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A coloured Petri nets-based system for validation of biomedical signal acquisition devices J. Supercomput. (IF 3.3) Pub Date : 2024-03-18 José Irineu Ferreira Júnior, Álvaro Sobrinho, Leandro Dias da Silva, Paulo Cunha, Thiago Cordeiro, Angelo Perkusich, Antonio Marcus Nogueira Lima
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Attention based morphological guided deep learning network for neuron segmentation in electron microscopy J. Supercomput. (IF 3.3) Pub Date : 2024-03-18 Maryam Imani, Amin Zehtabian
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Trojan playground: a reinforcement learning framework for hardware Trojan insertion and detection J. Supercomput. (IF 3.3) Pub Date : 2024-03-18
Abstract Current hardware Trojan (HT) detection techniques are mostly developed based on a limited set of HT benchmarks. Existing HT benchmark circuits are generated with multiple shortcomings, i.e., (i) they are heavily biased by the designers’ mindset when created, and (ii) they are created through a one-dimensional lens, mainly the signal activity of nets. We introduce the first automated reinforcement
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Hyper star structure connectivity of hierarchical folded cubic networks J. Supercomput. (IF 3.3) Pub Date : 2024-03-17 Huimei Guo, Rong-Xia Hao, Jou-Ming Chang, Young Soo Kwon
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Feature-based point cloud simplification method: an effective solution for balancing accuracy and efficiency J. Supercomput. (IF 3.3) Pub Date : 2024-03-16
Abstract Traditional point cloud simplification methods are slow to process large point clouds and prone to losing small features, which leads to a large loss of point cloud accuracy. In this paper, a new point cloud simplification method using a three-step strategy is proposed, which realizes efficient reduction of large point clouds while preserving fine features through point cloud down-sampling
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Hypergraph network embedding for community detection J. Supercomput. (IF 3.3) Pub Date : 2024-03-16 Nan Xiang, Mingwei You, Qilin Wang, Bingdi Tian
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A comprehensive comparison study of ML models for multistage APT detection: focus on data preprocessing and resampling J. Supercomput. (IF 3.3) Pub Date : 2024-03-16 Dinh-Dong Dau, Soojin Lee, Hanseok Kim
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SYCL in the edge: performance and energy evaluation for heterogeneous acceleration J. Supercomput. (IF 3.3) Pub Date : 2024-03-16 Youssef Faqir-Rhazoui, Carlos García
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Experience in teaching quantum computing with hands-on programming labs J. Supercomput. (IF 3.3) Pub Date : 2024-03-15 Federico Galetto, Hiram H. López, Mehdi Rahmati, Janche Sang, Chansu Yu
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Mathematical modeling and problem solving: from fundamentals to applications J. Supercomput. (IF 3.3) Pub Date : 2024-03-15 Masahito Ohue, Kotoyu Sasayama, Masami Takata
The rapidly advancing fields of machine learning and mathematical modeling, greatly enhanced by the recent growth in artificial intelligence, are the focus of this special issue. This issue compiles extensively revised and improved versions of the top papers from the workshop on Mathematical Modeling and Problem Solving at PDPTA'23, the 29th International Conference on Parallel and Distributed Processing
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Underwater target detection and embedded deployment based on lightweight YOLO_GN J. Supercomput. (IF 3.3) Pub Date : 2024-03-15
Abstract In order to solve the problem of missing various targets due to the limited memory and computing power of underwater equipment and also the complexity of the underwater environment, a lightweight and efficient underwater target detection algorithm YOLO_GN (YOLO with Ghost network) is proposed. Based on the basic framework of YOLOv5s, the algorithm designs a new backbone using GhostNetV2 and
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A universal parallel simulation framework for energy pipeline networks on high-performance computers J. Supercomput. (IF 3.3) Pub Date : 2024-03-15 Pu Han, Haobo Hua, Hai Wang, Fei Xue, Changmao Wu, Jiandong Shang
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Correction to: Love evolution algorithm: a stimulus–value–role theory-inspired evolutionary algorithm for global optimization J. Supercomput. (IF 3.3) Pub Date : 2024-03-14 Yuansheng Gao, Jiahui Zhang, Yulin Wang, Jinpeng Wang, Lang Qin
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Fft-asvr: an adaptive approach for accurate prediction of IoT data streams J. Supercomput. (IF 3.3) Pub Date : 2024-03-14 Manish Kumar Maurya, Vivek Kumar Singh, Sandeep Kumar Shaw, Manish Kumar
