0924-669X

Applied Intelligence （APIN） - January 2022, issue 1 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： January 2022, issue 1
发布时间：
卷期年份： 2022
卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/52-1
本期论文列表
A novel cause analysis approach of grey reasoning Petri net based on matrix operations

Neural TV program recommendation with label and user dual attention

Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval

Dynamic Kernel CNN-LR model for people counting

From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19

S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection

Triplet attention multiple spacetime-semantic graph convolutional network for skeleton-based action recognition

A model and algorithm for identifying driver pathways based on weighted non-binary mutation matrix

A parallel memetic algorithm with explicit management of diversity for the job shop scheduling problem

MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix

DWE-IL: a new incremental learning algorithm for non-stationary time series prediction via dynamically weighting ensemble learning

Artificial electric field algorithm with inertia and repulsion for spherical minimum spanning tree

CFENet: Content-aware feature enhancement network for multi-person pose estimation

Deep belief networks with self-adaptive sparsity

Weighted frequent sequential pattern mining

ETBRec: a novel recommendation algorithm combining the double influence of trust relationship and expert users

Deformable and residual convolutional network for image super-resolution

Evolved fuzzy min-max neural network for new-labeled data classification

Soft adaptive loss based Laplacian eigenmaps

A multi-focus image fusion method based on attention mechanism and supervised learning

Transfer learning from synthetic labels for histopathological images classification

Research on a new optimization algorithm simulating multi- states of matter inspired by finite element analysis approach

Weighted multi-view co-clustering (WMVCC) for sparse data

RD-Hand: a real-time regression-based detector for dynamic hand gesture

Prioritized planning algorithm for multi-robot collision avoidance based on artificial untraversable vertex

Linear dynamical systems approach for human action recognition with dual-stream deep features

Lightweight surrogate random forest support for model simplification and feature relevance

Using known nonself samples to improve negative selection algorithm

Multi-instance cancellable biometrics schemes based on generative adversarial network

Scene text detection by adaptive feature selection with text scale-aware loss

Coupled low rank representation and subspace clustering

Dual adaptive alignment and partitioning network for visible and infrared cross-modality person re-identification

Lightweight and efficient asymmetric network design for real-time semantic segmentation

Joint pyramid attention network for real-time semantic segmentation of urban scenes

COVID-19 cases prediction in multiple areas via shapelet learning

A robust zero-watermarking algorithm for lossless copyright protection of medical images

Discriminative least squares regression for multiclass classification based on within-class scatter minimization

Developing a BERT based triple classification model using knowledge graph embedding for question answering system

Efficient residual attention network for single image super-resolution

Deep learning frameworks to learn prediction and simulation focused control system models

Correction to: Deep learning frameworks to learn prediction and simulation focused control system models

A new QoC parameter and corresponding context inconsistency elimination algorithms for sensed contexts and non-sensed contexts

Mathematical modelling for decision making of lockdown during COVID-19

Kernelized multi-view subspace clustering via auto-weighted graph learning

A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process

A scalable parallel preconditioned conjugate gradient method for bundle adjustment

Unsupervised deformable image registration network for 3D medical images

LSTM-TC: Bitcoin coin mixing detection method with a high recall

Cure models to estimate time until hospitalization due to COVID-19

Estate price prediction system based on temporal and spatial features and lightweight deep learning model