedr WI, Hosny KM.
europepmc +1 more source
Development of Hourly Resolution Air Temperature Across Titicaca Lake on Auxiliary ERA5 Variables and Machine Learning-Based Gap-Filling. [PDF]
Sirpa-Poma JW +9 more
europepmc +1 more source
Fault detection for Li-ion batteries of electric vehicles with feature-augmented attentional autoencoder. [PDF]
Fan Y +6 more
europepmc +1 more source
A machine-learning clustering approach for reference interval estimation of liver enzymes from hospital laboratory big-data. [PDF]
Dash P, Nayak S.
europepmc +1 more source
Anomaly detection of hyperspectral images based on improved isolation forest algorithm. [PDF]
Li A.
europepmc +1 more source

