0924-669X

Applied Intelligence （APIN） - September 2022, issue 11 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： September 2022, issue 11
发布时间：
卷期年份： 2022
卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/52-11
本期论文列表
SGCNet: Scale-aware and global contextual network for crowd counting

Empirical mode decomposition and convolutional neural network-based approach for diagnosing psychotic disorders from eeg signals

Spatio-temporal stacking model for skeleton-based action recognition

Competitive search algorithm: a new method for stochastic optimization

NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition

Learning bi-grained cross-correlation siamese networks for visual tracking

HRANet: Hierarchical region-aware network for crowd counting

An Inverted Residual based Lightweight Network for Object Detection in Sweeping Robots

Two-stage anomaly detection algorithm via dynamic community evolution in temporal graph

OBM-CNN: a new double-stream convolutional neural network for shield pattern segmentation in ancient oracle bones

Dual-attention guided multi-scale network for single image super-resolution

STGs: construct spatial and temporal graphs for citywide crowd flow prediction

Multi-object tracking based on network flow model and ORB feature

Cognitive fuzzy preference relations and its applications in decision-making

Wrapper feature selection with partially labeled data

Similarity-based second chance autoencoders for textual data

Word representation using refined contexts

A new mechanism of rule acquisition based on covering rough sets

Partial label learning with noisy side information

Web attack detection based on traps

Geometric algebra graph neural network for cross-domain few-shot classification

A multi-criteria decision-making model for hotel selection by online reviews: Considering the traveller types and the interdependencies among criteria

A comparative study of Chinese named entity recognition with different segment representations

Multimodal and multi-objective optimization algorithm based on two-stage search framework

An efficient discrete differential evolution algorithm based on community structure for influence maximization

SDA-Net: a detector for small, densely distributed, and arbitrary-directional ships in remote sensing images

Efficient photorealistic style transfer with multi-order image statistics

A training-free recursive multiresolution framework for diffeomorphic deformable image registration

SA-FPN: An effective feature pyramid network for crowded human detection

Coarse-fine point cloud registration based on local point-pair features and the iterative closest point algorithm

An improved Henry gas solubility optimization algorithm based on Lévy flight and Brown motion

Video-based vehicle re-identification via channel decomposition saliency region network

A hybrid salp swarm algorithm based on TLBO for reliability redundancy allocation problems

Many-objective optimization based path planning of multiple UAVs in oilfield inspection

Fast multi-view twin hypersphere support vector machine with consensus and complementary principles

CSA-GAN: Cyclic synthesized attention guided generative adversarial network for face synthesis

Semi-supervised node classification via graph learning convolutional neural network

Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.

A novel entity joint annotation relation extraction model

Hybrid handcrafted and learned feature framework for human action recognition

Broadcast news story segmentation using sticky hierarchical dirichlet process

Graph Neural Network with RNNs based trajectory prediction of dynamic agents for autonomous vehicle

Self-updating continual learning classification method based on artificial immune system

ARFP: A novel adaptive recursive feature pyramid for object detection in aerial images

Efficient channel expansion and pyramid depthwise-pointwise-depthwise neural networks

Investigating the multi-objective optimization of quality and efficiency using deep reinforcement learning

Self-adaptive DE algorithm without niching parameters for multi-modal optimization problems

Novel method for optimizing performance in resource constrained distributed data streams

Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function

Rethinking the framework constructed by counterfactual functional model