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Applied Intelligence （APIN） - February 2022, issue 3 论文列表

点击这里查看 Applied Intelligence 的JCR分区、影响因子等信息
卷期号： February 2022, issue 3
发布时间：
卷期年份： 2022
卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/52-3
本期论文列表
Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition

Deep neural networks for automatic grain-matrix segmentation in plane and cross-polarized sandstone photomicrographs

Predict industrial equipment failure with time windows and transfer learning

A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction

Pseudo-parallel chaotic self-learning antelope migration algorithm based on mobility models

A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus

Cross-modality person re-identification via channel-based partition network

C-CADZ: computational intelligence system for coronary artery disease detection using Z-Alizadeh Sani dataset

A new method for positive and unlabeled learning with privileged information

Predicting viewer’s watching behavior and live streaming content change for anchor recommendation

Finder: A novel approach of change point detection for multivariate time series

Formation control of multiple mecanum-wheeled mobile robots with physical constraints and uncertainties

Self attention mechanism of bidirectional information enhancement

Frequent itemset hiding revisited: pushing hiding constraints into mining

An efficient chaos based image encryption algorithm using enhanced thorp shuffle and chaotic convolution function

Multilayer neural network based asymptotic motion control of saturated uncertain robotic manipulators

Many-objective optimization for large-scale EVs charging and discharging schedules considering travel convenience

Context augmentation for object detection

Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm

A PL-MCDM Method based on the Decision-Making Reliability of Multi-Group for Patients with Chronic Diseases Requiring Downward Referral

Trustworthiness two-way games via margin policy in e-commerce platforms

An attention network via pronunciation, lexicon and syntax for humor recognition

An automatic hyperparameter optimization DNN model for precipitation prediction

Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems

Social velocity based spatio-temporal anomalous daily activity discovery of social media users

Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues

Real-time detector design for small targets based on bi-channel feature fusion mechanism

Infrared target tracking based on proximal robust principal component analysis method

Hybrid spatial-spectral feature in broad learning system for Hyperspectral image classification

Single image super-resolution using global enhanced upscale network

Multi-label classifier for protein sequence using heuristic-based deep convolution neural network

ADA-INCVAE: Improved data generation using variational autoencoder for imbalanced classification

A novel dynamic graph evolution network for salient object detection

Multilayer feature fusion with parallel convolutional block for fine-grained image classification

A few-shot transfer learning approach using text-label embedding with legal attributes for law article prediction

Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network

A new multi-feature fusion based convolutional neural network for facial expression recognition

PBDE: an effective post-processing method based on box density for object detection

Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems

Common-possible concept analysis: A granule description viewpoint

Cross-domain person re-identification by hybrid supervised and unsupervised learning

Explainable deep neural networks for novel viral genome prediction

Dynamic pedestrian trajectory forecasting with LSTM-based Delaunay triangulation

An adaptive parallel algorithm for finite language decomposition

An intelligent fault diagnosis method for rotating machinery based on data fusion and deep residual neural network

A novel dense capsule network based on dense capsule layers

Multi-stage attention and center triplet loss for person re-identication

MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification

OGM: Online gaussian graphical models on the fly

Unified model for collective and point anomaly detection using stacked temporal convolution networks