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Applied Soft Computing

短名	Appl. Soft Comput.
Journal Impact	7.25
国际分区	COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS(Q1)
期刊索引	SCI Q1中科院 1 区

ISSN	1568-4946, 1872-9681
h-index	190
国内分区	计算机科学(1区)计算机科学计算机跨学科应用(1区)计算机科学计算机人工智能(2区)
Top期刊	是

期刊主页投稿网址

涉及主题	计算机科学人工智能数学机器学习数学优化工程类算法哲学物理生物经济语言学统计心理学程序设计语言量子力学操作系统数据挖掘模糊逻辑
出版信息	出版商: Elsevier B.V.，出版周期: Quarterly，期刊类型: journal
基本数据	创刊年份: 2001，原创研究文献占比: 98.31%，自引率:8.30%， Gold OA占比: 7.05%
平均审稿周期	网友分享经验：平均24.0个月来源Elsevier官网：平均18.5周
平均录用比例	网友分享经验：容易

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Deep reinforcement learning-based low-latency task offloading for mobile-edge computing networks

2024-11-1

Enhanced domain transfer deep fuzzy echo state network for rotating machinery fault diagnosis based on current signal

2024-11-1

Hierarchical learning multi-objective firefly algorithm for high-dimensional feature selection

2024-11-1

Efficient image super-resolution based on transformer with bidirectional interaction

2024-11-1

Combining Machine Learning techniques and Genetic Algorithm for predicting run times of High Performance Computing jobs

2024-11-1

2D Spectrogram analysis using vision transformer to detect mispronounced Arabic utterances for children

2024-11-1

An enhanced diversity indicator-based many-objective evolutionary algorithm with shape-conforming convergence metric

2024-11-1

A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology

2024-11-1

Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography

2024-11-1

A Multi-Embedding Fusion Network for attributed graph clustering

2024-11-1

Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction

2024-11-1

Broad collaborative filtering with adjusted cosine similarity by fusing matrix completion

2024-11-1

An interaction-enhanced co-evolutionary algorithm for electric vehicle routing optimization

2024-11-1

Automatic localization of image semantic patches for crop disease recognition

2024-11-1

Android malware detection through centrality analysis of applications network

2024-11-1

Selective regularized spatial features representation learning for motor imagery EEG based on alternating cascaded model

2024-11-1

A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem

2024-11-1

Multi-guided population co-evolutionary algorithm based on multiple similarity decomposition for large-scale flexible job shop scheduling problem

2024-11-1

Overall aerodynamic performance of the airfoils with different amplitudes via a fuzzy decision making based Taguchi methodology

2024-11-1

A lightweight self-supervised learning segmentation model for variable and complex high-resolution remote sensing images

2024-11-1

Unsupervised adversarial and cycle consistent feature extraction network for intelligent fault diagnosis

2024-11-1

A three-level nested portfolio optimization model with position allocation

2024-11-1

Leveraging GANs data augmentation for imbalanced medical image classification

2024-11-1

Evolving graph convolutional network with transformer for CT segmentation

2024-11-1

Modeling 5G shared base station planning problem using an evolutionary bi-level optimization algorithm

2024-11-1

Cost-sensitive stacked long short-term memory with an evolutionary framework for minority class detection

2024-11-1

Two-stage heuristic algorithm with pseudo node-based model for electric vehicle routing problem

2024-11-1

An adaptive detection framework based on artificial immune for IoT intrusion detection system

2024-11-1

Numerical algorithms for generating an almost even approximation of the Pareto front in nonlinear multi-objective optimization problems

2024-11-1

Object detection with a dynamic interactive network based on relational graph routing

2024-11-1

Redundancy allocation problem in repairable k-out-of-n systems with cold, warm, and hot standby: A genetic algorithm for availability optimization

2024-11-1

Edge AI-driven neural network predictions for replica sync optimization

2024-11-1

A Genetic Programming approach for hardware-oriented hash functions for network security applications

2024-11-1

Editorial Board

2024-11-1

Multi-unit stacked architecture: An urban scene segmentation network based on UNet and ShuffleNetv2

2024-11-1

Image forgery detection by combining Visual Transformer with Variational Autoencoder Network

2024-11-1

Lightweight intrusion detection model based on CNN and knowledge distillation

2024-11-1

A second-order projection neurodynamic approach with exponential convergence for sparse signal reconstruction

2024-11-1

Graph generative adversarial networks with evolutionary algorithm

2024-10-1

Adaptive Masked Autoencoder Transformer for image classification

2024-10-1

A coevolutionary algorithm using Self-organizing map approach for multimodal multi-objective optimization

