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VertiBayes: learning Bayesian network parameters from vertically partitioned data with missing values Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-25 Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo
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Bi-directional information guidance network for UAV vehicle detection Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-24 Jianxiu Yang, Xuemei Xie, Zhenyuan Wang, Peng Zhang, Wei Zhong
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A single-frame infrared small target detection method based on joint feature guidance Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-24 Xiaoyu Xu, Weida Zhan, Yichun Jiang, Depeng Zhu, Yu Chen, Jinxin Guo, Jin Li, Yanyan Liu
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GHQ: grouped hybrid Q-learning for cooperative heterogeneous multi-agent reinforcement learning Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-23 Xiaoyang Yu, Youfang Lin, Xiangsen Wang, Sheng Han, Kai Lv
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A large-scale multi-attribute group decision-making method with R-numbers and its application to hydrogen fuel cell logistics path selection Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-22 Rui Cheng, Jianping Fan, Meiqin Wu, Hamidreza Seiti
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Fuzzy graphs and their applications in finding the best route, dominant node and influence index in a network under the hesitant bipolar-valued fuzzy environment Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-20 Jambi Ratna Raja, Jeong Gon Lee, Dhanraj Dhotre, Pravin Mane, Omprakash Sugdeo Rajankar, Antonios Kalampakas, Navin D. Jambhekar, D. G. Bhalke
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Clip-GCN: an adaptive detection model for multimodal emergent fake news domains Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-20 Yufeng Zhou, Aiping Pang, Guang Yu
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A novel similarity algorithm for triangular cloud models based on exponential closeness and cloud drop variance Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-20 Jianjun Yang, Jiahao Han, Qilin Wan, Shanshan Xing, Hongbo Shi
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ADS-CNN: Adaptive Dataflow Scheduling for lightweight CNN accelerator on FPGAs Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-20 Yi Wan, Xianzhong Xie, Junfan Chen, Kunpeng Xie, Dezhi Yi, Ye Lu, Keke Gai
Lightweight convolutional neural networks (CNNs) enable lower inference latency and data traffic, facilitating deployment on resource-constrained edge devices such as field-programmable gate arrays (FPGAs). However, CNNs inference requires access to off-chip synchronous dynamic random-access memory (SDRAM), which significantly degrades inference speed and system power efficiency. In this paper, we
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Optimized Backstepping Cooperative Control for Output-Constrained Stochastic Nonlinear Network Systems via a Multibridge-Hole Function IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-19 Xiyue Guo, Huaguang Zhang, Xiaohui Yue, Tianbiao Wang
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Sparse semi-supervised multi-label feature selection based on latent representation Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-17 Xue Zhao, Qiaoyan Li, Zhiwei Xing, Xiaofei Yang, Xuezhen Dai
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An improved black hole algorithm designed for K-means clustering method Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-17 Chenyang Gao, Xin Yong, Yue-lin Gao, Teng Li
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MAFNet: dual-branch fusion network with multiscale atrous pyramid pooling aggregate contextual features for real-time semantic segmentation Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-17 Shan Zhao, Yunlei Wang, Xuan Wu, Fukai Zhang
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Privacy-preserving bipartite output consensus for continuous-time heterogeneous multi-agent systems via event-triggered impulsive control Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-17 Jiayue Ma, Jiangping Hu
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An Efficient Robotic Pushing and Grasping Method in Cluttered Scene IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-17 Sheng Yu, Di-Hua Zhai, Yuanqing Xia, Yuyin Guan
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Quantized Zeroth-Order Gradient Tracking Algorithm for Distributed Nonconvex Optimization Under Polyak–${\L}$ojasiewicz Condition IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-17 Lei Xu, Xinlei Yi, Chao Deng, Yang Shi, Tianyou Chai, Tao Yang
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Logic-Based Fixed-Time Control for Uncertain Nonlinear Systems With Unknown Control Directions IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-17 Zhonghua Sun, Changchun Hua
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SkySwapping: Entanglement resupply by separating quantum swapping and photon exchange Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-17 Alin-Bogdan Popa, Bogdan-Călin Ciobanu, Voichiţa Iancu, Florin Pop, Pantelimon George Popescu
We propose a fast, satellite-based, on-demand entanglement resupply protocol which leverages entangled pairs exchanged in advance between satellites and ground stations. At the request time, the protocol does not require any quantum information exchange between ground and satellite, by performing the quantum entanglement swapping on satellite-level only, thus separating the particle exchange phase
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A Blockchain-based Digital Twin for IoT deployments in logistics and transportation Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-17 Salvador Cuñat Negueroles, Raúl Reinosa Simón, Matilde Julián, Andreu Belsa, Ignacio Lacalle, Raúl S-Julián, Carlos E. Palau
Digital Twins are software technologies that enable the modelling of real-world phenomena in digitised environments, representing and monitoring the reality of various processes, including IoT deployments. Since 2017, the use of Digital Twins has been increasing. However, in the road transport and logistics realm, the adoption rate remains low, primarily due to the costs of processing and validating
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IEEE Foundation - Reflecting on 50 Years of Impact IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-16
