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Complex & Intelligent Systems OnlineFirst articles

Open Access 20.03.2024 | Original Article

GITPose: going shallow and deeper using vision transformers for human pose estimation

In comparison to convolutional neural networks (CNN), the newly created vision transformer (ViT) has demonstrated impressive outcomes in human pose estimation (HPE). However, (1) there is a quadratic rise in complexity with respect to image size …

verfasst von:
Evans Aidoo, Xun Wang, Zhenguang Liu, Abraham Opanfo Abbam, Edwin Kwadwo Tenagyei, Victor Nonso Ejianya, Seth Larweh Kodjiku, Esther Stacy E. B. Aggrey

Open Access 20.03.2024 | Original Article

Knowledge distillation based on projector integration and classifier sharing

Knowledge distillation can transfer the knowledge from the pre-trained teacher model to the student model, thus effectively accomplishing model compression. Previous studies have carefully crafted knowledge representation, targeting loss function …

verfasst von:
Guanpeng Zuo, Chenlu Zhang, Zhe Zheng, Wu Zhang, Ruiqing Wang, Jingqi Lu, Xiu Jin, Zhaohui Jiang, Yuan Rao

Open Access 15.03.2024 | Original Article

A multi-intent-aware recommendation algorithm based on interactive graph convolutional networks

In recent years, graph neural networks (GNNs) have been widely applied in recommender systems. However, existing recommendation algorithms based on GNNs still face challenges in node aggregation and feature extraction processes because they often …

verfasst von:
Junsan Zhang, Hui Gao, Sen Xiao, Jie Zhu, Jian Wang

Open Access 13.03.2024 | Original Article

A graph neural network with negative message passing and uniformity maximization for graph coloring

Graph neural networks have received increased attention over the past years due to their promising ability to handle graph-structured data, which can be found in many real-world problems such as recommender systems and drug synthesis. Most …

verfasst von:
Xiangyu Wang, Xueming Yan, Yaochu Jin

Open Access 13.03.2024 | Original Article

Human face identification after plastic surgery using SURF, Multi-KNN and BPNN techniques

Facial identification for surgical and non-surgical datasets is getting popular. The reason behind this popularity is the growing need of a robust facial recognition system which is consistent to occlusion, spoofing attacks and last but most …

verfasst von:
Tanupreet Sabharwal, Rashmi Gupta

Open Access 12.03.2024 | Original Article

Enhanced Chinese named entity recognition with multi-granularity BERT adapter and efficient global pointer

Named Entity Recognition (NER) plays a crucial role in the field of Natural Language Processing, holding significant value in applications such as information extraction, knowledge graphs, and question–answering systems. However, Chinese NER faces …

verfasst von:
Lei Zhang, Pengfei Xia, Xiaoxuan Ma, Chengwei Yang, Xin Ding

Open Access 11.03.2024 | Original Article

A prediction method for dynamic multiobjective optimization based on joint subspace and correlation alignment

Dynamic multiobjective optimization is a significant challenge in accurately capturing changes in Pareto optimal sets (PS), encompassing both location and manifold changes. Existing approaches primarily focus on tracking changes in the location of …

verfasst von:
Guoping Li, Yanmin Liu, Xicai Deng

Open Access 09.03.2024 | Original Article

Group decision on rationalizing disease analysis using novel distance measure on Pythagorean fuzziness

Despite the fact that several technologies have been developed to assist healthcare workers in reducing errors and improving accuracy in illness diagnosis, there is still substantial ambiguity regarding the accurate disease diagnosis based on …

verfasst von:
B. Baranidharan, Jie Liu, G. S. Mahapatra, B. S. Mahapatra, R. Srilalithambigai

Open Access 05.03.2024 | Original Article

SRNN-RSA: a new method to solving time-dependent shortest path problems based on structural recurrent neural network and ripple spreading algorithm

Influenced by external factors, the speed of vehicles in the traffic network is changing all the time, which makes the traditional static shortest route unable to meet the real logistics distribution needs. Considering that the existing research …

verfasst von:
Shilin Yu, Yuantao Song

Open Access 05.03.2024 | Original Article

AGF-Net: adaptive global feature fusion network for road extraction from remote-sensing images

