Results 51 to 60 of about 21,160 (284)
THE UTILIZATION OF MACHINE LEARNING FOR NETWORK INTRUSION DETECTION SYSTEMS
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ŚrodowiskaThis study investigates the integration of Multilayer Perceptron (MLP) architecture in Network Intrusion Detection Systems (NIDS) to strengthen cyber defences against evolving threats.
Ahmad Sanmorino +2 more
doaj +1 more source
Meta-Heuristic Optimization Methods for Quaternion-Valued Neural Networks
Mathematics, 2021 In recent years, real-valued neural networks have demonstrated promising, and often striking, results across a broad range of domains. This has driven a surge of applications utilizing high-dimensional datasets.
Jeremiah Bill +3 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Probabilistic Multilayer Perceptrons for Wind Farm Condition Monitoring
Wind EnergyWe provide a condition monitoring system for wind farms, based on normal behaviour modelling using a probabilistic multilayer perceptron with transfer learning via fine‐tuning.
Filippo Fiocchi +2 more
doaj +1 more source
SS-MLP: A Novel Spectral-Spatial MLP Architecture for Hyperspectral Image Classification
Remote Sensing, 2021 Convolutional neural networks (CNNs) are the go-to model for hyperspectral image (HSI) classification because of the excellent locally contextual modeling ability that is beneficial to spatial and spectral feature extraction. However, CNNs with a limited
Zhe Meng, Feng Zhao, Miaomiao Liang
doaj +1 more source
Myoelectric Control of Artificial Limb Inspired by Quantum Information Processing
, 2014 Precise and elegant coordination of a prosthesis across many degrees of freedom represents a significant challenge to efficient rehabilitation of people with limb deficiency.
Jiang, Ning, Siomau, Michael
core +1 more source
Advanced Materials Technologies, EarlyView.Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen +3 more
wiley +1 more source
Depth Classification of Defects Based on Neural Architecture Search
IEEE Access, 2021 As an important part of non-destructive testing, infrared thermography testing is widely used in various fields of industrial development for monitoring the quality of metal parts. Considering the problem of low detection rate of surface defects on steel
Haoze Chen +8 more
doaj +1 more source
Faster Training in Nonlinear ICA using MISEP [PDF]
, 2002 MISEP has been proposed as a generalization of the INFOMAX method in two directions: (1) handling of nonlinear mixtures, and (2) learning the nonlinearities to be used at the outputs, making the method suitable to the separation of components with a wide
Almeida, Luis B.
core
The Cavity Approach to Noisy Learning in Nonlinear Perceptrons
, 2001 We analyze the learning of noisy teacher-generated examples by nonlinear and differentiable student perceptrons using the cavity method. The generic activation of an example is a function of the cavity activation of the example, which is its activation ...
Luo, Peixun, Wong, K. Y. Michael
core +2 more sources