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TMHD: Twin-Bridge Scheduling of Multi-Heterogeneous Dependent Tasks for Edge Computing Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-16 Wei Liang, Jiahong Xiao, Yuxiang Chen, Chaoyi Yang, Kun Xie, Kuan-Ching Li, Beniamino Di Martino
As an efficient computing paradigm, Mobile Edge Computing (MEC) is essential in assisting mobile devices with real-time complex tasks such as big data analytics. In MEC, application tasks consist of multiple dependent subtasks, and the way to process tasks ensuring lower response latency through efficient scheduling orders is of relevant importance. Most existing research on scheduling sorts the dependent
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Sort-then-insert: A space efficient and oblivious model aggregation algorithm for top-k sparsification in federated learning Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-16 Yongzhi Wang, Pengfei Gui, Mehdi Sookhak
Federated Learning (FL) allows multiple clients to collaboratively train machine learning models while preserving the model privacy of the clients. However, when generating a global model during the aggregation process, a malicious FL server could derive clients’ local model weights. Such a threat cannot be completely eliminated, even if model aggregation is performed in the Trusted Execution Environment
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A general framework and decentralised algorithms for collective computational processes Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-16 Giorgio Audrito, Roberto Casadei, Gianluca Torta
Recent research on collective adaptive systems and macro-programming has shown the importance of programming abstractions for expressing the self-organising behaviour of ensembles, large and dynamic sets of collaborating devices. These generally leverage the interplay between the execution model and the program logic to steer the global-level emergent behaviour of the system. One notable example is
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Enabling high fault-tolerant embedding capability of alternating group graphs Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-16 Hongbin Zhuang, Xiao-Yan Li, Dajin Wang, Cheng-Kuan Lin, Kun Zhao
The Hamiltonian path/cycle serves as a robust tool for transmitting messages within parallel and distributed systems. However, the prevalent device-intensive nature of these systems often leads to the occurrence of faults. Tackling the critical challenge of tolerating numerous faults when constructing Hamiltonian paths and cycles in these systems is of utmost significance. The alternating group graph
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Enabling performance portability on the LiGen drug discovery pipeline Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-16 Luigi Crisci, Lorenzo Carpentieri, Biagio Cosenza, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Andrea Rosario Beccari
In recent years, there has been a growing interest in developing high-performance implementations of drug discovery processing software. To target modern GPU architectures, such applications are mostly written in proprietary languages such as CUDA or HIP. However, with the increasing heterogeneity of modern HPC systems and the availability of accelerators from multiple hardware vendors, it has become
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Keyframe recommendation based on feature intercross and fusion Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Guanci Yang, Zonglin He, Zhidong Su, Yang Li, Bingqi Hu
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A collective neurodynamic approach to distributed resource allocation with event-triggered communication Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Xin Cai, Bingpeng Gao, Xinyuan Nan
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A novel Voronoi-based convolutional neural network framework for pushing person detection in crowd videos Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Ahmed Alia, Mohammed Maree, Mohcine Chraibi, Armin Seyfried
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Consistency-constrained RGB-T crowd counting via mutual information maximization Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Qiang Guo, Pengcheng Yuan, Xiangming Huang, Yangdong Ye
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A two-stage bidirectional coevolution algorithm with reverse search for constrained multiobjective optimization Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Cancan Liu, Yujia Wang, Yunfeng Xue
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Multi-behavior collaborative contrastive learning for sequential recommendation Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Yuzhe Chen, Qiong Cao, Xianying Huang, Shihao Zou
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Combining transformer global and local feature extraction for object detection Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Tianping Li, Zhenyi Zhang, Mengdi Zhu, Zhaotong Cui, Dongmei Wei
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NLKFill: high-resolution image inpainting with a novel large kernel attention Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Ting Wang, Dong Xiang, Chuan Yang, Jiaying Liang, Canghong Shi
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Deep matrix factorization via feature subspace transfer for recommendation system Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Weichen Wang, Jing Wang
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Decentralized multi-agent cooperation via adaptive partner modeling Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-15 Chenhang Xu, Jia Wang, Xiaohui Zhu, Yong Yue, Weifeng Zhou, Zhixuan Liang, Dominik Wojtczak
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A Novel Set-Based Discrete Particle Swarm Optimization for Wastewater Treatment Process Effluent Scheduling IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-15 Hong-Gui Han, Zi-Ang Xu, Jing-Jing Wang
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An ensemble maximal feature subset selection for smartphone based human activity recognition J. Netw. Comput. Appl. (IF 8.7) Pub Date : 2024-04-15 S. Reshmi, E. Ramanujam
Smartphone-based Human Activity Recognition (HAR) uses spatiotemporal time series data collected from a smartphone’s in-built accelerometer, gyroscope, and magnetometer sensor. Real-time HAR datasets such as UCI-HAR and UCI-HAPT extract time and frequency domain statistical features for activity recognition from the collected time series signals. Various Machine Learning techniques have been proposed