2024-10-1

Dynamic Path Planning of Autonomous Bulldozers using Activity-Value-Optimised Bio-inspired Neural Networks and Adaptive Cell Decomposition

2024-10-1

Multi-resolution assessment of heart rate variability signals during yogic and normal breathing using machine learning modules

2024-10-1

Deep Learning with Local Spatiotemporal Structure Preserving for Soft Sensor Development of Complex Industrial Processes

2024-10-1

A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors

2024-10-1

Eligibility Traces in an Autonomous Soccer Robot with Obstacle Avoidance and Navigation Policy

2024-10-1

Testing the consistency of performance scores reported for binary classification problems

2024-10-1

FMCF: A fusing multiple code features approach based on Transformer for Solidity smart contracts source code summarization

2024-9-13

A study on improving drug–drug interactions prediction using convolutional neural networks

2024-9-13

Cooperative coevolution for non-separable large-scale black-box optimization: Convergence analyses and distributed accelerations

2024-9-12

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Applied Soft Computing

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最新文章

Deep reinforcement learning-based low-latency task offloading for mobile-edge computing networks

Enhanced domain transfer deep fuzzy echo state network for rotating machinery fault diagnosis based on current signal

Hierarchical learning multi-objective firefly algorithm for high-dimensional feature selection

Efficient image super-resolution based on transformer with bidirectional interaction

Combining Machine Learning techniques and Genetic Algorithm for predicting run times of High Performance Computing jobs

2D Spectrogram analysis using vision transformer to detect mispronounced Arabic utterances for children

An enhanced diversity indicator-based many-objective evolutionary algorithm with shape-conforming convergence metric

A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology

Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography

A Multi-Embedding Fusion Network for attributed graph clustering

Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction

Broad collaborative filtering with adjusted cosine similarity by fusing matrix completion

An interaction-enhanced co-evolutionary algorithm for electric vehicle routing optimization

Automatic localization of image semantic patches for crop disease recognition

Android malware detection through centrality analysis of applications network

Selective regularized spatial features representation learning for motor imagery EEG based on alternating cascaded model

A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem

Multi-guided population co-evolutionary algorithm based on multiple similarity decomposition for large-scale flexible job shop scheduling problem

Overall aerodynamic performance of the airfoils with different amplitudes via a fuzzy decision making based Taguchi methodology

A lightweight self-supervised learning segmentation model for variable and complex high-resolution remote sensing images

Unsupervised adversarial and cycle consistent feature extraction network for intelligent fault diagnosis

A three-level nested portfolio optimization model with position allocation

Leveraging GANs data augmentation for imbalanced medical image classification

Evolving graph convolutional network with transformer for CT segmentation

Modeling 5G shared base station planning problem using an evolutionary bi-level optimization algorithm

Cost-sensitive stacked long short-term memory with an evolutionary framework for minority class detection

Two-stage heuristic algorithm with pseudo node-based model for electric vehicle routing problem

An adaptive detection framework based on artificial immune for IoT intrusion detection system

Numerical algorithms for generating an almost even approximation of the Pareto front in nonlinear multi-objective optimization problems

Object detection with a dynamic interactive network based on relational graph routing

Redundancy allocation problem in repairable k-out-of-n systems with cold, warm, and hot standby: A genetic algorithm for availability optimization

Edge AI-driven neural network predictions for replica sync optimization

A Genetic Programming approach for hardware-oriented hash functions for network security applications

Editorial Board

Multi-unit stacked architecture: An urban scene segmentation network based on UNet and ShuffleNetv2

Image forgery detection by combining Visual Transformer with Variational Autoencoder Network

Lightweight intrusion detection model based on CNN and knowledge distillation

A second-order projection neurodynamic approach with exponential convergence for sparse signal reconstruction

Graph generative adversarial networks with evolutionary algorithm

Adaptive Masked Autoencoder Transformer for image classification

A coevolutionary algorithm using Self-organizing map approach for multimodal multi-objective optimization

Dynamic Path Planning of Autonomous Bulldozers using Activity-Value-Optimised Bio-inspired Neural Networks and Adaptive Cell Decomposition

Multi-resolution assessment of heart rate variability signals during yogic and normal breathing using machine learning modules

Deep Learning with Local Spatiotemporal Structure Preserving for Soft Sensor Development of Complex Industrial Processes

A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors

Eligibility Traces in an Autonomous Soccer Robot with Obstacle Avoidance and Navigation Policy

Testing the consistency of performance scores reported for binary classification problems

FMCF: A fusing multiple code features approach based on Transformer for Solidity smart contracts source code summarization

A study on improving drug–drug interactions prediction using convolutional neural networks

Cooperative coevolution for non-separable large-scale black-box optimization: Convergence analyses and distributed accelerations

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