Road extraction from remote-sensing images is of great significance for vehicle navigation and emergency insurance. However, the road information extracted in the remote-sensing image is discontinuous because the road in the image is often …

verfasst von:
Yajuan Zhang, Lan Zhang, Yunhe Wang, Wenjia Xu

Open Access 05.03.2024 | Original Article

A predictive-reactive strategy for flight test task scheduling with aircraft grounding

In flight test engineering, the flight test duration (FTD) affects the aircraft’s delivery node and directly impacts costs. In the actual flight test process, the environmental status updates frequently, and various uncertain events are often …

verfasst von:
Bei Tian, Gang Xiao, Yu Shen

Open Access 05.03.2024 | Original Article

Covering-based -multi-granulation bipolar fuzzy rough set model under bipolar fuzzy preference relation with decision-making applications

The rough set (RS) and multi-granulation rough set (MGRS) theories have been successfully extended to accommodate preference analysis by substituting the equivalence relation (ER) with the dominance relation (DR). On the other hand, bipolarity …

verfasst von:
Rizwan Gul, Muhammad Shabir, Ahmad N. Al-Kenani

Open Access 04.03.2024 | Original Article

The fuzzy support vector data description based on tightness for noisy label detection

Machine learning (ML) is an approach driven by data, and as research in machine learning progresses, the issue of noisy labels has garnered widespread attention. Noisy labels can significantly reduce the accuracy of supervised classification …

verfasst von:
Xiaoying Wu, Sanyang Liu, Yiguang Bai

Open Access 04.03.2024 | Original Article

HoloSLAM: a novel approach to virtual landmark-based SLAM for indoor environments

In this paper, we present HoloSLAM which is a novel solution to landmark detection issues in the simultaneous localization and mapping (SLAM) problem in autonomous robot navigation. The approach integrates real and virtual worlds to create a novel …

verfasst von:
Elfituri S. Lahemer, Ahmad Rad

Open Access 04.03.2024 | Original Article

STO-CVAE: state transition-oriented conditional variational autoencoder for data augmentation in disability classification

The class imbalance problem occurs when there is an unequal distribution of classes in a dataset and is a significant issue in various artificial intelligence applications. This study focuses on the severe multiclass imbalance problem of human …

verfasst von:
Seong Jin Bang, Min Jung Kang, Min-Goo Lee, Sang Min Lee

Open Access 04.03.2024 | Original Article

An approach for reaching consensus in large-scale group decision-making focusing on dimension reduction

Group decision-making and consensus modeling have always been important research topics. With the widespread use of the Internet, group decisions can be made online, in which a large number of decision-makers participate. Most of the existing …

verfasst von:
Fatemeh Bakhshi, Mehrdad Ashtiani

Open Access 04.03.2024 | Original Article

Cytopathology image analysis method based on high-resolution medical representation learning in medical decision-making system

Artificial intelligence has made substantial progress in many medical application scenarios. The quantity and complexity of pathology images are enormous, but conventional visual screening techniques are labor-intensive, time-consuming, and …

verfasst von:
Baotian Li, Feng Liu, Baolong Lv, Yongjun Zhang, Fangfang Gou, Jia Wu

Open Access 04.03.2024 | Original Article

A lightweight contour detection network inspired by biology

In recent years, the field of bionics has attracted the attention of numerous scholars. Some models combined with biological vision have achieved excellent performance in computer vision and image processing tasks. In this paper, we propose a new …

verfasst von:
Chuan Lin, Zhenguang Zhang, Jiansheng Peng, Fuzhang Li, Yongcai Pan, Yuwei Zhang

Open Access 02.03.2024 | Original Article

Flexible job-shop scheduling problem with parallel batch machines based on an enhanced multi-population genetic algorithm

The flexible job-shop scheduling problem (FJSP) with parallel batch processing machine (PBM) is one of those long-standing issues that needs cutting-edge approaches. It is a recent extension of standard flexible job shop scheduling problems.

verfasst von:
Lirui Xue, Shinan Zhao, Amin Mahmoudi, Mohammad Reza Feylizadeh

Open Access 02.03.2024 | Original Article

A data decomposition and attention mechanism-based hybrid approach for electricity load forecasting

An accurate and reliable prediction of future energy patterns is of utmost significance for the smooth operation of several related activities such as capacity or generation unit planning, transmission network optimization, better resources …

verfasst von:
Hadi Oqaibi, Jatin Bedi