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RCFS: rate and cost fair CPU scheduling strategy in edge nodes J. Supercomput. (IF 3.3) Pub Date : 2024-03-14 Yumiao Zhao, HuanLe Rao, Kelei Le, Wei Wang, Youqing Xu, Gangyong Jia
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Lowering the cost of quantum comparator circuits J. Supercomput. (IF 3.3) Pub Date : 2024-03-13 Laura M. Donaire, Gloria Ortega, Ester M. Garzón, Francisco Orts
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Energy-efficient resource-constrained multi-project scheduling problem with generalized precedence relations and multi-skilled resources J. Supercomput. (IF 3.3) Pub Date : 2024-03-13 Ehsan Goudarzi, Hamid Esmaeeli, Kia Parsa, Shervin Asadzadeh
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Ethchecker: a context-guided fuzzing for smart contracts J. Supercomput. (IF 3.3) Pub Date : 2024-03-13
Abstract Ethereum is the most widely used open-source public chain project, with smart contracts serving as the pattern for developing decentralized applications. The prevalence of attacks against smart contracts has increased in recent years due to the attached amounts of high-value cryptocurrency. Various attacks against smart contracts have caused significant financial losses, amounting to hundreds
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Revisiting the performance optimization of QR factorization on Intel KNL and SKL multiprocessors J. Supercomput. (IF 3.3) Pub Date : 2024-03-13 Muhammad Rizwan, Enoch Jung, Jongsun Choi, Jaeyoung Choi
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Automatic generation of ARM NEON micro-kernels for matrix multiplication J. Supercomput. (IF 3.3) Pub Date : 2024-03-12 Guillermo Alaejos, Héctor Martínez, Adrián Castelló, Manuel F. Dolz, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
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Intrusion detection system: a deep neural network-based concatenated approach J. Supercomput. (IF 3.3) Pub Date : 2024-03-12
Abstract In recent years, the field of information security has seen a substantial rise in the use of approaches that include deep learning. The implementation of deep learning strategies into intrusion detection systems has proven to be rather successful. In this study, we use an optimization strategy to provide a concatenated learning model that is based on three different convolution neural network
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Modified imperialist competitive algorithm for aircraft landing scheduling problem J. Supercomput. (IF 3.3) Pub Date : 2024-03-12 Kimia Shirini, Hadi S. Aghdasi, Saeed Saeedvand
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Security enhanced privacy-preserving data aggregation scheme for intelligent transportation system J. Supercomput. (IF 3.3) Pub Date : 2024-03-12 Kaizhong Zuo, Xixi Chu, Peng Hu, Tianjiao Ni, Tingting Jin, Fulong Chen, Zhangyi Shen
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Enhancing heterogeneous cluster efficiency through node-centric scheduling J. Supercomput. (IF 3.3) Pub Date : 2024-03-11 Esteban Stafford, Jose Luis Bosque
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A new thread-level speculative automatic parallelization model and library based on duplicate code execution J. Supercomput. (IF 3.3) Pub Date : 2024-03-11 Millán A. Martínez, Basilio B. Fraguela, José C. Cabaleiro, Francisco F. Rivera
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Block-wise dynamic mixed-precision for sparse matrix-vector multiplication on GPUs J. Supercomput. (IF 3.3) Pub Date : 2024-03-11 Zhixiang Zhao, Guoyin Zhang, Yanxia Wu, Ruize Hong, Yiqing Yang, Yan Fu
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SWattention: designing fast and memory-efficient attention for a new Sunway Supercomputer J. Supercomput. (IF 3.3) Pub Date : 2024-03-11 Ruohan Wu, Xianyu Zhu, Junshi Chen, Sha Liu, Tianyu Zheng, Xin Liu, Hong An
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DBU-PG: energy-efficient noc design using dual-buffering power gating J. Supercomput. (IF 3.3) Pub Date : 2024-03-10 Yiming Ouyang, Cheng Cao, Dongyu Xu, Wu Zhou, Zhengfeng Huang, Huaguo Liang
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An improved resampling particle filter algorithm based on digital twin J. Supercomput. (IF 3.3) Pub Date : 2024-03-10 Junfeng Li, Jianyu Wang
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Token open secure and practical NTRU-based updatable encryption J. Supercomput. (IF 3.3) Pub Date : 2024-03-09 Yang Song, Haiying Gao, Shiyu Wang, Chao Ma, Keshuo Sun
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Alya toward exascale: algorithmic scalability using PSCToolkit J. Supercomput. (IF 3.3) Pub Date : 2024-03-09 Herbert Owen, Oriol Lehmkuhl, Pasqua D’Ambra, Fabio Durastante, Salvatore Filippone
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Artificial intelligence for detection of lung cancer using transfer learning and morphological features J. Supercomput. (IF 3.3) Pub Date : 2024-03-09 Nafe Muhtasim, Umma Hany, Tahmina Islam, Nusrat Nawreen, Abdullah Al Mamun
