MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification

Input-to-state stability of impulsive reaction–diffusion neural networks with infinite distributed delays

(2021) Tengda Wei et al.   NONLINEAR DYNAMICS

Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder

(2021) Yihui Xiong et al.   Mathematical Geosciences

Shared Spectrum Monitoring Using Deep Learning

(2021) Farrukh Aziz Bhatti et al.   IEEE Transactions on Cognitive Communications and Networking

FM Broadcast Monitoring Using Artificial Intelligence

(2020) M. Huang et al.   RADIO SCIENCE

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

(2020) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Unauthorized Broadcasting Identification: A Deep LSTM Recurrent Learning Approach

(2020) Jitong Ma et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

State and parameter joint estimation of linear stochastic systems in presence of faults and non‐Gaussian noises

(2020) Vladimir Stojanovic et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Fast detection and DOA estimation of the unknown wideband signal sources

(2019) Bülent Bilgehan et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

EEG Decoding Reveals the Strength and Temporal Dynamics of Goal-Relevant Representations

(2019) Jason Hubbard et al.   Scientific Reports

Enhancement of Deep Learning in Image Classification Performance Using Xception with the Swish Activation Function for Colorectal Polyp Preliminary Screening

(2019) Natinai Jinsakul et al.   Mathematics

An incipient fault detection approach via detrending and denoising

(2018) Zhangming He et al.   CONTROL ENGINEERING PRACTICE

Multi-Dimensional Sparse Models

(2018) Na Qi et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Outlier detection using linguistically quantified statements

(2018) A. Duraj et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems

(2018) Yingjie Tian et al.   NEUROCOMPUTING

Efficient Training for Positive Unlabeled Learning

(2018)   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Detection of outlier information by the use of linguistic summaries based on classic and interval-valued fuzzy sets

(2018) Agnieszka Duraj et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Sequential Outlier Detection Based on Incremental Decision Trees

(2018) Kaan Gokcesu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices

(2017) Mostafa Rahmani et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Exponentially Weighted Ellipsoidal Model for Anomaly Detection

(2017) M. Moshtaghi et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

k -means clustering with outlier removal

(2017) Guojun Gan et al.   PATTERN RECOGNITION LETTERS

State of the Art and Challenges of Radio Spectrum Monitoring in China

(2017) Q. N. Lu et al.   RADIO SCIENCE

Manifold Partition Discriminant Analysis

(2017) Yang Zhou et al.   IEEE Transactions on Cybernetics

Stacked Convolutional Denoising Auto-Encoders for Feature Representation

(2017) Bo Du et al.   IEEE Transactions on Cybernetics

Why Deep Learning Works: A Manifold Disentanglement Perspective

(2016) Pratik Prabhanjan Brahma et al.   IEEE Transactions on Neural Networks and Learning Systems

A cloud-based approach to spectrum monitoring

(2015) Todor Cooklev et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

Manifold Reconstruction Using Tangential Delaunay Complexes

(2013) Jean-Daniel Boissonnat et al.   DISCRETE & COMPUTATIONAL GEOMETRY