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Applied Intelligence （APIN） - July 2022, issue 9 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： July 2022, issue 9
发布时间：
卷期年份： 2022
卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/52-9
本期论文列表
Local community detection with hints

Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks

Local feature extraction network with high correspondences for 3d point cloud registration

Abstractive document summarization via multi-template decoding

COVID-CT-Mask-Net: prediction of COVID-19 from CT scans using regional features

Rescuing emergency cases of COVID-19 patients: An intelligent real-time MSC transfusion framework based on multicriteria decision-making methods

Enhancing cooperation by cognition differences and consistent representation in multi-agent reinforcement learning

A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification

Semi-supervised nonnegative matrix factorization with positive and negative label propagations

A novel method to rank fuzzy numbers using the developed golden rule representative value

A tree-based stacking ensemble technique with feature selection for network intrusion detection

SiamET: a Siamese based visual tracking network with enhanced templates

Enhancing firefly algorithm with adaptive multi-group mechanism

Mention detection in coreference resolution: survey

NetNMSP: Nonoverlapping maximal sequential pattern mining

Offline reinforcement learning with anderson acceleration for robotic tasks

Location-based deep factorization machine model for service recommendation

Network representation learning based on community-aware and adaptive random walk for overlapping community detection

I2DKPCN: an unsupervised deep learning network

Generative model based robotic grasp pose prediction with limited dataset

Transformer-based two-source motion model for multi-object tracking

Forecasting the abnormal events at well drilling with machine learning

Finger vein image inpainting using neighbor binary-wasserstein generative adversarial networks (NB-WGAN)

Non-dominated differential context modeling for context-aware recommendations

A relation aware embedding mechanism for relation extraction

Improving recommender system via knowledge graph based exploring user preference

LCRCA: image super-resolution using lightweight concatenated residual channel attention networks

A fast algorithm for complex discord searches in time series: HOT SAX Time

Time Series Reconstruction and Classification: A Comprehensive Comparative Study

Global-local neighborhood based network representation for citation recommendation

An effective framework using identification and image reconstruction algorithm for train component defect detection

Interconnected backlash inverse compensation in neural decentralized control for switched nonlinear systems

GeSe: Generalized static embedding

Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions

Improved similarity based prognostics method for turbine engine degradation with degradation consistency test

Bayesian Maximal Information Coefficient (BMIC) to reason novel trends in large datasets

Improving hypergraph convolution network collaborative filtering with feature crossing and contrastive learning

Video super-resolution network using detail component extraction and optical flow enhancement algorithm

URO-GAN: An untrustworthy region optimization approach for adipose tissue segmentation based on adversarial learning

A novel intelligent denoising method of ecg signals based on wavelet adaptive threshold and mathematical morphology

Deep spatio-temporal neural network based on interactive attention for traffic flow prediction

Cross attention fusion for knowledge graph optimized recommendation

Fault diagnosis of diesel engine information fusion based on adaptive dynamic weighted hybrid distance-taguchi method (ADWHD-T)

A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities

Parameter identification of robot manipulators with unknown payloads using an improved chaotic sparrow search algorithm

AFE-MERT: imbalanced text classification with abstract feature extraction

Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification

Truss optimization with natural frequency constraints using generalized normal distribution optimization

SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection

Traffic density estimation via a multi-level feature fusion network