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An efficient deep recurrent neural network for detection of cyberattacks in realistic IoT environment J. Supercomput. (IF 3.3) Pub Date : 2024-03-09
Abstract The rapid growth of Internet of Things (IoT) devices has changed human interactions with the environment. IoT networks require specialized defense strategies distinct from traditional corporate contexts. Security measures such as anti-malware software, firewalls, authentication protocols, and encryption techniques are established but face limitations against evolving attack strategies. Therefore
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Embedding $$(K_9-C_9)^n$$ into interconnection networks J. Supercomput. (IF 3.3) Pub Date : 2024-03-07
Abstract In the world of virtual and connected networks, the study of network’s computing capabilities through graph embedding has grown in prominence. In order to implement algorithms created for the guest graph in the host graph, embedding involves simulating one architecture, called the guest, into another, called the host. In this paper, we have obtained the optimal wirelength of embedding \((K_9-C_9)^n\)
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A novel multi-level hybrid load balancing and tasks scheduling algorithm for cloud computing environment J. Supercomput. (IF 3.3) Pub Date : 2024-03-06 Nadim Elsakaan, Kamal Amroun
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Accelerating the detection of DNA differentially methylated regions using multiple GPUs J. Supercomput. (IF 3.3) Pub Date : 2024-03-06 Carlos Reaño, Ricardo Olanda, Elvira Baydal, Mariano Pérez, Juan M. Orduña
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Efficient FPGA implementation for sound source separation using direction-informed multichannel non-negative matrix factorization J. Supercomput. (IF 3.3) Pub Date : 2024-03-06
Abstract Sound source separation (SSS) is a fundamental problem in audio signal processing, aiming to recover individual audio sources from a given mixture. A promising approach is multichannel non-negative matrix factorization (MNMF), which employs a Gaussian probabilistic model encoding both magnitude correlations and phase differences between channels through spatial covariance matrices (SCM). In
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A hybrid semantic recommender system based on an improved clustering J. Supercomput. (IF 3.3) Pub Date : 2024-03-05 Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee, Ahmad Keshavarz
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Fake news detection based on dual-channel graph convolutional attention network J. Supercomput. (IF 3.3) Pub Date : 2024-03-04
Abstract Fake news detection has attracted significant attention since the spread of fake news on social media has affected the media’s credibility. Some existing fake news detection models only applied news content features as input. They treated the extracted news and user features as text but ignored the interaction between the various components of the news. Furthermore, the news dissemination
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Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing J. Supercomput. (IF 3.3) Pub Date : 2024-03-04 Silvia R. Alcaraz, Ruben Laso, Oscar G. Lorenzo, David L. Vilariño, Tomás F. Pena, Francisco F. Rivera
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BTS-ADCNN: brain tumor segmentation based on rapid anisotropic diffusion function combined with convolutional neural network using MR images J. Supercomput. (IF 3.3) Pub Date : 2024-03-04
Abstract Brain cancer is a fatal and debilitating condition that has a profoundly negative impact on patients' lives. Therefore, early diagnosis of brain tumors enhances the effectiveness of treatment and raises patient survival rates. However, it is a challenging task and an unmet need to identify brain tumors in their early stages. In the presented work, a rapid and efficient algorithm for tumor
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Paired restraint domination in extended supergrid graphs J. Supercomput. (IF 3.3) Pub Date : 2024-03-04
Abstract Consider a graph G with vertex set V(G) and edge set E(G). A subset D of V(G) is said to be a dominating set of G if every vertex not in D is adjacent to at least one vertex in D. If, in addition, every vertex not in a dominating set R of G is adjacent to at least one vertex in \(V(G)-R\) , then R is called a restrained dominating set of G. A paired restraint dominating set S of a graph G
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Hybrid technique for fundus image enhancement using modified morphological filter and denoising net J. Supercomput. (IF 3.3) Pub Date : 2024-03-04 A. Anilet Bala, P. Aruna Priya, Vivek Maik
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An optimized AdaBoost algorithm with atherosclerosis diagnostic applications: adaptive weight-adjustable boosting J. Supercomput. (IF 3.3) Pub Date : 2024-03-02 Sensen Wang, Wenjun Liu, Shuaibin Yang, Hui Huang