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Blockchain-based cooperative game bilateral matching architecture for shared storage Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-15 Guanjie Lin, Mingyuan Zeng, Zhiguang Shan, Kaishun Wu, Guan Wang, Kai Lei
The development of IPFS (InterPlanetary File System) and blockchain-based distributed storage projects has brought new possibilities to the field of storage. This paper proposes a blockchain-based cooperative game bilateral matching architecture as a novel approach for shared storage networks. In traditional competitive (non-cooperative) game models, the allocation of storage resources is centered
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Online RL-based cloud autoscaling for scientific workflows: Evaluation of Q-Learning and SARSA Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-15 Yisel Garí, Elina Pacini, Luciano Robino, Cristian Mateos, David A. Monge
Q-Learning and SARSA are two well-known reinforcement learning (RL) algorithms that have shown promising results in several application domains. However, their approach to build solutions is quite different. For example, SARSA tends to be more conservative than Q-Learning while exploring the solution space. Motivated by such differences, in this paper, we conducted an evaluation of both algorithms
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CANDIL: A federated data fabric for network analytics Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-13 Ignacio D. Martinez-Casanueva, Luis Bellido, Daniel González-Sánchez, Diego Lopez
The availability of data sources during the Big Data era provides the opportunity for new analytical applications in the networking domain, which are envisioned as one of the main enablers of the future autonomous networks. But the proliferation of heterogeneous data sources has resulted into a sea of data silos, in which finding data, understanding data, and dealing with the complexities of each data
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Enhancing federated learning robustness through randomization and mixture Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-13 Seyedsina Nabavirazavi, Rahim Taheri, Sundararaja Sitharama Iyengar
Protecting data privacy is a significant challenge in machine learning (ML), and federated learning (FL) has emerged as a decentralized learning solution to address this issue. However, FL is vulnerable to poisoning attacks, which control and interrupt the learning process to substantially increase the error rate of the system. The aggregation algorithm’s robustness is crucial to prevent such attacks;
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Memristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-10 Le Yang, Zhixia Ding, Yanyang Xu, Zhigang Zeng
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A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-11 Jiaxin Chen, Jinliang Ding, Ke Li, Kay Chen Tan, Tianyou Chai
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A Modular Event-Triggered Containment Control Scheme for Nonlinear Heterogeneous Multiagent Systems With Unknown Leaders IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-11 Fuyong Wang, Jia Deng, Zhongxin Liu, Zengqiang Chen
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Two-Layer Reinforcement Learning for Output Consensus of Multiagent Systems Under Switching Topology IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-10 Zhanshan Wang, Yingying Liu, Huaguang Zhang
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Multiple Observer Adaptive Fusion for Uncertainty Estimation and Its Application to Wheel Velocity Systems IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-10 Zhi Zheng, Tao Jiang, Xiaojie Su, Jiangshuai Huang, Xiaoyu Ma
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Principled and automated system of systems composition using an ontological architecture Future Gener. Comput. Syst. (IF 7.5) Pub Date : 2024-04-10 Abdessalam Elhabbash, Yehia Elkhatib, Vatsala Nundloll, Vicent Sanz Marco, Gordon S. Blair
A distributed system’s functionality must continuously evolve, especially when environmental context changes. Such required evolution imposes unbearable complexity on system development. An alternative is to make systems able to self-adapt by opportunistically composing at runtime to generate (SoSs) that offer value-added functionality. The success of such an approach calls for abstracting the heterogeneity
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Dual-student knowledge distillation for visual anomaly detection Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-09 Jutao Hao, Kai Huang, Chen Chen, Jian Mao
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Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-09 Hafiz M. Asif, Saddam Hussain Khan, Tahani Jaser Alahmadi, Tariq Alsahfi, Amena Mahmoud
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UCDCN: a nested architecture based on central difference convolution for face anti-spoofing Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-09 Jing Zhang, Quanhao Guo, Xiangzhou Wang, Ruqian Hao, Xiaohui Du, Siying Tao, Juanxiu Liu, Lin Liu
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A novel Bayesian optimization prediction framework for four-axis industrial robot joint motion state Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-09 Li Zhu, Wei Liu, Hanzhong Tan, Tao Hu
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Towards efficient similarity embedded temporal Transformers via extended timeframe analysis Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-08 Kenniy Olorunnimbe, Herna Viktor
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OBMI: oversampling borderline minority instances by a two-stage Tomek link-finding procedure for class imbalance problem Complex Intell. Syst. (IF 5.8) Pub Date : 2024-04-08 Qiangkui Leng, Jiamei Guo, Jiaqing Tao, Xiangfu Meng, Changzhong Wang
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Finite-Time Fault-Tolerant Control via Fully Actuated System Approaches IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-09 Miao Cai, Xiao He, Donghua Zhou
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Exploring Robust Features for Improving Adversarial Robustness IEEE Trans. Cybern. (IF 11.8) Pub Date : 2024-04-09 Hong Wang, Yuefan Deng, Shinjae Yoo, Yuewei Lin