Ausgabe 13/2024
Inhalt (37 Artikel)
Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing
Abdulrahman Mahmoud Eid, Bassel Soudan, Ali Bou Nassif, MohammadNoor Injadat
Efficient image restoration with style-guided context cluster and interaction
Fengjuan Qiao, Yonggui Zhu, Ming Meng
Gravitational wave isolation with autoencoder neural network cascade
Mayank Sengupta
Event-triggered self-learning-based tracking control for nonlinear constrained-input systems with uncertain disturbances
Binbin Peng, Xiaohong Cui, Kun Zhou
MCMSTStream: applying minimum spanning tree to KD-tree-based micro-clusters to define arbitrary-shaped clusters in streaming data
Berfin Erdinç, Mahmut Kaya, Ali Şenol
ATFTrans: attention-weighted token fusion transformer for robust and efficient object tracking
Liang Xu, Liejun Wang, Zhiqing Guo
GaitASMS: gait recognition by adaptive structured spatial representation and multi-scale temporal aggregation
Yan Sun, Hu Long, Xueling Feng, Mark Nixon
Enhanced multi-level features for very high resolution remote sensing scene classification
Chiranjibi Sitaula, Sumesh KC, Jagannath Aryal
Online content-based sequential recommendation considering multimodal contrastive representation and dynamic preferences
Yusheng Lu, Yongrui Duan
A fuzzy computing approach to aggregate expert opinions using parabolic and exparabolic approximation procedures for solving multi-criteria group decision-making problems
Yusuf Tansel Ic
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities
Choujun Zhan, Lingfeng Miao, Junyan Lin, Minghao Tan, Kim Fung Tsang, Tianyong Hao, Hu Min, Xuejiao Zhao
AlexDarkNet: Hybrid CNN architecture for real-time Traffic monitoring with unprecedented reliability
Rakhi Madhukarrao Joshi, D. S. Rao
Optimal formation control for second-order nonlinear MASs with collision avoidance and connectivity assurance
Zixin Tian, Yongming Li
A robust classification approach to enhance clinic identification from Arabic health text
Shrouq Al-Fuqaha’a, Nailah Al-Madi, Bassam Hammo
A simple but effective span-level tagging method for discontinuous named entity recognition
Tingyun Mao, Yaobin Xu, Weitang Liu, Jingchao Peng, Lili Chen, Mingwei Zhou
From mimic to counteract: a two-stage reinforcement learning algorithm for Google research football
Junjie Zhao, Jiangwen Lin, Xinyan Zhang, Yuanbai Li, Xianzhong Zhou, Yuxiang Sun
EvoFolio: a portfolio optimization method based on multi-objective evolutionary algorithms
Alfonso Guarino, Domenico Santoro, Luca Grilli, Rocco Zaccagnino, Mario Balbi
A comprehensive exploration of deep learning approaches for pulmonary nodule classification and segmentation in chest CT images
Murat Canayaz, Sanem Şehribanoğlu, Mesut Özgökçe, M. Bilal Akıncı
CovLIS-MUnet segmentation model for Covid-19 lung infection regions in CT images
Manju Devi, Sukhdip Singh, Shailendra Tiwari
Complex network robustness prediction using attention-augmented CNN
Jie Huang, Ruizi Wu, Junli Li
An improved social mimic optimization algorithm and its application in bearing fault diagnosis
Manhua Yu, Hong Jiang, Jianxing Zhou, Xiangfeng Zhang, Jun Li
Quasi-projective synchronization of discrete-time BAM neural networks by discrete inequality techniques
Zhen Yang, Zhengqiu Zhang, Huaying Liao
Alternative prioritization for mitigating urban transportation challenges using a Fermatean fuzzy-based intelligent decision support model
Mouhamed Bayane Bouraima, Ertugrul Ayyildiz, Gokhan Ozcelik, Nyamatari Anselem Tengecha, Željko Stević
EVAD: encrypted vibrational anomaly detection with homomorphic encryption
Alessandro Falcetta, Manuel Roveri
Deep ensemble learning approach for lower limb movement recognition from multichannel sEMG signals
Pratibha Tokas, Vijay Bhaskar Semwal, Sweta Jain
Finite-time synchronization of complex-valued neural networks with reaction-diffusion terms: an adaptive intermittent control approach
Saravanan Shanmugam, G. Narayanan, Karthikeyan Rajagopal, M. Syed Ali
Automated classification of Alzheimer's disease based on deep belief neural networks
K. Nanthini, A. Tamilarasi, D. Sivabalaselvamani, P. Suresh
Deep neural networks watermark via universal deep hiding and metric learning
Zhicheng Ye, Xinpeng Zhang, Guorui Feng
Effective speed control of brushless DC motor using cascade 1PDf-PI controller tuned by snake optimizer
Emre Çelik, Mehmet Karayel
A lightweight siamese transformer for few-shot semantic segmentation
Hegui Zhu, Yange Zhou, Cong Jiang, Lianping Yang, Wuming Jiang, Zhimu Wang
Hybrid particle swarm optimization algorithm for text feature selection problems
Mourad Nachaoui, Issam Lakouam, Imad Hafidi
An end-to-end machine learning approach with explanation for time series with varying lengths
Manuel Schneider, Norbert Greifzu, Lei Wang, Christian Walther, Andreas Wenzel, Pu Li
Interpretability of deep learning models in analysis of Spanish financial text
César Vaca, Manuel Astorgano, Alfonso J. López-Rivero, Fernando Tejerina, Benjamín Sahelices
Yaru3DFPN: a lightweight modified 3D UNet with feature pyramid network and combine thresholding for brain tumor segmentation
Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati, Choiru Za’in
Comparing of brain tumor diagnosis with developed local binary patterns methods
Mehmet Gül, Yılmaz Kaya
Multi-objective optimization and sustainable design: a performance comparison of metaheuristic algorithms used for on-grid and off-grid hybrid energy systems
Aykut Fatih Güven, Nuran Yörükeren, Onur Özdal Mengi
Parametric RSigELU: a new trainable activation function for deep learning
Serhat Kiliçarslan, Mete Celik