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Parallel implementations of post-quantum leighton-Micali signature on multiple nodes J. Supercomput. (IF 3.3) Pub Date : 2024-03-01 Yan Kang, Xiaoshe Dong, Ziheng Wang, Heng Chen, Qiang Wang
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Accurate remaining useful life estimation of lithium-ion batteries in electric vehicles based on a measurable feature-based approach with explainable AI J. Supercomput. (IF 3.3) Pub Date : 2024-03-01 Sadiqa Jafari, Yung Cheol Byun
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swPTS: an efficient parallel Thomas split algorithm for tridiagonal systems on Sunway manycore processors J. Supercomput. (IF 3.3) Pub Date : 2024-03-01 Min Tian, Qi Liu, Jingshan Pan, Ying Gou, Zanjun Zhang
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MFMDet: multi-scale face mask detection using improved Cascade rcnn J. Supercomput. (IF 3.3) Pub Date : 2024-03-01 Ruyi Cao, Wanghao Mo, Wendong Zhang
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MIFNet: multimodal interactive fusion network for medication recommendation J. Supercomput. (IF 3.3) Pub Date : 2024-02-12 Jiazhen Huo, Zhikai Hong, Mingzhou Chen, Yongrui Duan
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Love Evolution Algorithm: a stimulus–value–role theory-inspired evolutionary algorithm for global optimization J. Supercomput. (IF 3.3) Pub Date : 2024-02-12 Yuansheng Gao, Jiahui Zhang, Yulin Wang, Jinpeng Wang, Lang Qin
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A novel user preference-aware content caching algorithm in mobile edge networks J. Supercomput. (IF 3.3) Pub Date : 2024-02-10 Mostafa Taghizade Firouzjaee, Kamal Jamshidi, Neda Moghim
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Large neighborhood local search method with MIP techniques for large-scale machining scheduling with many constraints J. Supercomput. (IF 3.3) Pub Date : 2024-02-10
Abstract This study addresses the problem of scheduling machining operations in a highly automated manufacturing environment while considering the work styles of workers. In actual manufacturing, many aspects of the operation must be considered, such as constraints related to the works to be machined in the machining schedule and the states of the workers. To derive good solutions for such a large-scale
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Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors J. Supercomput. (IF 3.3) Pub Date : 2024-02-09 Rui Zhong, Enzhi Zhang, Masaharu Munetomo
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DL-HIDS: deep learning-based host intrusion detection system using system calls-to-image for containerized cloud environment J. Supercomput. (IF 3.3) Pub Date : 2024-02-09
Abstract In the rapidly evolving IT industry, containerization has introduced new security challenges including cloud data breaches. DL-HIDS explores the application of Deep Learning (DL) techniques for detecting such attacks. Various system call-based features, including the sequence, frequency, and metadata of system calls, as well as images, derived from these calls were explored. While using images
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LBB: load-balanced batching for efficient distributed learning on heterogeneous GPU cluster J. Supercomput. (IF 3.3) Pub Date : 2024-02-09 Feixiang Yao, Zhonghao Zhang, Zeyu Ji, Bin Liu, Haoyuan Gao
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Neural network-based cross-channel chroma prediction for versatile video coding J. Supercomput. (IF 3.3) Pub Date : 2024-02-08
Abstract Despite linear models being introduced in the latest versatile video coding (VVC) standard to exploit the correlation among luma and chroma channels for removing redundancy, these models cannot take into account the nonlinearity of components, resulting in degraded intraprediction precision. In this paper, a neural network-based method is proposed for cross-channel chroma intraprediction to
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Research on low-carbon flexible job shop scheduling problem based on improved Grey Wolf Algorithm J. Supercomput. (IF 3.3) Pub Date : 2024-02-07 Kai Zhou, Chuanhe Tan, Yanqiang Wu, Bo Yang, Xiaojun Long
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A position and energy aware multi-objective controller placement and re-placement scheme in distributed SDWSN J. Supercomput. (IF 3.3) Pub Date : 2024-02-07 Abhishek Narwaria, Keshav Soni, Arka Prokash Mazumdar
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Improvement of recognition rate using data augmentation with blurred images J. Supercomput. (IF 3.3) Pub Date : 2024-02-07 Shiori Ishikawa, Miho Chiyonobu, Sayaka Iida, Masami Takata
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Stock recommendation methods for stability J. Supercomput. (IF 3.3) Pub Date : 2024-02-07 Masami Takata, Natsu Kidoguchi, Miho Chiyonobu